+
+الوظائف (⭐= وظائف مُضافة حديثًا) | الوصف
+--- | ---
+⭐[التوصل لنموذج جديد](https://github.com/binary-husky/gpt_academic/wiki/%E5%A6%82%E4%BD%95%E5%88%87%E6%8D%A2%E6%A8%A1%E5%9E%8B)! | بحث بيدو[تشيان فان](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu) ووينسين[جينرال](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary)، مختبرات شنغهاي للذكاء الصناعي[شو شينغ](https://github.com/InternLM/InternLM)، إكسنفلام[زينغهو]https://xinghuo.xfyun.cn/)، [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf)، واجهة بيانية ذكية و3 خدمات إضافية [DALLE3]
+الجودة الفائقة، الترجمة، شرح الكود | الإصلاح الفوري للاخطاء النحوية في الأبحاث وترجمة وتحسين التصريف اللغوي للأكواد
+[اختصارات مخصصة](https://www.bilibili.com/video/BV14s4y1E7jN) | دعم الاختصارات المخصصة
+تصميم قابل للتوسيع | دعم الإضافات القوية المخصصة (الوظائف)، الإضافات قابلة للتحديث بشكل فوري
+[تحليل البرنامج](https://www.bilibili.com/video/BV1cj411A7VW) | [وظائف] التحليل الشجري بناءً على البرنامج من Python/C/C++/Java/Lua/..., أو [التحليل الذاتي](https://www.bilibili.com/video/BV1cj411A7VW)
+قراءة وترجمة الأبحاث | [وظائف] فك تشفير كامل لأوراق البحث بتنسيق LaTeX/PDF وإنشاء مستخلص
+ترجمة وتحسين أوراق اللاتكس | [وظائف] ترجمة أو تحسين الأوراق المكتوبة بلاتكس
+إنشاء تعليقات الدوال دفعة واحدة | [وظائف] إنشاء تعليقات الدوال بدفعة واحدة
+ترجمة Markdown بين اللغتين العربية والإنجليزية | [وظائف] هل رأيت الـ 5 لغات المستخدمة في منشور [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) ؟
+إنشاء تقرير تحليل الدردشة | [وظائف] إنشاء تقرير ملخص بعد تشغيله
+ترجمة كاملة لأوراق PDF | [وظائف] تحليل الأوراق بتنسيق PDF لتحديد العنوان وملخصها وترجمتها (متعدد الخيوط)
+مساعدة Arxiv | [وظائف] قم بإدخال رابط مقال Arxiv لترجمة الملخص وتحميل ملف PDF
+تصحيح لاتكس بضغطة زر واحدة | [وظائف] إكمال تصحيح لاتكس بناءً على التركيبة النحوية، إخراج همز المقابل للمقارنة PDF
+مساعد بحث Google بنسخة محلية | [وظائف] قم بتقديم رابط لصفحة بحث Google Scholar العشوائي حتى يساعدك GPT في كتابة [الأبحاث المتعلقة](https://www.bilibili.com/video/BV1GP411U7Az/)
+تجميع معلومات الويب + GPT | [وظائف] جمع المعلومات من الويب بشكل سهل للرد على الأسئلة لجعل المعلومات محدثة باستمرار
+⭐ترجمة دقيقة لأوراق Arxiv ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [وظائف] ترجمة مقالات Arxiv عالية الجودة بنقرة واحدة، أفضل أداة حاليا للترجمة
+⭐[إدخال الصوت الفوري](https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md) | [وظائف] (غير متزامن) استماع الصوت وقطعه تلقائيًا وتحديد وقت الإجابة تلقائيًا
+عرض الصيغ/الصور/الجداول | يمكن عرض الصيغ بشكل [TEX](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png) وأيضًا بتنسيق رسومي، يدعم عرض الصيغ وإبراز الكود
+⭐إضغط على وكيل "شارلوت الذكي" | [وظائف] استكمال الذكاء للكأس الأول للذكاء المكتسب من مايكروسوفت، اكتشاف وتطوير عالمي العميل
+تبديل الواجهة المُظلمة | يمكنك التبديل إلى الواجهة المظلمة بإضافة ```/?__theme=dark``` إلى نهاية عنوان URL في المتصفح
+دعم المزيد من نماذج LLM | دعم لجميع GPT3.5 وGPT4 و[ChatGLM2 في جامعة ثوه في لين](https://github.com/THUDM/ChatGLM2-6B) و[MOSS في جامعة فودان](https://github.com/OpenLMLab/MOSS)
+⭐تحوي انطباعة "ChatGLM2" | يدعم استيراد "ChatGLM2" ويوفر إضافة المساعدة في تعديله
+دعم المزيد من نماذج "LLM"، دعم [نشر الحديس](https://huggingface.co/spaces/qingxu98/gpt-academic) | انضم إلى واجهة "Newbing" (Bing الجديدة)،نقدم نماذج Jittorllms الجديدة تؤيدهم [LLaMA](https://github.com/facebookresearch/llama) و [盘古α](https://openi.org.cn/pangu/)
+⭐حزمة "void-terminal" للشبكة (pip) | قم بطلب كافة وظائف إضافة هذا المشروع في python بدون واجهة رسومية (قيد التطوير)
+⭐PCI-Express لإعلام (PCI) | [وظائف] باللغة الطبيعية، قم بتنفيذ المِهام الأخرى في المشروع
+المزيد من العروض (إنشاء الصور وغيرها)……| شاهد أكثر في نهاية هذا المستند ...
+
+
+
+- شكل جديد (عن طريق تعديل الخيار LAYOUT في `config.py` لقانون التوزيع "اليمين أو اليسار" أو "الأعلى أو الأسفل")
+
+
+Feature (⭐ = Recently Added) | Description
+--- | ---
+⭐[Integrate New Models](https://github.com/binary-husky/gpt_academic/wiki/%E5%A6%82%E4%BD%95%E5%88%87%E6%8D%A2%E6%A8%A1%E5%9E%8B) | Baidu [Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu) and Wenxin Yiyu, [Tongyi Qianwen](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), Shanghai AI-Lab [Shusheng](https://github.com/InternLM/InternLM), Xunfei [Xinghuo](https://xinghuo.xfyun.cn/), [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), Zhifu API, DALLE3
+Proofreading, Translation, Code Explanation | One-click proofreading, translation, searching for grammar errors in papers, explaining code
+[Custom Shortcuts](https://www.bilibili.com/video/BV14s4y1E7jN) | Support for custom shortcuts
+Modular Design | Support for powerful [plugins](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions), plugins support [hot updates](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
+[Program Profiling](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin] One-click to profile Python/C/C++/Java/Lua/... project trees or [self-profiling](https://www.bilibili.com/video/BV1cj411A7VW)
+Read Papers, [Translate](https://www.bilibili.com/video/BV1KT411x7Wn) Papers | [Plugin] One-click to interpret full-text latex/pdf papers and generate abstracts
+Full-text Latex [Translation](https://www.bilibili.com/video/BV1nk4y1Y7Js/), [Proofreading](https://www.bilibili.com/video/BV1FT411H7c5/) | [Plugin] One-click translation or proofreading of latex papers
+Batch Comment Generation | [Plugin] One-click batch generation of function comments
+Markdown [Translation](https://www.bilibili.com/video/BV1yo4y157jV/) | [Plugin] Did you see the [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) in the top five languages?
+Chat Analysis Report Generation | [Plugin] Automatically generates summary reports after running
+[PDF Paper Full-text Translation](https://www.bilibili.com/video/BV1KT411x7Wn) | [Plugin] Extract title & abstract of PDF papers + translate full-text (multi-threaded)
+[Arxiv Helper](https://www.bilibili.com/video/BV1LM4y1279X) | [Plugin] Enter the arxiv article URL to translate the abstract + download PDF with one click
+One-click Proofreading of Latex Papers | [Plugin] Syntax and spelling correction of Latex papers similar to Grammarly + output side-by-side PDF
+[Google Scholar Integration Helper](https://www.bilibili.com/video/BV19L411U7ia) | [Plugin] Given any Google Scholar search page URL, let GPT help you [write related works](https://www.bilibili.com/video/BV1GP411U7Az/)
+Internet Information Aggregation + GPT | [Plugin] One-click to let GPT retrieve information from the Internet to answer questions and keep the information up to date
+⭐Arxiv Paper Fine Translation ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [Plugin] One-click [high-quality translation of arxiv papers](https://www.bilibili.com/video/BV1dz4y1v77A/), the best paper translation tool at present
+⭐[Real-time Speech Input](https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md) | [Plugin] Asynchronously [listen to audio](https://www.bilibili.com/video/BV1AV4y187Uy/), automatically segment sentences, and automatically find the best time to answer
+Formula/Image/Table Display | Can simultaneously display formulas in [TeX form and rendered form](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png), support formula and code highlighting
+⭐AutoGen Multi-Agent Plugin | [Plugin] Explore the emergence of multi-agent intelligence with Microsoft AutoGen!
+Start Dark [Theme](https://github.com/binary-husky/gpt_academic/issues/173) | Add ```/?__theme=dark``` to the end of the browser URL to switch to the dark theme
+[More LLM Model Support](https://www.bilibili.com/video/BV1wT411p7yf) | It must be great to be served by GPT3.5, GPT4, [THU ChatGLM2](https://github.com/THUDM/ChatGLM2-6B), and [Fudan MOSS](https://github.com/OpenLMLab/MOSS) at the same time, right?
+⭐ChatGLM2 Fine-tuning Model | Support for loading ChatGLM2 fine-tuning models and providing ChatGLM2 fine-tuning assistant plugins
+More LLM Model Access, support for [huggingface deployment](https://huggingface.co/spaces/qingxu98/gpt-academic) | Join NewBing interface (New Bing), introduce Tsinghua [JittorLLMs](https://github.com/Jittor/JittorLLMs) to support [LLaMA](https://github.com/facebookresearch/llama) and [Pangu](https://openi.org.cn/pangu/)
+⭐[void-terminal](https://github.com/binary-husky/void-terminal) pip package | Use this project's all function plugins directly in Python without GUI (under development)
+⭐Void Terminal Plugin | [Plugin] Schedule other plugins of this project directly in natural language
+More New Feature Demonstrations (Image Generation, etc.)...... | See the end of this document ........
+
+
+
+- New interface (modify the LAYOUT option in `config.py` to switch between "left-right layout" and "top-bottom layout")
+
+
+Fonctionnalités (⭐ = fonctionnalité récemment ajoutée) | Description
+--- | ---
+⭐[Modèles acquis](https://github.com/binary-husky/gpt_academic/wiki/如何切换模型)！ | Baidu [Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu) et Wenxin Yiyuan, [Tongyi Qianwen](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), Shanghai AI-Lab [Shusheng](https://github.com/InternLM/InternLM), Xunfei [Xinghuo](https://xinghuo.xfyun.cn/), [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), Zhifu API, DALLE3
+Amélioration, traduction, explication du code | Correction, traduction, recherche d'erreurs de syntaxe dans les articles, explication du code
+[Raccourcis personnalisés](https://www.bilibili.com/video/BV14s4y1E7jN) | Prise en charge de raccourcis personnalisés
+Conception modulaire | Prise en charge de plugins puissants personnalisables, prise en charge de la [mise à jour à chaud](https://github.com/binary-husky/gpt_academic/wiki/函数插件指南) des plugins
+[Analyse de programme](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin] Analyse en profondeur d'un arbre de projets Python/C/C++/Java/Lua/... d'un simple clic ou [auto-analyse](https://www.bilibili.com/video/BV1cj411A7VW)
+Lecture d'articles, traduction d'articles | [Plugin] Lecture automatique des articles LaTeX/PDF et génération du résumé
+Traduction complète de [LaTeX](https://www.bilibili.com/video/BV1nk4y1Y7Js/) ou amélioration de leur qualité | [Plugin] Traduction ou amélioration rapide des articles LaTeX
+Génération de commentaires en masse | [Plugin] Génération facile de commentaires de fonctions
+Traduction [chinois-anglais](https://www.bilibili.com/video/BV1yo4y157jV/) du Markdown | [Plugin] Avez-vous vu le [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) dans les cinq langues ci-dessus ?
+Génération de rapports d'analyse du chat | [Plugin] Génération automatique d'un rapport récapitulatif après l'exécution du chat
+[Fonction de traduction complète des articles PDF](https://www.bilibili.com/video/BV1KT411x7Wn) | [Plugin] Extraction du titre et du résumé d'un article PDF, ainsi que traduction intégrale (multithreading)
+Assistant Arxiv | [Plugin] Saisissez l'URL d'un article Arxiv pour traduire automatiquement le résumé et télécharger le PDF
+Correction automatique d'articles LaTeX | [Plugin] Correction de la grammaire, de l'orthographe et comparaison avec le PDF correspondant, à la manière de Grammarly
+Assistant Google Scholar | [Plugin] Donner l'URL d'une page de recherche Google Scholar pour obtenir de l'aide sur l'écriture des références
+Agrégation d'informations sur Internet + GPT | [Plugin] Obtenez les informations de l'Internet pour répondre aux questions à l'aide de GPT, afin que les informations ne soient jamais obsolètes
+⭐Traduction détaillée des articles Arxiv ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [Plugin] Traduction de haute qualité d'articles Arxiv en un clic, le meilleur outil de traduction d'articles à ce jour
+⭐[Saisie orale en temps réel](https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md) | [Plugin] Écoute asynchrone de l'audio, découpage automatique et recherche automatique du meilleur moment pour répondre
+Affichage des formules, images, tableaux | Affichage simultané de la forme [TeX et rendue](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png) des formules, prise en charge de la mise en évidence des formules et du code
+⭐Plugin AutoGen multi-agents | [Plugin] Explorez les émergences intelligentes à plusieurs agents avec Microsoft AutoGen !
+Activation du [thème sombre](https://github.com/binary-husky/gpt_academic/issues/173) | Ajouter ```/?__theme=dark``` à l'URL du navigateur pour basculer vers le thème sombre
+Prise en charge de plusieurs modèles LLM | Expérimentez avec GPT 3.5, GPT4, [ChatGLM2 de Tsinghua](https://github.com/THUDM/ChatGLM2-6B), [MOSS de Fudan](https://github.com/OpenLMLab/MOSS) simultanément !
+⭐Modèle ChatGLM2 fine-tuned | Chargez et utilisez un modèle fine-tuned de ChatGLM2, disponible avec un plugin d'assistance
+Prise en charge de plus de modèles LLM, déploiement sur [Huggingface](https://huggingface.co/spaces/qingxu98/gpt-academic) | Ajout de l'interface de connaissance-API, support de [LLaMA](https://github.com/facebookresearch/llama) et [PanGuα](https://openi.org.cn/pangu/)
+⭐Paquet pip [void-terminal](https://github.com/binary-husky/void-terminal) | Accédez à toutes les fonctions et plugins de ce projet directement depuis Python (en cours de développement)
+⭐Plugin terminal du vide | [Plugin] Utilisez un langage naturel pour interagir avec les autres plugins du projet
+Affichage de nouvelles fonctionnalités (génération d'images, etc.) …… | Voir à la fin de ce document ……
+
+
+
+- Nouvelle interface (modifiez l'option LAYOUT dans `config.py` pour basculer entre la disposition "gauche-droite" et "haut-bas")
+
+
+Funktionen (⭐= Kürzlich hinzugefügte Funktion) | Beschreibung
+--- | ---
+⭐[Neues Modell integrieren](https://github.com/binary-husky/gpt_academic/wiki/%E5%A6%82%E4%BD%95%E5%88%87%E6%8D%A2%E6%A8%A1%E5%9E%8B)! | Baidu [Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu) und Wenxin Yanyi, [Tongyi Qianwen](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), Shanghai AI-Lab [Shusheng](https://github.com/InternLM/InternLM), Xunfei [Xinghuo](https://xinghuo.xfyun.cn/), [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), Cognitive Graph API, DALLE3
+Verfeinern, Übersetzen, Codierung erläutern | Ein-Klick-Verfeinerung, Übersetzung, Suche nach grammatikalischen Fehlern in wissenschaftlichen Arbeiten, Erklärung von Code
+[Eigene Tastenkombinationen](https://www.bilibili.com/video/BV14s4y1E7jN) definieren | Eigene Tastenkombinationen definieren
+Modulare Gestaltung | Ermöglicht die Verwendung benutzerdefinierter leistungsstarker [Plugins](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions), Plugins unterstützen [Hot-Reload](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
+[Programmanalyse](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin] Ermöglicht die Erstellung einer Projekthierarchie für Python/C/C++/Java/Lua/... mit nur einem Klick oder [Selbstanalyse](https://www.bilibili.com/video/BV1cj411A7VW)
+Lesen von Forschungsarbeiten, Übersetzen von Forschungsarbeiten | [Plugin] Ermöglicht eine Umwandlung des gesamten Latex-/PDF-Forschungspapiers mit nur einem Klick und generiert eine Zusammenfassung
+Latex-Übersetzung des vollständigen Textes, Ausbesserung | [Plugin] Ermöglicht eine Übersetzung oder Verbesserung der Latex-Forschungsarbeit mit nur einem Klick
+Erzeugen von Batch-Anmerkungen | [Plugin] Erzeugt Funktionserläuterungen in Stapeln
+Markdown- [En-De-Übersetzung](https://www.bilibili.com/video/BV1yo4y157jV/) | [Plugin] Haben Sie die [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) in den oben genannten 5 Sprachen gesehen?
+Erzeugen eines Chat-Analyseberichts | [Plugin] Generiert einen zusammenfassenden Bericht nach der Ausführung
+PDF-Textübersetzungsmerkmal | [Plugin] Extrahiert Titel und Zusammenfassung des PDF-Dokuments und übersetzt den vollständigen Text (mehrfädig)
+Arxiv-Assistent | [Plugin] Geben Sie die URL eines Arxiv-Artikels ein, um eine Zusammenfassung zu übersetzen und die PDF-Datei herunterzuladen
+Automatische Überprüfung von Latex-Artikeln | [Plugin] Überprüft die Grammatik und Rechtschreibung von Latex-Artikeln nach dem Vorbild von Grammarly und generiert eine PDF-Vergleichsdatei
+Google Scholar Integration Assistant | [Plugin] Geben Sie eine beliebige URL der Google Scholar-Suchseite ein und lassen Sie GPT Ihre [Verwandten Arbeiten](https://www.bilibili.com/video/BV1GP411U7Az/) schreiben
+Internetinformationsaggregation + GPT | [Plugin] Ermöglicht es GPT, Fragen durch das Durchsuchen des Internets zu beantworten und Informationen immer auf dem neuesten Stand zu halten
+⭐Feine Übersetzung von Arxiv-Artikeln ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [Plugin] Übersetzt Arxiv-Artikel [mit hoher Qualität](https://www.bilibili.com/video/BV1dz4y1v77A/) mit einem Klick - das beste Übersetzungstool für wissenschaftliche Artikel
+⭐[Echtzeit-Spracheingabe](https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md) | [Plugin] [Asynchrones Lauschen auf Audio-Eingabe](https://www.bilibili.com/video/BV1AV4y187Uy/), automatisches Zerschneiden des Textes, automatische Suche nach dem richtigen Zeitpunkt zur Beantwortung
+Darstellen von Formeln/Bildern/Tabellen | Zeigt Formeln sowohl in [TEX-](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png)- als auch in gerenderten Formen an, unterstützt Formeln und Code-Hervorhebung
+⭐AutoGen Multi-Agent Plugin | [Plugin] Erforscht die Möglichkeiten des emergenten Verhaltens von Multi-Agent-Systemen mit Microsoft AutoGen!
+Start im Dark-Theme | Um das Dark-Theme zu aktivieren, fügen Sie ```/?__theme=dark``` am Ende der URL im Browser hinzu
+[Mehrsprachige LLM-Modelle](https://www.bilibili.com/video/BV1wT411p7yf) unterstützt | Es ist sicherlich beeindruckend, von GPT3.5, GPT4, [ChatGLM2 der Tsinghua University](https://github.com/THUDM/ChatGLM2-6B), [MOSS der Fudan University](https://github.com/OpenLMLab/MOSS) bedient zu werden, oder?
+⭐ChatGLM2 Feinabstimmungsmodell | Unterstützt das Laden von ChatGLM2-Feinabstimmungsmodellen und bietet Unterstützung für ChatGLM2-Feinabstimmungsassistenten
+Integration weiterer LLM-Modelle, Unterstützung von [Huggingface-Deployment](https://huggingface.co/spaces/qingxu98/gpt-academic) | Hinzufügen der Newbing-Schnittstelle (neues Bing), Einführung der [Jittorllms der Tsinghua University](https://github.com/Jittor/JittorLLMs) zur Unterstützung von LLaMA und PanGu Alpha
+⭐[void-terminal](https://github.com/binary-husky/void-terminal) Pip-Paket | Verwenden Sie das Projekt in Python direkt, indem Sie das gesamte Funktionsplugin verwenden (in Entwicklung)
+⭐Void-Terminal-Plugin | [Plugin] Verwenden Sie natürliche Sprache, um andere Funktionen dieses Projekts direkt zu steuern
+Weitere Funktionen anzeigen (z. B. Bildgenerierung) …… | Siehe das Ende dieses Dokuments ……
+
+
+
+- Neues Interface (Ändern Sie die LAYOUT-Option in der `config.py`, um zwischen "Links-Rechts-Layout" und "Oben-Unten-Layout" zu wechseln)
+
+
+Funzionalità (⭐ = Nuove funzionalità recenti) | Descrizione
+--- | ---
+⭐[Integrazione di nuovi modelli](https://github.com/binary-husky/gpt_academic/wiki/%E5%A6%82%E4%BD%95%E5%88%87%E6%8D%A2%E6%A8%A1%E5%9E%8B)！ | Baidu [Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu) e [Wenxin](https://cloud.baidu.com/doc/GUIDE/5268.9) Intelligence, [Tongyi Qianwen](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), Shanghai AI-Lab [bookbrain](https://github.com/InternLM/InternLM), Xunfei [Xinghuo](https://xinghuo.xfyun.cn/), [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), Zhipu API, DALLE3
+Revisione, traduzione, spiegazione del codice | Revisione, traduzione, ricerca errori grammaticali nei documenti e spiegazione del codice con un clic
+[Tasti di scelta rapida personalizzati](https://www.bilibili.com/video/BV14s4y1E7jN) | Supporta tasti di scelta rapida personalizzati
+Design modulare | Supporto per plugin personalizzati potenti, i plugin supportano l'[aggiornamento in tempo reale](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
+[Analisi del codice](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin] Un clic per analizzare alberi di progetti Python/C/C++/Java/Lua/... o [autoanalisi](https://www.bilibili.com/video/BV1cj411A7VW)
+Lettura di documenti, traduzione di documenti | [Plugin] Un clic per interpretare documenti completi in latex/pdf e generare un riassunto
+Traduzione completa di testi in Latex, revisione completa di testi in Latex | [Plugin] Un clic per tradurre o correggere documenti in latex
+Generazione automatica di commenti in batch | [Plugin] Un clic per generare commenti di funzione in batch
+Traduzione [cinese-inglese](https://www.bilibili.com/video/BV1yo4y157jV/) in Markdown | [Plugin] Hai visto sopra i README in 5 lingue diverse ([Inglese](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md))?
+Generazione di rapporti di analisi chat | [Plugin] Genera automaticamente un rapporto di sintesi dopo l'esecuzione
+Funzionalità di traduzione di testo completo in PDF | [Plugin] Estrai il titolo e il riassunto dei documenti PDF e traduci tutto il testo (multithreading)
+Aiutante per Arxiv | [Plugin] Inserisci l'URL dell'articolo Arxiv per tradurre riassunto e scaricare PDF in un clic
+Controllo completo dei documenti in Latex | [Plugin] Rileva errori grammaticali e ortografici nei documenti in Latex simile a Grammarly + Scarica un PDF per il confronto
+Assistente per Google Scholar | [Plugin] Dato qualsiasi URL della pagina di ricerca di Google Scholar, fai scrivere da GPT gli *articoli correlati* per te
+Concentrazione delle informazioni di Internet + GPT | [Plugin] [Recupera informazioni da Internet](https://www.bilibili.com/video/BV1om4y127ck) utilizzando GPT per rispondere alle domande e rendi le informazioni sempre aggiornate
+⭐Traduzione accurata di articoli Arxiv ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [Plugin] [Traduci articoli Arxiv ad alta qualità](https://www.bilibili.com/video/BV1dz4y1v77A/) con un clic, lo strumento di traduzione degli articoli migliore al mondo al momento
+⭐[Inserimento della conversazione vocale in tempo reale](https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md) | [Plugin] [Ascolta l'audio](https://www.bilibili.com/video/BV1AV4y187Uy/) in modo asincrono, taglia automaticamente le frasi e trova automaticamente il momento giusto per rispondere
+Visualizzazione di formule, immagini, tabelle | Mostra contemporaneamente formule in formato tex e renderizzato, supporta formule e evidenziazione del codice
+⭐Plugin multi-agente AutoGen | [Plugin] Esplora le possibilità dell'emergenza intelligence multi-agente con l'aiuto di Microsoft AutoGen!
+Attiva il tema scuro [qui](https://github.com/binary-husky/gpt_academic/issues/173) | Aggiungi ```/?__theme=dark``` alla fine dell'URL del browser per passare al tema scuro
+Supporto di più modelli LLM | Essere servito contemporaneamente da GPT3.5, GPT4, [ChatGLM2 di Tsinghua](https://github.com/THUDM/ChatGLM2-6B), [MOSS di Fudan](https://github.com/OpenLMLab/MOSS)
+⭐Modello di fine-tuning ChatGLM2 | Supporto per l'importazione del modello di fine-tuning di ChatGLM2, fornendo plug-in di assistenza per il fine tuning di ChatGLM2
+Più supporto per modelli LLM, supporto del [deploy di Huggingface](https://huggingface.co/spaces/qingxu98/gpt-academic) | Aggiungi interfaccia Newbing (Bing Translator), introduce il supporto di [JittorLLMs](https://github.com/Jittor/JittorLLMs) di Tsinghua, supporto per [LLaMA](https://github.com/facebookresearch/llama) e [Panguα](https://openi.org.cn/pangu/)
+⭐Pacchetto pip [void-terminal](https://github.com/binary-husky/void-terminal) | Fornisce funzionalità di tutti i plugin di questo progetto direttamente in Python senza GUI (in sviluppo)
+⭐Plugin terminale virtuale | [Plugin] Richiama altri plugin di questo progetto utilizzando linguaggio naturale
+Altre nuove funzionalità (come la generazione di immagini) ... | Vedi alla fine di questo documento ...
+
+
+
+
+- Nuovo layout (modifica l'opzione LAYOUT in `config.py` per passare tra "layout sinistra / destra" e "layout sopra / sotto")
+
+
+機能（⭐= 最近追加された機能） | 説明
+--- | ---
+⭐[新しいモデルの追加](https://github.com/binary-husky/gpt_academic/wiki/%E5%A6%82%E4%BD%95%E5%88%87%E6%8D%A2%E6%A8%A1%E5%9E%8B)！ | Baidu [Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu)とWenxin Yiyu, [Tongyi Qianwen](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), Shanghai AI-Lab [Shusheng](https://github.com/InternLM/InternLM), Xunfei [Xinghuo](https://xinghuo.xfyun.cn/), [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), Zhantu API, DALLE3
+校正、翻訳、コード解説 | 一括校正、翻訳、論文の文法エラーの検索、コードの解説
+[カスタムショートカットキー](https://www.bilibili.com/video/BV14s4y1E7jN) | カスタムショートカットキーのサポート
+モジュール化された設計 | カスタムでパワフルな[プラグイン](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions)のサポート、プラグインの[ホットリロード](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
+[プログラム解析](https://www.bilibili.com/video/BV1cj411A7VW) | [プラグイン] Python/C/C++/Java/Lua/...のプロジェクトツリーを簡単に解析するか、[自己解析](https://www.bilibili.com/video/BV1cj411A7VW)
+論文の読み込み、[翻訳](https://www.bilibili.com/video/BV1KT411x7Wn) | [プラグイン] LaTeX/PDFの論文全文を翻訳して要約を作成する
+LaTeX全文の[翻訳](https://www.bilibili.com/video/BV1nk4y1Y7Js/)、[校正](https://www.bilibili.com/video/BV1FT411H7c5/) | [プラグイン] LaTeX論文を翻訳や校正する
+一括コメント生成 | [プラグイン] 関数コメントを一括生成する
+Markdownの[日英翻訳](https://www.bilibili.com/video/BV1yo4y157jV/) | [プラグイン] 5つの言語（[英語](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md)など）のREADMEをご覧になりましたか？
+チャット分析レポートの生成 | [プラグイン] 実行後にサマリーレポートを自動生成する
+[PDF論文全文の翻訳機能](https://www.bilibili.com/video/BV1KT411x7Wn) | [プラグイン] PDF論文のタイトルと要約を抽出し、全文を翻訳する（マルチスレッド）
+[Arxivアシスタント](https://www.bilibili.com/video/BV1LM4y1279X) | [プラグイン] arxiv論文のURLを入力すると、要約を翻訳してPDFをダウンロードできます
+LaTeX論文の一括校正 | [プラグイン] Grammarlyのように、LaTeX論文の文法とスペルを修正して対照PDFを出力する
+[Google Scholar統合アシスタント](https://www.bilibili.com/video/BV19L411U7ia) | [プラグイン] 任意のGoogle Scholar検索ページのURLを指定して、関連資料をGPTに書かせることができます
+インターネット情報の集約+GPT | [プラグイン] インターネットから情報を取得して質問に答え、情報が常に最新になるようにします
+⭐Arxiv論文の詳細な翻訳 ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [プラグイン] arxiv論文を超高品質で翻訳します。最高の論文翻訳ツールです
+⭐[リアルタイム音声入力](https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md) | [プラグイン] 非同期[音声をリッスン(https://www.bilibili.com/video/BV1AV4y187Uy/)し、自動で文章を区切り、回答のタイミングを自動で探します
+公式/画像/表の表示 | 公式の[tex形式とレンダリング形式](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png)を同時に表示し、公式とコードのハイライトをサポートします
+⭐AutoGenマルチエージェントプラグイン | [プラグイン] Microsoft AutoGenを利用して、マルチエージェントのインテリジェントなエマージェンスを探索します
+ダーク[テーマ](https://github.com/binary-husky/gpt_academic/issues/173)を起動 | ブラウザのURLに```/?__theme=dark```を追加すると、ダークテーマに切り替えられます
+[複数のLLMモデル](https://www.bilibili.com/video/BV1wT411p7yf)のサポート | GPT3.5、GPT4、[Tsinghua ChatGLM2](https://github.com/THUDM/ChatGLM2-6B)、[Fudan MOSS](https://github.com/OpenLMLab/MOSS)などを同時に使えるのは最高の感じですよね？
+⭐ChatGLM2ファインチューニングモデル | ChatGLM2ファインチューニングモデルをロードして使用することができ、ChatGLM2ファインチューニングの補助プラグインが用意されています
+さらなるLLMモデルの導入、[HuggingFaceデプロイのサポート](https://huggingface.co/spaces/qingxu98/gpt-academic) | Newbingインターフェース（新しいBing）の追加、Tsinghua [Jittorllms](https://github.com/Jittor/JittorLLMs)の導入、[LLaMA](https://github.com/facebookresearch/llama)および[盤古α](https://openi.org.cn/pangu/)のサポート
+⭐[void-terminal](https://github.com/binary-husky/void-terminal) pipパッケージ | GUIから独立して、Pythonから直接このプロジェクトのすべての関数プラグインを呼び出せます（開発中）
+⭐Void Terminalプラグイン | [プラグイン] 自然言語で、このプロジェクトの他のプラグインを直接実行します
+その他の新機能の紹介（画像生成など）...... | 末尾をご覧ください ......
+
+
+
+
+- もし出力に数式が含まれている場合、TeX形式とレンダリング形式の両方で表示されます。これにより、コピーと読み取りが容易になります。
+
+
+
+기능 (⭐= 최근 추가 기능) | 설명
+--- | ---
+⭐[새 모델 추가](https://github.com/binary-husky/gpt_academic/wiki/%E5%A6%82%E4%BD%95%E5%88%87%E6%8D%A2%E6%A8%A1%E5%9E%8B)! | Baidu [Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu)와 Wenxin Yiyan, [Tongyi Qianwen](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), Shanghai AI-Lab [Shusheng](https://github.com/InternLM/InternLM), Xunfei [Star](https://xinghuo.xfyun.cn/), [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), Zhipu API, DALLE3
+문체 개선, 번역, 코드 설명 | 일괄적인 문체 개선, 번역, 논문 문법 오류 탐색, 코드 설명
+[사용자 정의 단축키](https://www.bilibili.com/video/BV14s4y1E7jN) | 사용자 정의 단축키 지원
+모듈화 설계 | 사용자 정의 가능한 강력한 [플러그인](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions) 지원, 플러그인 지원 [핫 업데이트](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
+[프로그램 분석](https://www.bilibili.com/video/BV1cj411A7VW) | [플러그인] 한 번에 Python/C/C++/Java/Lua/... 프로젝트 트리를 분석하거나 [자체 분석](https://www.bilibili.com/video/BV1cj411A7VW)
+논문 읽기, 논문 [번역](https://www.bilibili.com/video/BV1KT411x7Wn) | [플러그인] LaTeX/PDF 논문 전문을 읽고 요약 생성
+LaTeX 전체 [번역](https://www.bilibili.com/video/BV1nk4y1Y7Js/), [개선](https://www.bilibili.com/video/BV1FT411H7c5/) | [플러그인] LaTeX 논문 번역 또는 개선
+일괄 주석 생성 | [플러그인] 함수 주석 일괄 생성
+Markdown [한 / 영 번역](https://www.bilibili.com/video/BV1yo4y157jV/) | 위의 5개 언어로 작성된 [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md)를 살펴보셨나요?
+채팅 분석 보고서 생성 | [플러그인] 실행 후 요약 보고서 자동 생성
+[PDF 논문 전체 번역](https://www.bilibili.com/video/BV1KT411x7Wn) 기능 | [플러그인] PDF 논문 제목 및 요약 추출 + 전체 번역 (멀티 스레드)
+[Arxiv 도우미](https://www.bilibili.com/video/BV1LM4y1279X) | [플러그인] arxiv 논문 url 입력시 요약 번역 + PDF 다운로드
+LaTeX 논문 일괄 교정 | [플러그인] Grammarly를 모사하여 LaTeX 논문에 대한 문법 및 맞춤법 오류 교정 + 대조 PDF 출력
+[Google 학술 통합 도우미](https://www.bilibili.com/video/BV19L411U7ia) | 임의의 Google 학술 검색 페이지 URL을 지정하여 gpt가 [related works를 작성](https://www.bilibili.com/video/BV1GP411U7Az/)하게 해주세요.
+인터넷 정보 집계 + GPT | [플러그인] [인터넷에서 정보를 가져와서](https://www.bilibili.com/video/BV1om4y127ck) 질문에 대답하도록 GPT를 자동화하세요. 정보가 절대로 오래되지 않도록 해줍니다.
+⭐Arxiv 논문 세심한 번역 ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [플러그인] [arxiv 논문을 고품질 번역으로](https://www.bilibili.com/video/BV1dz4y1v77A/) 번역하는 최고의 도구
+⭐[실시간 음성 대화 입력](https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md) | [플러그인] 비동기적으로 [오디오를 모니터링](https://www.bilibili.com/video/BV1AV4y187Uy/)하여 문장을 자동으로 분절하고 대답 시기를 자동으로 찾습니다.
+수식/이미지/표 표시 | [tex 형식 및 렌더링 형식](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png)의 수식을 동시에 표시하며, 수식 및 코드 하이라이트 지원
+⭐AutoGen multi-agent 플러그인 | [플러그인] Microsoft AutoGen을 활용하여 여러 개의 에이전트가 지능적으로 발생하는 가능성을 탐색하세요!
+다크 모드 주제 지원 | 브라우저의 URL 뒤에 ```/?__theme=dark```를 추가하여 다크 모드로 전환하세요.
+[다양한 LLM 모델](https://www.bilibili.com/video/BV1wT411p7yf) 지원 | GPT3.5, GPT4, [Tsinghua ChatGLM2](https://github.com/THUDM/ChatGLM2-6B), [Fudan MOSS](https://github.com/OpenLMLab/MOSS)을 함께 사용하는 느낌은 좋을 것입니다, 그렇지 않습니까?
+⭐ChatGLM2 fine-tuned 모델 | ChatGLM2 fine-tuned 모델 로드를 지원하며, ChatGLM2 fine-tuned 보조 플러그인 제공
+더 많은 LLM 모델 연결, [huggingface 배포](https://huggingface.co/spaces/qingxu98/gpt-academic) 지원 | Newbing 인터페이스(신 밍), Tsinghua [Jittorllms](https://github.com/Jittor/JittorLLMs) 도입, [LLaMA](https://github.com/facebookresearch/llama)와 [Pangu-alpha](https://openi.org.cn/pangu/)를 지원합니다.
+⭐[void-terminal](https://github.com/binary-husky/void-terminal) 패키지 | GUI에서 독립, Python에서 이 프로젝트의 모든 함수 플러그인을 직접 호출 (개발 중)
+⭐Void 터미널 플러그인 | [플러그인] 자연어로 이 프로젝트의 다른 플러그인을 직접 영속합니다.
+기타 새로운 기능 소개 (이미지 생성 등) …… | 본 문서 맨 끝 참조 ……
+
+
+
+- 새로운 인터페이스(`config.py`의 LAYOUT 옵션 수정으로 "왼쪽-오른쪽 레이아웃"과 "위-아래 레이아웃"을 전환할 수 있음)
+
+
+Funcionalidades (⭐= funcionalidade recentemente adicionada) | Descrição
+--- | ---
+⭐[Integração com novos modelos](https://github.com/binary-husky/gpt_academic/wiki/%E5%A6%82%E4%BD%95%E5%88%87%E6%8D%A2%E6%A8%A1%E5%9E%8B)！ | [Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu) da Baidu, Wenxin e [Tongyi Qianwen](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), [Shusheng](https://github.com/InternLM/InternLM) da Shanghai AI-Lab, [Xinghuo](https://xinghuo.xfyun.cn/) da Iflytek, [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), Zhipu API, DALLE3
+Aprimoramento, tradução, explicação de códigos | Aprimoramento com um clique, tradução, busca de erros gramaticais em artigos e explicação de códigos
+[Atalhos de teclado personalizados](https://www.bilibili.com/video/BV14s4y1E7jN) | Suporte para atalhos de teclado personalizados
+Design modular | Suporte a plugins poderosos e personalizáveis, plugins com suporte a [atualização a quente](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
+[Análise de código](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin] Análise instantânea da estrutura de projetos em Python/C/C++/Java/Lua/... ou [autoanálise](https://www.bilibili.com/video/BV1cj411A7VW)
+Leitura de artigos, [tradução](https://www.bilibili.com/video/BV1KT411x7Wn) de artigos | [Plugin] Interpretação instantânea de artigos completos em latex/pdf e geração de resumos
+Tradução completa de artigos em latex [PDF](https://www.bilibili.com/video/BV1nk4y1Y7Js/), [aprimoramento](https://www.bilibili.com/video/BV1FT411H7c5/) | [Plugin] Tradução completa ou aprimoramento de artigos em latex com um clique
+Geração em lote de comentários | [Plugin] Geração em lote de comentários de funções com um clique
+Tradução (inglês-chinês) de Markdown | [Plugin] Você já viu o [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) nas 5 línguas acima?
+Criação de relatório de análise de bate-papo | [Plugin] Geração automática de relatório de resumo após a execução
+Tradução [completa de artigos em PDF](https://www.bilibili.com/video/BV1KT411x7Wn) | [Plugin] Extração de título e resumo de artigos em PDF + tradução completa (multithreading)
+Auxiliar Arxiv | [Plugin] Insira o URL de um artigo Arxiv para traduzir o resumo + baixar o PDF com um clique
+Correção automática de artigos em latex | [Plugin] Correções gramaticais e ortográficas de artigos em latex semelhante ao Grammarly + saída PDF comparativo
+Auxiliar Google Scholar | [Plugin] Insira qualquer URL da busca do Google Acadêmico e deixe o GPT [escrever trabalhos relacionados](https://www.bilibili.com/video/BV1GP411U7Az/) para você
+Agregação de informações da Internet + GPT | [Plugin] Capturar informações da Internet e obter respostas de perguntas com o GPT em um clique, para que as informações nunca fiquem desatualizadas
+⭐Tradução refinada de artigos do Arxiv ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [Plugin] Tradução de alta qualidade de artigos do Arxiv com um clique, a melhor ferramenta de tradução de artigos atualmente
+⭐Entrada de conversa de voz em tempo real | [Plugin] Monitoramento de áudio [assíncrono](https://www.bilibili.com/video/BV1AV4y187Uy/), segmentação automática de frases, detecção automática de momentos de resposta
+Exibição de fórmulas, imagens e tabelas | Exibição de fórmulas em formato tex e renderizadas simultaneamente, suporte a fórmulas e destaque de código
+⭐Plugin AutoGen para vários agentes | [Plugin] Explore a emergência de múltiplos agentes com o AutoGen da Microsoft!
+Ativar o tema escuro | Adicione ```/?__theme=dark``` ao final da URL para alternar para o tema escuro
+Suporte a múltiplos modelos LLM | Ser atendido simultaneamente pelo GPT3.5, GPT4, [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B) do Tsinghua University e [MOSS](https://github.com/OpenLMLab/MOSS) da Fudan University se sente incrível, não é mesmo?
+⭐Modelo de ajuste fino ChatGLM2 | Suporte para carregar o modelo ChatGLM2 ajustado e fornecer plugins de assistência ao ajuste fino do ChatGLM2
+Mais modelos LLM e suporte para [implantação pela HuggingFace](https://huggingface.co/spaces/qingxu98/gpt-academic) | Integração com a interface Newbing (Bing novo), introdução do [Jittorllms](https://github.com/Jittor/JittorLLMs) da Tsinghua University com suporte a [LLaMA](https://github.com/facebookresearch/llama) e [Panguα](https://openi.org.cn/pangu/)
+⭐Pacote pip [void-terminal](https://github.com/binary-husky/void-terminal) | Chame todas as funções plugins deste projeto diretamente em Python, sem a GUI (em desenvolvimento)
+⭐Plugin Terminal do Vácuo | [Plugin] Chame outros plugins deste projeto diretamente usando linguagem natural
+Apresentação de mais novas funcionalidades (geração de imagens, etc.) ... | Veja no final deste documento ...
+
+
+
+
+- Nova interface (altere a opção LAYOUT em `config.py` para alternar entre os "Layouts de lado a lado" e "Layout de cima para baixo")
+
+
+Функции (⭐= Недавно добавленные функции) | Описание
+--- | ---
+⭐[Подключение новой модели](https://github.com/binary-husky/gpt_academic/wiki/%E5%A6%82%E4%BD%95%E5%88%87%E6%8D%A2%E6%A8%A1%E5%9E%8B)！ | Baidu [QianFan](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu) и WenxinYiYan, [TongYiQianWen](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), Shanghai AI-Lab [ShuSheng](https://github.com/InternLM/InternLM), Xunfei [XingHuo](https://xinghuo.xfyun.cn/), [LLaMa2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), ZhiPu API, DALLE3
+Улучшение, перевод, объяснение кода | Одним нажатием выполнить поиск синтаксических ошибок в научных статьях, переводить, объяснять код
+[Настройка горячих клавиш](https://www.bilibili.com/video/BV14s4y1E7jN) | Поддержка настройки горячих клавиш
+Модульный дизайн | Поддержка настраиваемых мощных [плагинов](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions), плагины поддерживают [горячую замену](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
+[Профилирование кода](https://www.bilibili.com/video/BV1cj411A7VW) | [Плагин] Одним нажатием можно профилировать дерево проекта Python/C/C++/Java/Lua/... или [проанализировать самого себя](https://www.bilibili.com/video/BV1cj411A7VW)
+Просмотр статей, перевод статей | [Плагин] Одним нажатием прочитать полный текст статьи в формате LaTeX/PDF и сгенерировать аннотацию
+Перевод LaTeX статей, [улучшение](https://www.bilibili.com/video/BV1FT411H7c5/)| [Плагин] Одним нажатием перевести или улучшить статьи в формате LaTeX
+Генерация пакетного комментария | [Плагин] Одним нажатием сгенерировать многострочный комментарий к функции
+Перевод Markdown на английский и китайский | [Плагин] Вы видели документацию на сверху на пяти языках? [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md)`
+Анализ и создание отчета в формате чата | [Плагин] Автоматически генерируйте сводный отчет после выполнения
+Функция перевода полноценной PDF статьи | [Плагин] Изъять название и аннотацию статьи из PDF + переводить полный текст (многопоточно)
+[Arxiv помощник](https://www.bilibili.com/video/BV1LM4y1279X) | [Плагин] Просто введите URL статьи на arXiv, чтобы одним нажатием выполнить перевод аннотации + загрузить PDF
+Одним кликом проверить статью на LaTeX | [Плагин] Проверка грамматики и правописания статьи LaTeX, добавление PDF в качестве справки
+[Помощник Google Scholar](https://www.bilibili.com/video/BV19L411U7ia) | [Плагин] Создайте "related works" с помощью Google Scholar URL по вашему выбору.
+Агрегирование интернет-информации + GPT | [Плагин] [GPT получает информацию из интернета](https://www.bilibili.com/video/BV1om4y127ck) и отвечает на вопросы, чтобы информация никогда не устаревала
+⭐Точный перевод статей Arxiv ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [Плагин] [Переводите статьи Arxiv наивысшего качества](https://www.bilibili.com/video/BV1dz4y1v77A/) всего одним нажатием. Сейчас это лучший инструмент для перевода научных статей
+⭐[Реальное время ввода голосом](https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md) | [Плагин] Асинхронно [слушать аудио](https://www.bilibili.com/video/BV1AV4y187Uy/), автоматически разбивать на предложения, автоматически находить момент для ответа
+Отображение формул/изображений/таблиц | Поддержка отображения формул в форме [tex и рендеринга](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png), поддержка подсветки синтаксиса формул и кода
+⭐Плагин AutoGen для множества интеллектуальных агентов | [Плагин] Используйте Microsoft AutoGen для исследования возможностей интеллектуального всплытия нескольких агентов!
+Запуск [темной темы](https://github.com/binary-husky/gpt_academic/issues/173) | Добавьте `/?__theme=dark` в конец URL в браузере, чтобы переключиться на темную тему
+[Поддержка нескольких моделей LLM](https://www.bilibili.com/video/BV1wT411p7yf) | Быть обслуживаемым GPT3.5, GPT4, [ChatGLM2 из Цинхуа](https://github.com/THUDM/ChatGLM2-6B), [MOSS из Фуданя](https://github.com/OpenLMLab/MOSS) одновременно должно быть очень приятно, не так ли?
+⭐Модель ChatGLM2 Fine-tune | Поддержка загрузки модели ChatGLM2 Fine-tune, предоставляет вспомогательный плагин ChatGLM2 Fine-tune
+Больше моделей LLM, поддержка [развертывания huggingface](https://huggingface.co/spaces/qingxu98/gpt-academic) | Включение интерфейса Newbing (новый Bing), введение поддержки китайских [Jittorllms](https://github.com/Jittor/JittorLLMs) для поддержки [LLaMA](https://github.com/facebookresearch/llama) и [Panguα](https://openi.org.cn/pangu/)
+⭐Пакет pip [void-terminal](https://github.com/binary-husky/void-terminal) | Без GUI вызывайте все функциональные плагины этого проекта прямо из Python (разрабатывается)
+⭐Плагин пустого терминала | [Плагин] Используя естественный язык, напрямую распоряжайтесь другими плагинами этого проекта
+Больше новых функций (генерация изображений и т. д.) ... | Смотрите в конце этого документа ...
+
+
+
+- Новый интерфейс (изменение опции LAYOUT в `config.py` позволяет переключиться между "расположением слева и справа" и "расположением сверху и снизу")
+
-
-Funzione | Descrizione
---- | ---
-Correzione immediata | Supporta correzione immediata e ricerca degli errori di grammatica del documento con un solo clic
-Traduzione cinese-inglese immediata | Traduzione cinese-inglese immediata con un solo clic
-Spiegazione del codice immediata | Visualizzazione del codice, spiegazione del codice, generazione del codice, annotazione del codice con un solo clic
-[Scorciatoie personalizzate](https://www.bilibili.com/video/BV14s4y1E7jN) | Supporta scorciatoie personalizzate
-Design modularizzato | Supporta potenti [plugin di funzioni](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions) personalizzati, i plugin supportano l'[aggiornamento in tempo reale](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
-[Auto-profiling del programma](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin di funzioni] [Comprensione immediata](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) del codice sorgente di questo progetto
-[Analisi del programma](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin di funzioni] Un clic può analizzare l'albero di altri progetti Python/C/C++/Java/Lua/...
-Lettura del documento, [traduzione](https://www.bilibili.com/video/BV1KT411x7Wn) del documento | [Plugin di funzioni] La lettura immediata dell'intero documento latex/pdf di un documento e la generazione di un riassunto
-Traduzione completa di un documento Latex, [correzione immediata](https://www.bilibili.com/video/BV1FT411H7c5/) | [Plugin di funzioni] Una traduzione o correzione immediata di un documento Latex
-Generazione di annotazioni in batch | [Plugin di funzioni] Generazione automatica delle annotazioni di funzione con un solo clic
-[Traduzione cinese-inglese di Markdown](https://www.bilibili.com/video/BV1yo4y157jV/) | [Plugin di funzioni] Hai letto il [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) delle cinque lingue sopra?
-Generazione di report di analisi di chat | [Plugin di funzioni] Generazione automatica di un rapporto di sintesi dopo l'esecuzione
-[Funzione di traduzione di tutto il documento PDF](https://www.bilibili.com/video/BV1KT411x7Wn) | [Plugin di funzioni] Estrarre il titolo e il sommario dell'articolo PDF + tradurre l'intero testo (multithreading)
-[Assistente di Arxiv](https://www.bilibili.com/video/BV1LM4y1279X) | [Plugin di funzioni] Inserire l'URL dell'articolo di Arxiv e tradurre il sommario con un clic + scaricare il PDF
-[Assistente integrato di Google Scholar](https://www.bilibili.com/video/BV19L411U7ia) | [Plugin di funzioni] Con qualsiasi URL di pagina di ricerca di Google Scholar, lascia che GPT ti aiuti a scrivere il tuo [relatedworks](https://www.bilibili.com/video/BV1GP411U7Az/)
-Aggregazione delle informazioni su Internet + GPT | [Plugin di funzioni] Fai in modo che GPT rilevi le informazioni su Internet prima di rispondere alle domande, senza mai diventare obsolete
-Visualizzazione di formule/img/tabelle | È possibile visualizzare un'equazione in forma [tex e render](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png) contemporaneamente, supporta equazioni e evidenziazione del codice
-Supporto per plugin di funzioni multithreading | Supporto per chiamata multithreaded di chatgpt, elaborazione con un clic di grandi quantità di testo o di un programma
-Avvia il tema di gradio [scuro](https://github.com/binary-husky/gpt_academic/issues/173) | Aggiungere ```/?__theme=dark``` dopo l'URL del browser per passare a un tema scuro
-Supporto per maggiori modelli LLM, supporto API2D | Sentirsi serviti simultaneamente da GPT3.5, GPT4, [Tsinghua ChatGLM](https://github.com/THUDM/ChatGLM-6B), [Fudan MOSS](https://github.com/OpenLMLab/MOSS) deve essere una grande sensazione, giusto?
-Ulteriori modelli LLM supportat,i supporto per l'implementazione di Huggingface | Aggiunta di un'interfaccia Newbing (Nuovo Bing), introdotta la compatibilità con Tsinghua [Jittorllms](https://github.com/Jittor/JittorLLMs), [LLaMA](https://github.com/facebookresearch/llama), [RWKV](https://github.com/BlinkDL/ChatRWKV) e [PanGu-α](https://openi.org.cn/pangu/)
-Ulteriori dimostrazioni di nuove funzionalità (generazione di immagini, ecc.)... | Vedere la fine di questo documento...
-
-
-
-- Nuova interfaccia (modificare l'opzione LAYOUT in `config.py` per passare dal layout a sinistra e a destra al layout superiore e inferiore)
-
-
-기능 | 설명
---- | ---
-원 키워드 | 원 키워드 및 논문 문법 오류를 찾는 기능 지원
-한-영 키워드 | 한-영 키워드 지원
-코드 설명 | 코드 표시, 코드 설명, 코드 생성, 코드에 주석 추가
-[사용자 정의 바로 가기 키](https://www.bilibili.com/video/BV14s4y1E7jN) | 사용자 정의 바로 가기 키 지원
-모듈식 설계 | 강력한[함수 플러그인](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions) 지원, 플러그인이 [램 업데이트](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)를 지원합니다.
-[자체 프로그램 분석](https://www.bilibili.com/video/BV1cj411A7VW) | [함수 플러그인] [원 키 우드] 프로젝트 소스 코드의 내용을 이해하는 기능을 제공
-[프로그램 분석](https://www.bilibili.com/video/BV1cj411A7VW) | [함수 플러그인] 프로젝트 트리를 분석할 수 있습니다 (Python/C/C++/Java/Lua/...)
-논문 읽기, 번역 | [함수 플러그인] LaTex/PDF 논문의 전문을 읽고 요약을 생성합니다.
-LaTeX 텍스트[번역](https://www.bilibili.com/video/BV1nk4y1Y7Js/), [원 키워드](https://www.bilibili.com/video/BV1FT411H7c5/) | [함수 플러그인] LaTeX 논문의 번역 또는 개량을 위해 일련의 모드를 번역할 수 있습니다.
-대량의 주석 생성 | [함수 플러그인] 함수 코멘트를 대량으로 생성할 수 있습니다.
-Markdown 한-영 번역 | [함수 플러그인] 위의 5 종 언어의 [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md)를 볼 수 있습니다.
-chat 분석 보고서 생성 | [함수 플러그인] 수행 후 요약 보고서를 자동으로 생성합니다.
-[PDF 논문 번역](https://www.bilibili.com/video/BV1KT411x7Wn) | [함수 플러그인] PDF 논문이 제목 및 요약을 추출한 후 번역됩니다. (멀티 스레드)
-[Arxiv 도우미](https://www.bilibili.com/video/BV1LM4y1279X) | [함수 플러그인] Arxiv 논문 URL을 입력하면 요약을 번역하고 PDF를 다운로드 할 수 있습니다.
-[Google Scholar 통합 도우미](https://www.bilibili.com/video/BV19L411U7ia) | [함수 플러그인] Google Scholar 검색 페이지 URL을 제공하면 gpt가 [Related Works 작성](https://www.bilibili.com/video/BV1GP411U7Az/)을 도와줍니다.
-인터넷 정보 집계+GPT | [함수 플러그인] 먼저 GPT가 인터넷에서 정보를 수집하고 질문에 대답 할 수 있도록합니다. 정보가 절대적으로 구식이 아닙니다.
-수식/이미지/표 표시 | 급여, 코드 강조 기능 지원
-멀티 스레드 함수 플러그인 지원 | Chatgpt를 여러 요청에서 실행하여 [대량의 텍스트](https://www.bilibili.com/video/BV1FT411H7c5/) 또는 프로그램을 처리 할 수 있습니다.
-다크 그라디오 테마 시작 | 어둡게 주제를 변경하려면 브라우저 URL 끝에 ```/?__theme=dark```을 추가하면됩니다.
-[다중 LLM 모델](https://www.bilibili.com/video/BV1wT411p7yf) 지원, [API2D](https://api2d.com/) 인터페이스 지원됨 | GPT3.5, GPT4, [Tsinghua ChatGLM](https://github.com/THUDM/ChatGLM-6B), [Fudan MOSS](https://github.com/OpenLMLab/MOSS)가 모두 동시에 작동하는 것처럼 느낄 수 있습니다!
-LLM 모델 추가 및[huggingface 배치](https://huggingface.co/spaces/qingxu98/gpt-academic) 지원 | 새 Bing 인터페이스 (새 Bing) 추가, Clearing House [Jittorllms](https://github.com/Jittor/JittorLLMs) 지원 [LLaMA](https://github.com/facebookresearch/llama), [RWKV](https://github.com/BlinkDL/ChatRWKV) 및 [盘古α](https://openi.org.cn/pangu/)
-기타 새로운 기능 (이미지 생성 등) ... | 이 문서의 끝부분을 참조하세요. ...- 모든 버튼은 functional.py를 동적으로 읽어와서 사용자 정의 기능을 자유롭게 추가할 수 있으며, 클립 보드를 해제합니다.
-
-
-
-
-- 검수/오타 교정
-
-
-
-
-- 출력에 수식이 포함되어 있으면 텍스와 렌더링의 형태로 동시에 표시되어 복사 및 읽기가 용이합니다.
-
-
-
-
-- 프로젝트 코드를 볼 시간이 없습니까? 전체 프로젝트를 chatgpt에 직접 표시하십시오
-
-
-
-
-- 다양한 대형 언어 모델 범용 요청 (ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4)
-
-
-
-
----
-# 설치
-## Installation-Method 1: Run directly (Windows, Linux or MacOS)
-
-1. 프로젝트 다운로드
-```sh
-git clone https://github.com/binary-husky/gpt_academic.git
-cd gpt_academic
-```
-
-2. API_KEY 구성
-
-`config.py`에서 API KEY 등 설정을 구성합니다. [특별한 네트워크 환경 설정](https://github.com/binary-husky/gpt_academic/issues/1) .
-
-(P.S. 프로그램이 실행될 때, 이름이 `config_private.py`인 기밀 설정 파일이 있는지 우선적으로 확인하고 해당 설정으로 `config.py`의 동일한 이름의 설정을 덮어씁니다. 따라서 구성 읽기 논리를 이해할 수 있다면, `config.py` 옆에 `config_private.py`라는 새 구성 파일을 만들고 `config.py`의 구성을 `config_private.py`로 이동(복사)하는 것이 좋습니다. `config_private.py`는 git으로 관리되지 않으며 개인 정보를 더 안전하게 보호할 수 있습니다. P.S. 프로젝트는 또한 대부분의 옵션을 `환경 변수`를 통해 설정할 수 있으며, `docker-compose` 파일을 참조하여 환경 변수 작성 형식을 확인할 수 있습니다. 우선순위: `환경 변수` > `config_private.py` > `config.py`)
-
-
-3. 의존성 설치
-```sh
-# (I 선택: 기존 python 경험이 있다면) (python 버전 3.9 이상, 최신 버전이 좋습니다), 참고: 공식 pip 소스 또는 알리 pip 소스 사용, 일시적인 교체 방법: python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
-python -m pip install -r requirements.txt
-
-# (II 선택: Python에 익숙하지 않은 경우) anaconda 사용 방법은 비슷함(https://www.bilibili.com/video/BV1rc411W7Dr):
-conda create -n gptac_venv python=3.11 # anaconda 환경 만들기
-conda activate gptac_venv # anaconda 환경 활성화
-python -m pip install -r requirements.txt # 이 단계도 pip install의 단계와 동일합니다.
-```
-
-
추가지원을 위해 Tsinghua ChatGLM / Fudan MOSS를 사용해야하는 경우 지원을 클릭하여 이 부분을 확장하세요.
-
-
-[Tsinghua ChatGLM] / [Fudan MOSS]를 백엔드로 사용하려면 추가적인 종속성을 설치해야합니다 (전제 조건 : Python을 이해하고 Pytorch를 사용한 적이 있으며, 컴퓨터가 충분히 강력한 경우) :
-```sh
-# [선택 사항 I] Tsinghua ChatGLM을 지원합니다. Tsinghua ChatGLM에 대한 참고사항 : "Call ChatGLM fail cannot load ChatGLM parameters normally" 오류 발생시 다음 참조:
-# 1 : 기본 설치된 것들은 torch + cpu 버전입니다. cuda를 사용하려면 torch를 제거한 다음 torch + cuda를 다시 설치해야합니다.
-# 2 : 모델을 로드할 수 없는 기계 구성 때문에, AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)를
-# AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True)로 변경합니다.
-python -m pip install -r request_llms/requirements_chatglm.txt
-
-# [선택 사항 II] Fudan MOSS 지원
-python -m pip install -r request_llms/requirements_moss.txt
-git clone https://github.com/OpenLMLab/MOSS.git request_llms/moss # 다음 코드 줄을 실행할 때 프로젝트 루트 경로에 있어야합니다.
-
-# [선택 사항III] AVAIL_LLM_MODELS config.py 구성 파일에 기대하는 모델이 포함되어 있는지 확인하십시오.
-# 현재 지원되는 전체 모델 :
-AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing", "moss"] # + ["jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]
-```
-
-
-
-
-
-
-4. 실행
-```sh
-python main.py
-```5. 테스트 함수 플러그인
-```
-- 테스트 함수 플러그인 템플릿 함수 (GPT에게 오늘의 역사에서 무슨 일이 일어났는지 대답하도록 요청)를 구현하는 데 사용할 수 있습니다. 이 함수를 기반으로 더 복잡한 기능을 구현할 수 있습니다.
- "[함수 플러그인 템플릿 데모] 오늘의 역사"를 클릭하세요.
-```
-
-## 설치 - 방법 2 : 도커 사용
-
-1. ChatGPT 만 (대부분의 사람들이 선택하는 것을 권장합니다.)
-
-``` sh
-git clone https://github.com/binary-husky/gpt_academic.git # 다운로드
-cd gpt_academic # 경로 이동
-nano config.py # 아무 텍스트 에디터로 config.py를 열고 "Proxy","API_KEY","WEB_PORT" (예 : 50923) 등을 구성합니다.
-docker build -t gpt-academic . # 설치
-
-#(마지막 단계-1 선택) Linux 환경에서는 --net=host를 사용하면 더 편리합니다.
-docker run --rm -it --net=host gpt-academic
-#(마지막 단계-2 선택) macOS / windows 환경에서는 -p 옵션을 사용하여 컨테이너의 포트 (예 : 50923)를 호스트의 포트로 노출해야합니다.
-docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic
-```
-
-2. ChatGPT + ChatGLM + MOSS (Docker에 익숙해야합니다.)
-
-``` sh
-#docker-compose.yml을 수정하여 계획 1 및 계획 3을 삭제하고 계획 2를 유지합니다. docker-compose.yml에서 계획 2의 구성을 수정하면 됩니다. 주석을 참조하십시오.
-docker-compose up
-```
-
-3. ChatGPT + LLAMA + Pangu + RWKV (Docker에 익숙해야합니다.)
-``` sh
-#docker-compose.yml을 수정하여 계획 1 및 계획 2을 삭제하고 계획 3을 유지합니다. docker-compose.yml에서 계획 3의 구성을 수정하면 됩니다. 주석을 참조하십시오.
-docker-compose up
-```
-
-
-## 설치 - 방법 3 : 다른 배치 방법
-
-1. 리버스 프록시 URL / Microsoft Azure API 사용 방법
-API_URL_REDIRECT를 `config.py`에 따라 구성하면됩니다.
-
-2. 원격 클라우드 서버 배치 (클라우드 서버 지식과 경험이 필요합니다.)
-[배치위키-1](https://github.com/binary-husky/gpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)에 방문하십시오.
-
-3. WSL2 사용 (Windows Subsystem for Linux 하위 시스템)
-[배치 위키-2](https://github.com/binary-husky/gpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)에 방문하십시오.
-
-4. 2 차 URL (예 : `http : //localhost/subpath`)에서 실행하는 방법
-[FastAPI 실행 설명서] (docs / WithFastapi.md)를 참조하십시오.
-
-5. docker-compose 실행
-docker-compose.yml을 읽은 후 지시 사항에 따라 작업하십시오.
----
-# 고급 사용법
-## 사용자 정의 바로 가기 버튼 / 사용자 정의 함수 플러그인
-
-1. 사용자 정의 바로 가기 버튼 (학술 바로 가기)
-임의의 텍스트 편집기로 'core_functional.py'를 엽니다. 엔트리 추가, 그런 다음 프로그램을 다시 시작하면됩니다. (버튼이 이미 추가되어 보이고 접두사, 접미사가 모두 변수가 효과적으로 수정되면 프로그램을 다시 시작하지 않아도됩니다.)
-예 :
-```
-"超级英译中": {
- # 접두사. 당신이 요구하는 것을 설명하는 데 사용됩니다. 예를 들어 번역, 코드를 설명, 다듬기 등
- "Prefix": "下面翻译成中文，然后用一个 markdown 表格逐一解释文中出现的专有名词：\n\n",
-
- # 접미사는 입력 내용 앞뒤에 추가됩니다. 예를 들어 전위를 사용하여 입력 내용을 따옴표로 묶는데 사용할 수 있습니다.
- "Suffix": "",
-},
-```
-
-
-
-
-2. 사용자 지정 함수 플러그인
-강력한 함수 플러그인을 작성하여 원하는 작업을 수행하십시오.
-이 프로젝트의 플러그인 작성 및 디버깅 난이도는 매우 낮으며, 일부 파이썬 기본 지식만 있으면 제공된 템플릿을 모방하여 플러그인 기능을 구현할 수 있습니다. 자세한 내용은 [함수 플러그인 가이드]를 참조하십시오. (https://github.com/binary -husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E 4%BB%B6%E6%8C%87%E5%8D%97).
----
-# 최신 업데이트
-## 새로운 기능 동향1. 대화 저장 기능.
-
-1. 함수 플러그인 영역에서 '현재 대화 저장'을 호출하면 현재 대화를 읽을 수 있고 복원 가능한 HTML 파일로 저장할 수 있습니다. 또한 함수 플러그인 영역(드롭다운 메뉴)에서 '대화 기록 불러오기'를 호출하면 이전 대화를 복원할 수 있습니다. 팁: 파일을 지정하지 않고 '대화 기록 불러오기'를 클릭하면 기록된 HTML 캐시를 볼 수 있으며 '모든 로컬 대화 기록 삭제'를 클릭하면 모든 HTML 캐시를 삭제할 수 있습니다.
-
-2. 보고서 생성. 대부분의 플러그인은 실행이 끝난 후 작업 보고서를 생성합니다.
-
-3. 모듈화 기능 설계, 간단한 인터페이스로도 강력한 기능을 지원할 수 있습니다.
-
-4. 자체 번역이 가능한 오픈 소스 프로젝트입니다.
-
-5. 다른 오픈 소스 프로젝트를 번역하는 것은 어렵지 않습니다.
-
-6. [live2d](https://github.com/fghrsh/live2d_demo) 장식 기능(기본적으로 비활성화되어 있으며 `config.py`를 수정해야 합니다.)
-
-7. MOSS 대 언어 모델 지원 추가
-
-8. OpenAI 이미지 생성
-
-9. OpenAI 음성 분석 및 요약
-
-10. LaTeX 전체적인 교정 및 오류 수정
-
-## 버전:
-- version 3.5 (TODO): 자연어를 사용하여 이 프로젝트의 모든 함수 플러그인을 호출하는 기능(우선순위 높음)
-- version 3.4(TODO): 로컬 대 모듈의 다중 스레드 지원 향상
-- version 3.3: 인터넷 정보 종합 기능 추가
-- version 3.2: 함수 플러그인이 더 많은 인수 인터페이스를 지원합니다.(대화 저장 기능, 임의의 언어 코드 해석 및 동시에 임의의 LLM 조합을 확인하는 기능)
-- version 3.1: 여러 개의 GPT 모델에 대한 동시 쿼리 지원! api2d 지원, 여러 개의 apikey 로드 밸런싱 지원
-- version 3.0: chatglm 및 기타 소형 llm의 지원
-- version 2.6: 플러그인 구조를 재구성하여 상호 작용성을 향상시켰습니다. 더 많은 플러그인을 추가했습니다.
-- version 2.5: 자체 업데이트, 전체 프로젝트를 요약할 때 텍스트가 너무 길어지고 토큰이 오버플로우되는 문제를 해결했습니다.
-- version 2.4: (1) PDF 전체 번역 기능 추가; (2) 입력 영역 위치 전환 기능 추가; (3) 수직 레이아웃 옵션 추가; (4) 다중 스레드 함수 플러그인 최적화.
-- version 2.3: 다중 스레드 상호 작용성 강화
-- version 2.2: 함수 플러그인 히트 리로드 지원
-- version 2.1: 접는 레이아웃 지원
-- version 2.0: 모듈화 함수 플러그인 도입
-- version 1.0: 기본 기능
-
-gpt_academic 개발자 QQ 그룹-2 : 610599535
-
-- 알려진 문제
- - 일부 브라우저 번역 플러그인이이 소프트웨어의 프론트 엔드 작동 방식을 방해합니다.
- - gradio 버전이 너무 높거나 낮으면 여러 가지 이상이 발생할 수 있습니다.
-
-## 참고 및 학습 자료
-
-```
-많은 우수 프로젝트의 디자인을 참고했습니다. 주요 항목은 다음과 같습니다.
-
-# 프로젝트 1 : Tsinghua ChatGLM-6B :
-https://github.com/THUDM/ChatGLM-6B
-
-# 프로젝트 2 : Tsinghua JittorLLMs:
-https://github.com/Jittor/JittorLLMs
-
-# 프로젝트 3 : Edge-GPT :
-https://github.com/acheong08/EdgeGPT
-
-# 프로젝트 4 : ChuanhuChatGPT:
-https://github.com/GaiZhenbiao/ChuanhuChatGPT
-
-# 프로젝트 5 : ChatPaper :
-https://github.com/kaixindelele/ChatPaper
-
-# 더 많은 :
-https://github.com/gradio-app/gradio
-https://github.com/fghrsh/live2d_demo
-```
diff --git a/docs/README.md.Portuguese.md b/docs/README.md.Portuguese.md
deleted file mode 100644
index 4a3aba0..0000000
--- a/docs/README.md.Portuguese.md
+++ /dev/null
@@ -1,324 +0,0 @@
-> **Nota**
->
-> Ao instalar as dependências, por favor, selecione rigorosamente as versões **especificadas** no arquivo requirements.txt.
->
-> `pip install -r requirements.txt`
->
-
-#
Otimização acadêmica GPT (GPT Academic)
-
-**Se você gostou deste projeto, por favor dê um Star. Se você criou atalhos acadêmicos mais úteis ou plugins funcionais, sinta-se livre para abrir uma issue ou pull request. Nós também temos um README em [Inglês|](README_EN.md)[日本語|](README_JP.md)[한국어|](https://github.com/mldljyh/ko_gpt_academic)[Русский|](README_RS.md)[Français](README_FR.md) traduzidos por este próprio projeto.
-Para traduzir este projeto para qualquer idioma com o GPT, leia e execute [`multi_language.py`](multi_language.py) (experimental).
-
-> **Nota**
->
-> 1. Por favor, preste atenção que somente os plugins de funções (botões) com a cor **vermelha** podem ler arquivos. Alguns plugins estão localizados no **menu suspenso** na área de plugins. Além disso, nós damos as boas-vindas com a **maior prioridade** e gerenciamos quaisquer novos plugins PR!
->
-> 2. As funções de cada arquivo neste projeto são detalhadas em [`self_analysis.md`](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A), auto-análises do projeto geradas pelo GPT também estão podem ser chamadas a qualquer momento ao clicar nos plugins relacionados. As perguntas frequentes estão resumidas no [`wiki`](https://github.com/binary-husky/gpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98). [Instruções de Instalação](#installation).
->
-> 3. Este projeto é compatível com e incentiva o uso de modelos de linguagem nacionais, como chatglm e RWKV, Pangolin, etc. Suporta a coexistência de várias chaves de API e pode ser preenchido no arquivo de configuração como `API_KEY="openai-key1,openai-key2,api2d-key3"`. Quando precisar alterar temporariamente o `API_KEY`, basta digitar o `API_KEY` temporário na área de entrada e pressionar Enter para que ele entre em vigor.
-
-
-
-Funcionalidade | Descrição
---- | ---
-Um clique de polimento | Suporte a um clique polimento, um clique encontrar erros de gramática no artigo
-Tradução chinês-inglês de um clique | Tradução chinês-inglês de um clique
-Explicação de código de um único clique | Exibir código, explicar código, gerar código, adicionar comentários ao código
-[Teclas de atalho personalizadas](https://www.bilibili.com/video/BV14s4y1E7jN) | Suporte a atalhos personalizados
-Projeto modular | Suporte para poderosos plugins[de função personalizada](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions), os plugins suportam[hot-reload](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
-[Análise automática do programa](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin de função][um clique para entender](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) o código-fonte do projeto
-[Análise do programa](https://www.bilibili.com/video/BV1cj411A7VW) | [Plugin de função] Um clique pode analisar a árvore de projetos do Python/C/C++/Java/Lua/...
-Leitura de artigos, [tradução](https://www.bilibili.com/video/BV1KT411x7Wn) de artigos | [Plugin de função] um clique para interpretar o resumo de artigos LaTeX/PDF e gerar resumo
-Tradução completa LATEX, polimento|[Plugin de função] Uma clique para traduzir ou polir um artigo LATEX
-Geração em lote de comentários | [Plugin de função] Um clique gera comentários de função em lote
-[Tradução chinês-inglês](https://www.bilibili.com/video/BV1yo4y157jV/) markdown | [Plugin de função] Você viu o README em 5 linguagens acima?
-Relatório de análise de chat | [Plugin de função] Gera automaticamente um resumo após a execução
-[Funcionalidade de tradução de artigos completos em PDF](https://www.bilibili.com/video/BV1KT411x7Wn) | [Plugin de função] Extrai o título e o resumo do artigo PDF e traduz o artigo completo (multithread)
-Assistente arXiv | [Plugin de função] Insira o url do artigo arXiv para traduzir o resumo + baixar PDF
-Assistente de integração acadêmica do Google | [Plugin de função] Dê qualquer URL de página de pesquisa acadêmica do Google e deixe o GPT escrever[trabalhos relacionados](https://www.bilibili.com/video/BV1GP411U7Az/)
-Agregação de informações da Internet + GPT | [Plugin de função] Um clique para obter informações do GPT através da Internet e depois responde a perguntas para informações nunca ficarem desatualizadas
-Exibição de fórmulas/imagem/tabela | Pode exibir simultaneamente a forma de renderização e[TEX] das fórmulas, suporte a fórmulas e realce de código
-Suporte de plugins de várias linhas | Suporte a várias chamadas em linha do chatgpt, um clique para processamento[de massa de texto](https://www.bilibili.com/video/BV1FT411H7c5/) ou programa
-Tema gradio escuro | Adicione ``` /?__theme=dark``` ao final da url do navegador para ativar o tema escuro
-[Suporte para vários modelos LLM](https://www.bilibili.com/video/BV1wT411p7yf), suporte para a nova interface API2D | A sensação de ser atendido simultaneamente por GPT3.5, GPT4, [Chatglm THU](https://github.com/THUDM/ChatGLM-6B), [Moss Fudan](https://github.com/OpenLMLab/MOSS) deve ser ótima, certo?
-Mais modelos LLM incorporados, suporte para a implantação[huggingface](https://huggingface.co/spaces/qingxu98/gpt-academic) | Adicione interface Newbing (New Bing), suporte [JittorLLMs](https://github.com/Jittor/JittorLLMs) THU Introdução ao suporte do LLaMA, RWKV e Pan Gu Alpha
-Mais recursos novos mostrados (geração de imagens, etc.) ... | Consulte o final deste documento ...
-
-
-
-- Nova interface (Modifique a opção LAYOUT em `config.py` para alternar entre o layout esquerdo/direito e o layout superior/inferior)
-
-
-
- All buttons are dynamically generated by reading functional.py, and you can add custom functions at will, liberating the clipboard
-
-
-
-
-
-- Proofreading/errors correction
-
-
-
-
-
-
-- If the output contains formulas, it will be displayed in both tex and rendering format at the same time, which is convenient for copying and reading
-
-
-
-
-
-
-- Don't want to read the project code? Just show the whole project to chatgpt
-
-
-
-
-
-
-- Mix the use of multiple large language models (ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4)
-
-
-
-
-
-
----
-# Instalação
-## Installation-Method 1: Run directly (Windows, Linux or MacOS)
-
-1. Download the project
-
-```sh
-git clone https://github.com/binary-husky/gpt_academic.git
-cd gpt_academic
-```
-
-2. Configure the API KEY
-
-In `config.py`, configure API KEY and other settings, [Special Network Environment Settings] (https://github.com/binary-husky/gpt_academic/issues/1).
-
-(P.S. When the program runs, it will first check whether there is a private configuration file named `config_private.py`, and use the configuration in it to cover the configuration with the same name in `config.py`. Therefore, if you can understand our configuration reading logic, we strongly recommend that you create a new configuration file named `config_private.py` next to `config.py`, and transfer (copy) the configuration in `config.py` to `config_private.py`. `config_private.py` is not controlled by git and can make your privacy information more secure. P.S. The project also supports configuring most options through `environment variables`. The writing format of environment variables is referenced to the `docker-compose` file. Reading priority: `environment variable` > `config_private.py` > `config.py`)
-
-
-3. Install dependencies
-
-```sh
-# (Option I: for those familiar with python)(python version is 3.9 or above, the newer the better), note: use the official pip source or the Alibaba pip source. Temporary solution for changing source: python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
-python -m pip install -r requirements.txt
-
-# (Option II: for those who are unfamiliar with python) use anaconda, the steps are also similar (https://www.bilibili.com/video/BV1rc411W7Dr):
-conda create -n gptac_venv python=3.11 # create anaconda environment
-conda activate gptac_venv # activate anaconda environment
-python -m pip install -r requirements.txt # This step is the same as the pip installation step
-```
-
-
If you need to support Tsinghua ChatGLM / Fudan MOSS as the backend, click to expand here
-
-
-[Optional Step] If you need to support Tsinghua ChatGLM / Fudan MOSS as the backend, you need to install more dependencies (prerequisite: familiar with Python + used Pytorch + computer configuration is strong):
-```sh
-# 【Optional Step I】support Tsinghua ChatGLM。Tsinghua ChatGLM Note: If you encounter a "Call ChatGLM fails cannot load ChatGLM parameters normally" error, refer to the following: 1: The default installed is torch+cpu version, and using cuda requires uninstalling torch and reinstalling torch+cuda; 2: If the model cannot be loaded due to insufficient computer configuration, you can modify the model accuracy in request_llms/bridge_chatglm.py and change AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) to AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True)
-python -m pip install -r request_llms/requirements_chatglm.txt
-
-# 【Optional Step II】support Fudan MOSS
-python -m pip install -r request_llms/requirements_moss.txt
-git clone https://github.com/OpenLMLab/MOSS.git request_llms/moss # Note: When executing this line of code, you must be in the project root path
-
-# 【Optional Step III】Make sure that the AVAIL_LLM_MODELS in the config.py configuration file contains the expected model. Currently, all supported models are as follows (jittorllms series currently only supports docker solutions):
-AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing", "moss"] # + ["jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]
-```
-
-
-
-
-
-4. Run
-
-```sh
-python main.py
-```5. Plugin de Função de Teste
-```
-- Função de modelo de plug-in de teste (exige que o GPT responda ao que aconteceu hoje na história), você pode usar esta função como modelo para implementar funções mais complexas
- Clique em "[Função de plug-in de modelo de demonstração] O que aconteceu hoje na história?"
-```
-
-## Instalação - Método 2: Usando o Docker
-
-1. Apenas ChatGPT (recomendado para a maioria das pessoas)
-
-``` sh
-git clone https://github.com/binary-husky/gpt_academic.git # Baixar o projeto
-cd gpt_academic # Entrar no caminho
-nano config.py # Editar config.py com qualquer editor de texto configurando "Proxy", "API_KEY" e "WEB_PORT" (por exemplo, 50923), etc.
-docker build -t gpt-academic . # Instale
-
-# (Ùltima etapa - escolha 1) Dentro do ambiente Linux, é mais fácil e rápido usar `--net=host`
-docker run --rm -it --net=host gpt-academic
-# (Última etapa - escolha 2) Em ambientes macOS/windows, você só pode usar a opção -p para expor a porta do contêiner (por exemplo, 50923) para a porta no host
-docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic
-```
-
-2. ChatGPT + ChatGLM + MOSS (conhecimento de Docker necessário)
-
-``` sh
-# Edite o arquivo docker-compose.yml, remova as soluções 1 e 3, mantenha a solução 2, e siga as instruções nos comentários do arquivo
-docker-compose up
-```
-
-3. ChatGPT + LLAMA + Pangu + RWKV (conhecimento de Docker necessário)
-``` sh
-# Edite o arquivo docker-compose.yml, remova as soluções 1 e 2, mantenha a solução 3, e siga as instruções nos comentários do arquivo
-docker-compose up
-```
-
-
-## Instalação - Método 3: Outros Métodos de Implantação
-
-1. Como usar URLs de proxy inverso/microsoft Azure API
-Basta configurar o API_URL_REDIRECT de acordo com as instruções em `config.py`.
-
-2. Implantação em servidores em nuvem remotos (requer conhecimento e experiência de servidores em nuvem)
-Acesse [Wiki de implementação remota do servidor em nuvem](https://github.com/binary-husky/gpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
-
-3. Usando a WSL2 (sub-sistema do Windows para Linux)
-Acesse [Wiki da implantação da WSL2](https://github.com/binary-husky/gpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)
-
-4. Como executar em um subdiretório (ex. `http://localhost/subpath`)
-Acesse [Instruções de execução FastAPI](docs/WithFastapi.md)
-
-5. Execute usando o docker-compose
-Leia o arquivo docker-compose.yml e siga as instruções.
-
-# Uso Avançado
-## Customize novos botões de acesso rápido / plug-ins de função personalizados
-
-1. Personalizar novos botões de acesso rápido (atalhos acadêmicos)
-Abra `core_functional.py` em qualquer editor de texto e adicione os seguintes itens e reinicie o programa (Se o botão já foi adicionado e pode ser visto, prefixos e sufixos são compatíveis com modificações em tempo real e não exigem reinício do programa para ter efeito.)
-Por exemplo,
-```
-"Super Eng:": {
- # Prefixo, será adicionado antes da sua entrada. Por exemplo, para descrever sua solicitação, como tradução, explicação de código, polimento, etc.
- "Prefix": "Por favor, traduza o seguinte conteúdo para chinês e use uma tabela em Markdown para explicar termos próprios no texto: \n \n",
-
- # Sufixo, será adicionado após a sua entrada. Por exemplo, emparelhado com o prefixo, pode colocar sua entrada entre aspas.
- "Suffix": "",
-},
-```
-
-
-
-
-2. Personalizar plug-ins de função
-
-Escreva plug-ins de função poderosos para executar tarefas que você deseja e não pensava possível.
-A dificuldade geral de escrever e depurar plug-ins neste projeto é baixa e, se você tem algum conhecimento básico de python, pode implementar suas próprias funções sobre o modelo que fornecemos.
-Para mais detalhes, consulte o [Guia do plug-in de função.](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97).
-
----
-# Última atualização
-## Novas funções dinâmicas.
-
-1. Função de salvamento de diálogo. Ao chamar o plug-in de função "Salvar diálogo atual", é possível salvar o diálogo atual em um arquivo html legível e reversível. Além disso, ao chamar o plug-in de função "Carregar arquivo de histórico de diálogo" no menu suspenso da área de plug-in, é possível restaurar uma conversa anterior. Dica: clicar em "Carregar arquivo de histórico de diálogo" sem especificar um arquivo permite visualizar o cache do arquivo html de histórico. Clicar em "Excluir todo o registro de histórico de diálogo local" permite excluir todo o cache de arquivo html.
-
-
-
-
-
-2. Geração de relatório. A maioria dos plug-ins gera um relatório de trabalho após a conclusão da execução.
-
-
-3. Design modular de funcionalidades, com interfaces simples, mas suporte a recursos poderosos
-
-
-
-
-
-4. Este é um projeto de código aberto que é capaz de "auto-traduzir-se".
-
-
-
-
-5. A tradução de outros projetos de código aberto é simples.
-
-
-
-
-
-
-
-
-6. Recursos decorativos para o [live2d](https://github.com/fghrsh/live2d_demo) (desativados por padrão, é necessário modificar o arquivo `config.py`)
-
-
-
-
-7. Suporte ao modelo de linguagem MOSS
-
-
-
-
-8. Geração de imagens pelo OpenAI
-
-
-
-
-9. Análise e resumo de áudio pelo OpenAI
-
-
-
-
-10. Revisão e correção de erros de texto em Latex.
-
-
-
-
-## Versão:
-- Versão 3.5(Todo): Usar linguagem natural para chamar todas as funções do projeto (prioridade alta)
-- Versão 3.4(Todo): Melhorar o suporte à multithread para o chatglm local
-- Versão 3.3: +Funções integradas de internet
-- Versão 3.2: Suporte a mais interfaces de parâmetros de plug-in (função de salvar diálogo, interpretação de códigos de várias linguagens, perguntas de combinações LLM arbitrárias ao mesmo tempo)
-- Versão 3.1: Suporte a perguntas a vários modelos de gpt simultaneamente! Suporte para api2d e balanceamento de carga para várias chaves api
-- Versão 3.0: Suporte ao chatglm e outros LLMs de pequeno porte
-- Versão 2.6: Refatoração da estrutura de plug-in, melhoria da interatividade e adição de mais plug-ins
-- Versão 2.5: Autoatualização, resolvendo problemas de token de texto excessivamente longo e estouro ao compilar grandes projetos
-- Versão 2.4: (1) Adição de funcionalidade de tradução de texto completo em PDF; (2) Adição de funcionalidade de mudança de posição da área de entrada; (3) Adição de opção de layout vertical; (4) Otimização de plug-ins de multithread.
-- Versão 2.3: Melhoria da interatividade de multithread
-- Versão 2.2: Suporte à recarga a quente de plug-ins
-- Versão 2.1: Layout dobrável
-- Versão 2.0: Introdução de plug-ins de função modular
-- Versão 1.0: Funcionalidades básicasgpt_academic desenvolvedores QQ grupo-2: 610599535
-
-- Problemas conhecidos
- - Extensões de tradução de alguns navegadores podem interferir na execução do front-end deste software
- - Uma versão muito alta ou muito baixa do Gradio pode causar vários erros
-
-## Referências e Aprendizado
-
-```
-Foi feita referência a muitos projetos excelentes em código, principalmente:
-
-# Projeto1: ChatGLM-6B da Tsinghua:
-https://github.com/THUDM/ChatGLM-6B
-
-# Projeto2: JittorLLMs da Tsinghua:
-https://github.com/Jittor/JittorLLMs
-
-# Projeto3: Edge-GPT:
-https://github.com/acheong08/EdgeGPT
-
-# Projeto4: ChuanhuChatGPT:
-https://github.com/GaiZhenbiao/ChuanhuChatGPT
-
-# Projeto5: ChatPaper:
-https://github.com/kaixindelele/ChatPaper
-
-# Mais:
-https://github.com/gradio-app/gradio
-https://github.com/fghrsh/live2d_demo
-```
diff --git a/docs/README_EN.md b/docs/README_EN.md
deleted file mode 100644
index 029186c..0000000
--- a/docs/README_EN.md
+++ /dev/null
@@ -1,322 +0,0 @@
-> **Note**
->
-> This English README is automatically generated by the markdown translation plugin in this project, and may not be 100% correct.
->
-> When installing dependencies, **please strictly select the versions** specified in requirements.txt.
->
-> `pip install -r requirements.txt`
-
-# GPT Academic Optimization (GPT Academic)
-
-**If you like this project, please give it a Star. If you've come up with more useful academic shortcuts or functional plugins, feel free to open an issue or pull request.
-To translate this project to arbitary language with GPT, read and run [`multi_language.py`](multi_language.py) (experimental).**
-
-> Note:
->
-> 1. Please note that only the function plugins (buttons) marked in **red** support reading files. Some plugins are in the **drop-down menu** in the plugin area. We welcome and process any new plugins with the **highest priority**!
-> 2. The function of each file in this project is detailed in the self-translation analysis [`self_analysis.md`](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A). With version iteration, you can also click on related function plugins at any time to call GPT to regenerate the project's self-analysis report. Common questions are summarized in the [`wiki`](https://github.com/binary-husky/gpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98). [Installation method](#installation).
-> 3. This project is compatible with and encourages trying domestic large language models such as chatglm, RWKV, Pangu, etc. Multiple API keys are supported and can be filled in the configuration file like `API_KEY="openai-key1,openai-key2,api2d-key3"`. When temporarily changing `API_KEY`, enter the temporary `API_KEY` in the input area and press enter to submit, which will take effect.
-
-
-
-Function | Description
---- | ---
-One-click polishing | Supports one-click polishing and one-click searching for grammar errors in papers.
-One-click Chinese-English translation | One-click Chinese-English translation.
-One-click code interpretation | Displays, explains, generates, and adds comments to code.
-[Custom shortcut keys](https://www.bilibili.com/video/BV14s4y1E7jN) | Supports custom shortcut keys.
-Modular design | Supports custom powerful [function plug-ins](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions), plug-ins support [hot update](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97).
-[Self-program profiling](https://www.bilibili.com/video/BV1cj411A7VW) | [Function plug-in] [One-click understanding](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) of the source code of this project
-[Program profiling](https://www.bilibili.com/video/BV1cj411A7VW) | [Function plug-in] One-click profiling of other project trees in Python/C/C++/Java/Lua/...
-Reading papers, [translating](https://www.bilibili.com/video/BV1KT411x7Wn) papers | [Function Plug-in] One-click interpretation of latex/pdf full-text papers and generation of abstracts.
-Latex full-text [translation](https://www.bilibili.com/video/BV1nk4y1Y7Js/), [polishing](https://www.bilibili.com/video/BV1FT411H7c5/) | [Function plug-in] One-click translation or polishing of latex papers.
-Batch annotation generation | [Function plug-in] One-click batch generation of function annotations.
-Markdown [Chinese-English translation](https://www.bilibili.com/video/BV1yo4y157jV/) | [Function plug-in] Have you seen the [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) in the five languages above?
-Chat analysis report generation | [Function plug-in] Automatically generate summary reports after running.
-[PDF full-text translation function](https://www.bilibili.com/video/BV1KT411x7Wn) | [Function plug-in] PDF paper extract title & summary + translate full text (multi-threaded)
-[Arxiv Assistant](https://www.bilibili.com/video/BV1LM4y1279X) | [Function plug-in] Enter the arxiv article url and you can translate abstracts and download PDFs with one click.
-[Google Scholar Integration Assistant](https://www.bilibili.com/video/BV19L411U7ia) | [Function plug-in] Given any Google Scholar search page URL, let GPT help you [write relatedworks](https://www.bilibili.com/video/BV1GP411U7Az/)
-Internet information aggregation+GPT | [Function plug-in] One-click [let GPT get information from the Internet first](https://www.bilibili.com/video/BV1om4y127ck), then answer questions, and let the information never be outdated.
-Formula/image/table display | Can display formulas in both [tex form and render form](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png), support formulas and code highlighting.
-Multi-threaded function plug-in support | Supports multi-threaded calling of chatgpt, and can process [massive text](https://www.bilibili.com/video/BV1FT411H7c5/) or programs with one click.
-Start Dark Gradio [theme](https://github.com/binary-husky/gpt_academic/issues/173) | Add ```/?__theme=dark``` after the browser URL to switch to the dark theme.
-[Multiple LLM models](https://www.bilibili.com/video/BV1wT411p7yf) support, [API2D](https://api2d.com/) interface support | The feeling of being served by GPT3.5, GPT4, [Tsinghua ChatGLM](https://github.com/THUDM/ChatGLM-6B), and [Fudan MOSS](https://github.com/OpenLMLab/MOSS) at the same time must be great, right?
-More LLM model access, support [huggingface deployment](https://huggingface.co/spaces/qingxu98/gpt-academic) | Add Newbing interface (New Bing), introduce Tsinghua [Jittorllms](https://github.com/Jittor/JittorLLMs) to support [LLaMA](https://github.com/facebookresearch/llama), [RWKV](https://github.com/BlinkDL/ChatRWKV) and [Panguα](https://openi.org.cn/pangu/)
-More new feature displays (image generation, etc.)…… | See the end of this document for more...
-
-
-- New interface (modify the LAYOUT option in `config.py` to switch between "left and right layout" and "up and down layout")
-
-
-
- All buttons are dynamically generated by reading `functional.py`, and you can add custom functions freely to unleash the power of clipboard.
-
-
-
-
-- polishing/correction
-
-
-
-
-- If the output contains formulas, they will be displayed in both `tex` and render form, making it easy to copy and read.
-
-
-
-
-- Tired of reading the project code? ChatGPT can explain it all.
-
-
-
-
-- Multiple large language models are mixed, such as ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4.
-
-
-
-
----
-# Installation
-## Method 1: Directly running (Windows, Linux or MacOS)
-
-1. Download the project
-```sh
-git clone https://github.com/binary-husky/gpt_academic.git
-cd gpt_academic
-```
-
-2. Configure the API_KEY
-
-Configure the API KEY in `config.py`, [special network environment settings](https://github.com/binary-husky/gpt_academic/issues/1).
-
-(P.S. When the program is running, it will first check if there is a private configuration file named `config_private.py` and use the configurations in it to override the same configurations in `config.py`. Therefore, if you can understand our configuration reading logic, we strongly recommend that you create a new configuration file named `config_private.py` next to `config.py` and transfer (copy) the configurations in `config.py` to `config_private.py`. `config_private.py` is not controlled by git and can make your private information more secure. P.S. The project also supports configuring most options through `environment variables`. Please refer to the format of `docker-compose` file when writing. Reading priority: `environment variables` > `config_private.py` > `config.py`)
-
-
-3. Install the dependencies
-```sh
-# (Option I: If familiar with python) (python version 3.9 or above, the newer the better), note: use official pip source or Ali pip source, temporary switching method: python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
-python -m pip install -r requirements.txt
-
-# (Option II: If not familiar with python) Use anaconda, the steps are similar (https://www.bilibili.com/video/BV1rc411W7Dr):
-conda create -n gptac_venv python=3.11 # create anaconda environment
-conda activate gptac_venv # activate anaconda environment
-python -m pip install -r requirements.txt # this step is the same as pip installation
-```
-
-
If you need to support Tsinghua ChatGLM/Fudan MOSS as a backend, click to expand
-
-
-[Optional step] If you need to support Tsinghua ChatGLM/Fudan MOSS as a backend, you need to install more dependencies (prerequisites: familiar with Python + used Pytorch + computer configuration is strong enough):
-```sh
-# [Optional Step I] Support Tsinghua ChatGLM. Tsinghua ChatGLM remarks: if you encounter the "Call ChatGLM fail cannot load ChatGLM parameters" error, refer to this: 1: The default installation above is torch + cpu version, to use cuda, you need to uninstall torch and reinstall torch + cuda; 2: If the model cannot be loaded due to insufficient local configuration, you can modify the model accuracy in request_llms/bridge_chatglm.py, and change AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) to AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code = True)
-python -m pip install -r request_llms/requirements_chatglm.txt
-
-# [Optional Step II] Support Fudan MOSS
-python -m pip install -r request_llms/requirements_moss.txt
-git clone https://github.com/OpenLMLab/MOSS.git request_llms/moss # When executing this line of code, you must be in the root directory of the project
-
-# [Optional Step III] Make sure the AVAIL_LLM_MODELS in the config.py configuration file includes the expected models. Currently supported models are as follows (the jittorllms series only supports the docker solution for the time being):
-AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing", "moss"] # + ["jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]
-```
-
-
-
-
-
-
-4. Run it
-```sh
-python main.py
-```5. Test Function Plugin
-```
-- Test function plugin template function (ask GPT what happened today in history), based on which you can implement more complex functions as a template
- Click "[Function Plugin Template Demo] Today in History"
-```
-
-## Installation - Method 2: Using Docker
-
-1. ChatGPT Only (Recommended for Most People)
-
-``` sh
-git clone https://github.com/binary-husky/gpt_academic.git # Download project
-cd gpt_academic # Enter path
-nano config.py # Edit config.py with any text editor, configure "Proxy", "API_KEY" and "WEB_PORT" (e.g. 50923), etc.
-docker build -t gpt-academic . # Install
-
-#(Last step - option 1) In a Linux environment, use `--net=host` for convenience and speed.
-docker run --rm -it --net=host gpt-academic
-#(Last step - option 2) On macOS/windows environment, only -p option can be used to expose the container's port (e.g. 50923) to the port of the main machine.
-docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic
-```
-
-2. ChatGPT + ChatGLM + MOSS (Requires Docker Knowledge)
-
-``` sh
-# Modify docker-compose.yml, delete Plan 1 and Plan 3, and keep Plan 2. Modify the configuration of Plan 2 in docker-compose.yml, refer to the comments in it for configuration.
-docker-compose up
-```
-
-3. ChatGPT + LLAMA + Pangu + RWKV (Requires Docker Knowledge)
-
-``` sh
-# Modify docker-compose.yml, delete Plan 1 and Plan 2, and keep Plan 3. Modify the configuration of Plan 3 in docker-compose.yml, refer to the comments in it for configuration.
-docker-compose up
-```
-
-## Installation - Method 3: Other Deployment Options
-
-1. How to Use Reverse Proxy URL/Microsoft Cloud Azure API
-Configure API_URL_REDIRECT according to the instructions in 'config.py'.
-
-2. Deploy to a Remote Server (Requires Knowledge and Experience with Cloud Servers)
-Please visit [Deployment Wiki-1](https://github.com/binary-husky/gpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
-
-3. Using WSL2 (Windows Subsystem for Linux)
-Please visit [Deployment Wiki-2](https://github.com/binary-husky/gpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)
-
-4. How to Run Under a Subdomain (e.g. `http://localhost/subpath`)
-Please visit [FastAPI Running Instructions](docs/WithFastapi.md)
-
-5. Using docker-compose to Run
-Read the docker-compose.yml and follow the prompts.
-
----
-# Advanced Usage
-## Custom New Shortcut Buttons / Custom Function Plugins
-
-1. Custom New Shortcut Buttons (Academic Hotkey)
-Open `core_functional.py` with any text editor, add an entry as follows and restart the program. (If the button has been successfully added and is visible, the prefix and suffix can be hot-modified without having to restart the program.)
-For example,
-```
-"Super English-to-Chinese": {
- # Prefix, which will be added before your input. For example, used to describe your requests, such as translation, code explanation, polishing, etc.
- "Prefix": "Please translate the following content into Chinese and then use a markdown table to explain the proprietary terms that appear in the text：\n\n",
-
- # Suffix, which is added after your input. For example, with the prefix, your input content can be surrounded by quotes.
- "Suffix": "",
-},
-```
-
-
-
-
-2. Custom Function Plugins
-
-Write powerful function plugins to perform any task you can think of, even those you cannot think of.
-The difficulty of plugin writing and debugging in this project is very low. As long as you have a certain knowledge of Python, you can implement your own plug-in functions based on the template we provide.
-For details, please refer to the [Function Plugin Guide](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97).
-
----
-# Latest Update
-## New Feature Dynamics
-1. Conversation saving function. Call `Save current conversation` in the function plugin area to save the current conversation as a readable and recoverable HTML file. In addition, call `Load conversation history archive` in the function plugin area (dropdown menu) to restore previous sessions. Tip: Clicking `Load conversation history archive` without specifying a file will display the cached history of HTML archives, and clicking `Delete all local conversation history` will delete all HTML archive caches.
-
-
-
-
-
-
-2. Report generation. Most plugins will generate work reports after execution.
-
-
-
-
-3. Modular function design with simple interfaces that support powerful functions.
-
-
-
-
-
-
-
-4. This is an open-source project that can "self-translate".
-
-
-
-
-
-5. Translating other open-source projects is a piece of cake.
-
-
-
-
-
-
-
-
-
-6. A small feature decorated with [live2d](https://github.com/fghrsh/live2d_demo) (disabled by default, need to modify `config.py`).
-
-
-
-
-
-7. Added MOSS large language model support.
-
-
-
-
-8. OpenAI image generation.
-
-
-
-
-9. OpenAI audio parsing and summarization.
-
-
-
-
-10. Full-text proofreading and error correction of LaTeX.
-
-
-
-
-
-## Versions:
-- version 3.5(Todo): Use natural language to call all function plugins of this project (high priority).
-- version 3.4(Todo): Improve multi-threading support for chatglm local large models.
-- version 3.3: +Internet information integration function.
-- version 3.2: Function plugin supports more parameter interfaces (save conversation function, interpretation of any language code + simultaneous inquiry of any LLM combination).
-- version 3.1: Support simultaneous inquiry of multiple GPT models! Support api2d, and support load balancing of multiple apikeys.
-- version 3.0: Support chatglm and other small LLM models.
-- version 2.6: Refactored plugin structure, improved interactivity, and added more plugins.
-- version 2.5: Self-updating, solving the problem of text overflow and token overflow when summarizing large engineering source codes.
-- version 2.4: (1) Added PDF full-text translation function; (2) Added the function of switching the position of the input area; (3) Added vertical layout option; (4) Optimized multi-threading function plugins.
-- version 2.3: Enhanced multi-threading interactivity.
-- version 2.2: Function plugin supports hot reloading.
-- version 2.1: Collapsible layout.
-- version 2.0: Introduction of modular function plugins.
-- version 1.0: Basic functions.
-
-gpt_academic Developer QQ Group-2: 610599535
-
-- Known Issues
- - Some browser translation plugins interfere with the front-end operation of this software.
- - Both high and low versions of gradio can lead to various exceptions.
-
-## Reference and Learning
-
-```
-Many other excellent designs have been referenced in the code, mainly including:
-
-# Project 1: THU ChatGLM-6B:
-https://github.com/THUDM/ChatGLM-6B
-
-# Project 2: THU JittorLLMs:
-https://github.com/Jittor/JittorLLMs
-
-# Project 3: Edge-GPT:
-https://github.com/acheong08/EdgeGPT
-
-# Project 4: ChuanhuChatGPT:
-https://github.com/GaiZhenbiao/ChuanhuChatGPT
-
-# Project 5: ChatPaper:
-https://github.com/kaixindelele/ChatPaper
-
-# More:
-https://github.com/gradio-app/gradio
-https://github.com/fghrsh/live2d_demo
-```
\ No newline at end of file
diff --git a/docs/README_FR.md b/docs/README_FR.md
deleted file mode 100644
index 62d81eb..0000000
--- a/docs/README_FR.md
+++ /dev/null
@@ -1,323 +0,0 @@
-> **Note**
->
-> Ce fichier README est généré automatiquement par le plugin de traduction markdown de ce projet et n'est peut - être pas correct à 100%.
->
-> During installation, please strictly select the versions **specified** in requirements.txt.
->
-> `pip install -r requirements.txt`
->
-
-#
Optimisation académique GPT (GPT Academic)
-
-**Si vous aimez ce projet, veuillez lui donner une étoile. Si vous avez trouvé des raccourcis académiques ou des plugins fonctionnels plus utiles, n'hésitez pas à ouvrir une demande ou une pull request.
-Pour traduire ce projet dans une langue arbitraire avec GPT, lisez et exécutez [`multi_language.py`](multi_language.py) (expérimental).
-
-> **Note**
->
-> 1. Veuillez noter que seuls les plugins de fonctions (boutons) **en rouge** prennent en charge la lecture de fichiers. Certains plugins se trouvent dans le **menu déroulant** de la zone de plugins. De plus, nous accueillons et traitons les nouvelles pull requests pour les plugins avec **la plus haute priorité**!
->
-> 2. Les fonctions de chaque fichier de ce projet sont expliquées en détail dans l'auto-analyse [`self_analysis.md`](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A). Avec l'itération des versions, vous pouvez également cliquer sur les plugins de fonctions pertinents et appeler GPT pour régénérer le rapport d'auto-analyse du projet à tout moment. Les FAQ sont résumées dans [le wiki](https://github.com/binary-husky/gpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98). [Méthode d'installation](#installation).
->
-> 3. Ce projet est compatible avec et encourage l'utilisation de grands modèles de langage nationaux tels que chatglm, RWKV, Pangu, etc. La coexistence de plusieurs clés API est prise en charge et peut être remplie dans le fichier de configuration, tel que `API_KEY="openai-key1,openai-key2,api2d-key3"`. Lorsque vous souhaitez remplacer temporairement `API_KEY`, saisissez temporairement `API_KEY` dans la zone de saisie, puis appuyez sur Entrée pour soumettre et activer.
-
-
-
-Functionnalité | Description
---- | ---
-Révision en un clic | prend en charge la révision en un clic et la recherche d'erreurs de syntaxe dans les articles
-Traduction chinois-anglais en un clic | Traduction chinois-anglais en un clic
-Explication de code en un clic | Affichage, explication, génération et ajout de commentaires de code
-[Raccourcis personnalisés](https://www.bilibili.com/video/BV14s4y1E7jN) | prend en charge les raccourcis personnalisés
-Conception modulaire | prend en charge de puissants plugins de fonction personnalisée, les plugins prennent en charge la [mise à jour à chaud](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
-[Autoscanner](https://www.bilibili.com/video/BV1cj411A7VW) | [Plug-in de fonction] [Compréhension instantanée](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) du code source de ce projet
-[Analyse de programme](https://www.bilibili.com/video/BV1cj411A7VW) | [Plug-in de fonction] Analyse en un clic de la structure d'autres projets Python / C / C ++ / Java / Lua / ...
-Lecture d'articles, [traduction](https://www.bilibili.com/video/BV1KT411x7Wn) d'articles | [Plug-in de fonction] Compréhension instantanée de l'article latex / pdf complet et génération de résumés
-[Traduction](https://www.bilibili.com/video/BV1nk4y1Y7Js/) et [révision](https://www.bilibili.com/video/BV1FT411H7c5/) complets en latex | [Plug-in de fonction] traduction ou révision en un clic d'articles en latex
-Génération de commentaires en masse | [Plug-in de fonction] Génération en un clic de commentaires de fonction en masse
-Traduction [chinois-anglais](https://www.bilibili.com/video/BV1yo4y157jV/) en Markdown | [Plug-in de fonction] avez-vous vu la [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) pour les 5 langues ci-dessus?
-Génération de rapports d'analyse de chat | [Plug-in de fonction] Génère automatiquement un rapport de résumé après l'exécution
-[Traduction intégrale en pdf](https://www.bilibili.com/video/BV1KT411x7Wn) | [Plug-in de fonction] Extraction de titre et de résumé de l'article pdf + traduction intégrale (multi-thread)
-[Aide à arxiv](https://www.bilibili.com/video/BV1LM4y1279X) | [Plug-in de fonction] Entrer l'url de l'article arxiv pour traduire et télécharger le résumé en un clic
-[Aide à la recherche Google Scholar](https://www.bilibili.com/video/BV19L411U7ia) | [Plug-in de fonction] Donnez l'URL de la page de recherche Google Scholar, laissez GPT vous aider à [écrire des ouvrages connexes](https://www.bilibili.com/video/BV1GP411U7Az/)
-Aggrégation d'informations en ligne et GPT | [Plug-in de fonction] Permet à GPT de [récupérer des informations en ligne](https://www.bilibili.com/video/BV1om4y127ck), puis de répondre aux questions, afin que les informations ne soient jamais obsolètes
-Affichage d'équations / images / tableaux | Fournit un affichage simultané de [la forme tex et de la forme rendue](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png), prend en charge les formules mathématiques et la coloration syntaxique du code
-Prise en charge des plugins à plusieurs threads | prend en charge l'appel multithread de chatgpt, un clic pour traiter [un grand nombre d'articles](https://www.bilibili.com/video/BV1FT411H7c5/) ou de programmes
-Thème gradio sombre en option de démarrage | Ajoutez```/?__theme=dark``` à la fin de l'URL du navigateur pour basculer vers le thème sombre
-[Prise en charge de plusieurs modèles LLM](https://www.bilibili.com/video/BV1wT411p7yf), [API2D](https://api2d.com/) | Sera probablement très agréable d'être servi simultanément par GPT3.5, GPT4, [ChatGLM de Tsinghua](https://github.com/THUDM/ChatGLM-6B), [MOSS de Fudan](https://github.com/OpenLMLab/MOSS)
-Plus de modèles LLM, déploiement de [huggingface](https://huggingface.co/spaces/qingxu98/gpt-academic) | Ajout prise en charge de l'interface Newbing (nouvelle bing), introduction du support de [Jittorllms de Tsinghua](https://github.com/Jittor/JittorLLMs), [LLaMA](https://github.com/facebookresearch/llama), [RWKV](https://github.com/BlinkDL/ChatRWKV) et [Panguα](https://openi.org.cn/pangu/)
-Plus de nouvelles fonctionnalités (génération d'images, etc.) ... | Voir la fin de ce document pour plus de détails ...
-
-
-
-
-- Nouvelle interface (modifier l'option LAYOUT de `config.py` pour passer d'une disposition ``gauche-droite`` à une disposition ``haut-bas``)
-
-
-
- Tous les boutons sont générés dynamiquement en lisant functional.py et peuvent être facilement personnalisés pour ajouter des fonctionnalités personnalisées, ce qui facilite l'utilisation du presse-papiers.
-
-
-
-
-- Correction d'erreurs/lissage du texte.
-
-
-
-
-- Si la sortie contient des équations, elles sont affichées à la fois sous forme de tex et sous forme rendue pour faciliter la lecture et la copie.
-
-
-
-
-- Pas envie de lire les codes de ce projet? Tout le projet est directement exposé par ChatGPT.
-
-
-
-
-- Appel à une variété de modèles de langage de grande envergure (ChatGLM + OpenAI-GPT3.5 + [API2D] (https://api2d.com/)-GPT4).
-
-
-
-
----
-# Installation
-## Installation-Method 1: running directly (Windows, Linux or MacOS)
-
-1. Télécharger le projet
-```sh
-git clone https://github.com/binary-husky/gpt_academic.git
-cd gpt_academic
-```
-
-2. Configuration de la clé API
-
-Dans `config.py`, configurez la clé API et d'autres paramètres. Consultez [Special network environment settings] (https://github.com/binary-husky/gpt_academic/issues/1).
-
-(P.S. Lorsque le programme est exécuté, il vérifie en premier s'il existe un fichier de configuration privé nommé `config_private.py` et remplace les paramètres portant le même nom dans `config.py` par les paramètres correspondants dans `config_private.py`. Par conséquent, si vous comprenez la logique de lecture de nos configurations, nous vous recommandons vivement de créer un nouveau fichier de configuration nommé `config_private.py` à côté de `config.py` et de transférer (copier) les configurations de `config.py`. `config_private.py` n'est pas contrôlé par Git et peut garantir la sécurité de vos informations privées. P.S. Le projet prend également en charge la configuration de la plupart des options via "variables d'environnement", le format d'écriture des variables d'environnement est référencé dans le fichier `docker-compose`. Priorité de lecture: "variables d'environnement" > `config_private.py` > `config.py`)
-
-
-3. Installer les dépendances
-```sh
-# (Option I: python users instalation) (Python version 3.9 or higher, the newer the better). Note: use official pip source or ali pip source. To temporarily change the source: python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
-python -m pip install -r requirements.txt
-
-# (Option II: non-python users instalation) Use Anaconda, the steps are similar (https://www.bilibili.com/video/BV1rc411W7Dr):
-conda create -n gptac_venv python=3.11 # Create anaconda env
-conda activate gptac_venv # Activate anaconda env
-python -m pip install -r requirements.txt # Same step as pip instalation
-```
-
-
Cliquez ici pour afficher le texte si vous souhaitez prendre en charge THU ChatGLM/FDU MOSS en tant que backend.
-
-
-【Optional】 Si vous souhaitez prendre en charge THU ChatGLM/FDU MOSS en tant que backend, des dépendances supplémentaires doivent être installées (prérequis: compétent en Python + utilisez Pytorch + configuration suffisante de l'ordinateur):
-```sh
-# 【Optional Step I】 Support THU ChatGLM. Remarque sur THU ChatGLM: Si vous rencontrez l'erreur "Appel à ChatGLM échoué, les paramètres ChatGLM ne peuvent pas être chargés normalement", reportez-vous à ce qui suit: 1: La version par défaut installée est torch+cpu, si vous souhaitez utiliser cuda, vous devez désinstaller torch et réinstaller torch+cuda; 2: Si le modèle ne peut pas être chargé en raison d'une configuration insuffisante de l'ordinateur local, vous pouvez modifier la précision du modèle dans request_llms/bridge_chatglm.py, modifier AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) par AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True)
-python -m pip install -r request_llms/requirements_chatglm.txt
-
-# 【Optional Step II】 Support FDU MOSS
-python -m pip install -r request_llms/requirements_moss.txt
-git clone https://github.com/OpenLMLab/MOSS.git request_llms/moss # Note: When running this line of code, you must be in the project root path.
-
-# 【Optional Step III】Make sure the AVAIL_LLM_MODELS in the config.py configuration file contains the desired model. Currently, all models supported are as follows (the jittorllms series currently only supports the docker scheme):
-AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing", "moss"] # + ["jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]
-```
-
-
-
-
-
-
-4. Exécution
-```sh
-python main.py
-```5. Plugin de fonction de test
-```
-- Fonction de modèle de plugin de test (requiert que GPT réponde à ce qui s'est passé dans l'histoire aujourd'hui), vous pouvez utiliser cette fonction comme modèle pour mettre en œuvre des fonctionnalités plus complexes.
- Cliquez sur "[Démo de modèle de plugin de fonction] Aujourd'hui dans l'histoire"
-```
-
-## Installation - Méthode 2: Utilisation de Docker
-
-1. ChatGPT uniquement (recommandé pour la plupart des gens)
-
-``` sh
-git clone https://github.com/binary-husky/gpt_academic.git # Télécharger le projet
-cd gpt_academic # Accéder au chemin
-nano config.py # Editez config.py avec n'importe quel éditeur de texte en configurant "Proxy", "API_KEY" et "WEB_PORT" (p. ex. 50923)
-docker build -t gpt-academic . # Installer
-
-# (Dernière étape - choix1) Dans un environnement Linux, l'utilisation de `--net=host` est plus facile et rapide
-docker run --rm -it --net=host gpt-academic
-# (Dernière étape - choix 2) Dans un environnement macOS/Windows, seule l'option -p permet d'exposer le port du récipient (p.ex. 50923) au port de l'hôte.
-docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic
-```
-
-2. ChatGPT + ChatGLM + MOSS (il faut connaître Docker)
-
-``` sh
-# Modifiez docker-compose.yml, supprimez la solution 1 et la solution 3, conservez la solution 2. Modifiez la configuration de la solution 2 dans docker-compose.yml en suivant les commentaires.
-docker-compose up
-```
-
-3. ChatGPT + LLAMA + PanGu + RWKV (il faut connaître Docker)
-``` sh
-# Modifiez docker-compose.yml, supprimez la solution 1 et la solution 2, conservez la solution 3. Modifiez la configuration de la solution 3 dans docker-compose.yml en suivant les commentaires.
-docker-compose up
-```
-
-
-## Installation - Méthode 3: Autres méthodes de déploiement
-
-1. Comment utiliser une URL de proxy inversé / Microsoft Azure Cloud API
-Configurez simplement API_URL_REDIRECT selon les instructions de config.py.
-
-2. Déploiement distant sur un serveur cloud (connaissance et expérience des serveurs cloud requises)
-Veuillez consulter [Wiki de déploiement-1] (https://github.com/binary-husky/gpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97).
-
-3. Utilisation de WSL2 (sous-système Windows pour Linux)
-Veuillez consulter [Wiki de déploiement-2] (https://github.com/binary-husky/gpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2).
-
-4. Comment exécuter sous un sous-répertoire (tel que `http://localhost/subpath`)
-Veuillez consulter les [instructions d'exécution de FastAPI] (docs/WithFastapi.md).
-
-5. Utilisation de docker-compose
-Veuillez lire docker-compose.yml, puis suivre les instructions fournies.
-
-# Utilisation avancée
-## Personnalisation de nouveaux boutons pratiques / Plugins de fonctions personnalisées
-
-1. Personnalisation de nouveaux boutons pratiques (raccourcis académiques)
-Ouvrez core_functional.py avec n'importe quel éditeur de texte, ajoutez une entrée comme suit, puis redémarrez le programme. (Si le bouton a été ajouté avec succès et est visible, le préfixe et le suffixe prennent en charge les modifications à chaud et ne nécessitent pas le redémarrage du programme pour prendre effet.)
-Par exemple
-```
-"Super coller sens": {
- # Préfixe, sera ajouté avant votre entrée. Par exemple, pour décrire votre demande, telle que traduire, expliquer du code, faire la mise en forme, etc.
- "Prefix": "Veuillez traduire le contenu suivant en chinois, puis expliquer chaque terme proprement nommé qui y apparaît avec un tableau markdown:\n\n",
-
- # Suffixe, sera ajouté après votre entrée. Par exemple, en utilisant le préfixe, vous pouvez entourer votre contenu d'entrée de guillemets.
- "Suffix": "",
-},
-```
-
-
-
-
-2. Plugins de fonctions personnalisées
-
-Écrivez des plugins de fonctions puissants pour effectuer toutes les tâches que vous souhaitez ou que vous ne pouvez pas imaginer.
-Les plugins de ce projet ont une difficulté de programmation et de débogage très faible. Si vous avez des connaissances de base en Python, vous pouvez simuler la fonctionnalité de votre propre plugin en suivant le modèle que nous avons fourni.
-Veuillez consulter le [Guide du plugin de fonction] (https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97) pour plus de détails.
-
----
-# Latest Update
-
-## Nouvelles fonctionnalités en cours de déploiement.
-
-1. Fonction de sauvegarde de la conversation.
-Appelez simplement "Enregistrer la conversation actuelle" dans la zone de plugin de fonction pour enregistrer la conversation actuelle en tant que fichier html lisible et récupérable. De plus, dans la zone de plugin de fonction (menu déroulant), appelez "Charger une archive de l'historique de la conversation" pour restaurer la conversation précédente. Astuce : cliquer directement sur "Charger une archive de l'historique de la conversation" sans spécifier de fichier permet de consulter le cache d'archive html précédent. Cliquez sur "Supprimer tous les enregistrements locaux de l'historique de la conversation" pour supprimer le cache d'archive html.
-
-
-
-
-
-
-
-2. Générer un rapport. La plupart des plugins génèrent un rapport de travail après l'exécution.
-
-
-3. Conception de fonctionnalités modulaires avec une interface simple mais capable d'une fonctionnalité puissante.
-
-
-
-
-
-4. C'est un projet open source qui peut "se traduire de lui-même".
-
-
-
-
-5. Traduire d'autres projets open source n'est pas un problème.
-
-
-
-
-
-
-
-
-6. Fonction de décoration de live2d (désactivée par défaut, nécessite une modification de config.py).
-
-
-
-
-7. Prise en charge du modèle de langue MOSS.
-
-
-
-
-8. Génération d'images OpenAI.
-
-
-
-
-9. Analyse et synthèse vocales OpenAI.
-
-
-
-
-10. Correction de la totalité des erreurs de Latex.
-
-
-
-
-
-## Versions :
-- version 3.5 (À faire) : appel de toutes les fonctions de plugin de ce projet en langage naturel (priorité élevée)
-- version 3.4 (À faire) : amélioration du support multi-thread de chatglm en local
-- version 3.3 : Fonctionnalité intégrée d'informations d'internet
-- version 3.2 : La fonction du plugin de fonction prend désormais en charge des interfaces de paramètres plus nombreuses (fonction de sauvegarde, décodage de n'importe quel langage de code + interrogation simultanée de n'importe quelle combinaison de LLM)
-- version 3.1 : Prise en charge de l'interrogation simultanée de plusieurs modèles GPT ! Support api2d, équilibrage de charge multi-clé api.
-- version 3.0 : Prise en charge de chatglm et autres LLM de petite taille.
-- version 2.6 : Refonte de la structure des plugins, amélioration de l'interactivité, ajout de plus de plugins.
-- version 2.5 : Auto-mise à jour, résolution des problèmes de texte trop long et de dépassement de jetons lors de la compilation du projet global.
-- version 2.4 : (1) Nouvelle fonction de traduction de texte intégral PDF ; (2) Nouvelle fonction de permutation de position de la zone d'entrée ; (3) Nouvelle option de mise en page verticale ; (4) Amélioration des fonctions multi-thread de plug-in.
-- version 2.3 : Amélioration de l'interactivité multithread.
-- version 2.2 : Les plugins de fonctions peuvent désormais être rechargés à chaud.
-- version 2.1 : Disposition pliable
-- version 2.0 : Introduction de plugins de fonctions modulaires
-- version 1.0 : Fonctionnalités de base
-
-gpt_academic développeur QQ groupe-2：610599535
-
-- Problèmes connus
- - Certains plugins de traduction de navigateur perturbent le fonctionnement de l'interface frontend de ce logiciel
- - Des versions gradio trop hautes ou trop basses provoquent de nombreuses anomalies
-
-## Référence et apprentissage
-
-```
-De nombreux autres excellents projets ont été référencés dans le code, notamment :
-
-# Projet 1 : ChatGLM-6B de Tsinghua :
-https://github.com/THUDM/ChatGLM-6B
-
-# Projet 2 : JittorLLMs de Tsinghua :
-https://github.com/Jittor/JittorLLMs
-
-# Projet 3 : Edge-GPT :
-https://github.com/acheong08/EdgeGPT
-
-# Projet 4 : ChuanhuChatGPT :
-https://github.com/GaiZhenbiao/ChuanhuChatGPT
-
-# Projet 5 : ChatPaper :
-https://github.com/kaixindelele/ChatPaper
-
-# Plus :
-https://github.com/gradio-app/gradio
-https://github.com/fghrsh/live2d_demo
-```
\ No newline at end of file
diff --git a/docs/README_JP.md b/docs/README_JP.md
deleted file mode 100644
index 8ade71b..0000000
--- a/docs/README_JP.md
+++ /dev/null
@@ -1,329 +0,0 @@
-> **Note**
->
-> このReadmeファイルは、このプロジェクトのmarkdown翻訳プラグインによって自動的に生成されたもので、100%正確ではない可能性があります。
->
-> When installing dependencies, please strictly choose the versions specified in `requirements.txt`.
->
-> `pip install -r requirements.txt`
->
-
-#
GPT 学术优化 (GPT Academic)
-
-**もしこのプロジェクトが好きなら、星をつけてください。もしあなたがより良いアカデミックショートカットまたは機能プラグインを思いついた場合、Issueをオープンするか pull request を送信してください。私たちはこのプロジェクト自体によって翻訳された[英語 |](README_EN.md)[日本語 |](README_JP.md)[한국어 |](https://github.com/mldljyh/ko_gpt_academic)[Русский |](README_RS.md)[Français](README_FR.md)のREADMEも用意しています。
-GPTを使った任意の言語にこのプロジェクトを翻訳するには、[`multi_language.py`](multi_language.py)を読んで実行してください。 (experimental)。
-
-> **注意**
->
-> 1. **赤色**で表示された関数プラグイン(ボタン)のみ、ファイルの読み取りをサポートしています。一部のプラグインは、プラグインエリアの**ドロップダウンメニュー**内にあります。また、私たちはどんな新しいプラグインのPRでも、**最優先**で歓迎し、処理します！
->
-> 2. このプロジェクトの各ファイルの機能は、自己解析の詳細説明書である[`self_analysis.md`](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A)で説明されています。バージョンが進化するにつれて、関連する関数プラグインをいつでもクリックし、GPTを呼び出してプロジェクトの自己解析レポートを再生成することができます。よくある問題は[`wiki`](https://github.com/binary-husky/gpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98)にまとめられています。[インストール方法](#installation)。
-
-> 3. このプロジェクトは、chatglmやRWKV、パンクなど、国内の大規模自然言語モデルを利用することをサポートし、試みることを奨励します。複数のAPIキーを共存することができ、設定ファイルに`API_KEY="openai-key1,openai-key2,api2d-key3"`のように記入することができます。`API_KEY`を一時的に変更する場合は、入力エリアに一時的な`API_KEY`を入力してEnterキーを押せば、それが有効になります。
-
-
-
-
-機能 | 説明
---- | ---
-一键校正 | 一键で校正可能、論文の文法エラーを検索することができる
-一键中英翻訳 | 一键で中英翻訳可能
-一键コード解説 | コードを表示し、解説し、生成し、コードに注釈をつけることができる
-[自分でカスタマイズ可能なショートカットキー](https://www.bilibili.com/video/BV14s4y1E7jN) | 自分でカスタマイズ可能なショートカットキーをサポートする
-モジュール化された設計 | カスタマイズ可能な[強力な関数プラグイン](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions)をサポートし、プラグインは[ホットアップデート](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)に対応している
-[自己プログラム解析](https://www.bilibili.com/video/BV1cj411A7VW) | [関数プラグイン] [一键読解](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A)このプロジェクトのソースコード
-プログラム解析 | [関数プラグイン] 一鍵で他のPython/C/C++/Java/Lua/...プロジェクトを分析できる
-論文の読み、[翻訳](https://www.bilibili.com/video/BV1KT411x7Wn) | [関数プラグイン] LaTex/ PDF論文の全文を一鍵で読み解き、要約を生成することができる
-LaTex全文[翻訳](https://www.bilibili.com/video/BV1nk4y1Y7Js/)、[校正](https://www.bilibili.com/video/BV1FT411H7c5/) | [関数プラグイン] LaTex論文の翻訳または校正を一鍵で行うことができる
-一括で注釈を生成 | [関数プラグイン] 一鍵で関数に注釈をつけることができる
-Markdown[中英翻訳](https://www.bilibili.com/video/BV1yo4y157jV/) | [関数プラグイン] 上記の5種類の言語の[README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md)を見たことがありますか？
-チャット分析レポート生成 | [関数プラグイン] 実行後、自動的に概要報告書を生成する
-[PDF論文全文翻訳機能](https://www.bilibili.com/video/BV1KT411x7Wn) | [関数プラグイン] PDF論文からタイトルと要約を抽出し、全文を翻訳する（マルチスレッド）
-[Arxivアシスタント](https://www.bilibili.com/video/BV1LM4y1279X) | [関数プラグイン] arxiv記事のURLを入力するだけで、要約を一鍵翻訳し、PDFをダウンロードできる
-[Google Scholar 総合アシスタント](https://www.bilibili.com/video/BV19L411U7ia) | [関数プラグイン] 任意のGoogle Scholar検索ページURLを指定すると、gptが[related works](https://www.bilibili.com/video/BV1GP411U7Az/)を作成する
-インターネット情報収集＋GPT | [関数プラグイン] まずGPTに[インターネットから情報を収集](https://www.bilibili.com/video/BV1om4y127ck)してから質問に回答させ、情報が常に最新であるようにする
-数式/画像/表表示 | 数式の[tex形式とレンダリング形式](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png)を同時に表示し、数式、コードハイライトをサポートしている
-マルチスレッド関数プラグインがサポートされている | chatgptをマルチスレッドで呼び出し、[大量のテキスト](https://www.bilibili.com/video/BV1FT411H7c5/)またはプログラムを一鍵で処理できる
-ダークグラジオ[テーマの起動](https://github.com/binary-husky/gpt_academic/issues/173) | ブラウザのURLの後ろに```/?__theme=dark```を追加すると、ダークテーマを切り替えることができます。
-[多数のLLMモデル](https://www.bilibili.com/video/BV1wT411p7yf)がサポートされ、[API2D](https://api2d.com/)がサポートされている | 同時にGPT3.5、GPT4、[清華ChatGLM](https://github.com/THUDM/ChatGLM-6B)、[復旦MOSS](https://github.com/OpenLMLab/MOSS)に対応
-より多くのLLMモデルが接続され、[huggingfaceデプロイ](https://huggingface.co/spaces/qingxu98/gpt-academic)がサポートされている | Newbingインターフェイス（Newbing）、清華大学の[Jittorllm](https://github.com/Jittor/JittorLLMs)のサポート[LLaMA](https://github.com/facebookresearch/llama), [RWKV](https://github.com/BlinkDL/ChatRWKV)と[盘古α](https://openi.org.cn/pangu/)
-さらに多くの新機能（画像生成など）を紹介する... | この文書の最後に示す...
-
-
-- 新しいインターフェース（`config.py`のLAYOUTオプションを変更することで、「左右配置」と「上下配置」を切り替えることができます）
-
-
-
- All buttons are dynamically generated by reading functional.py, and custom functions can be freely added to free the clipboard.
-
-
-
-
-
-- Polishing/Correction
-
-
-
-
-
-- If the output contains formulas, they are displayed in both TeX and rendering forms, making it easy to copy and read.
-
-
-
-
-
-- Don't feel like looking at the project code? Just ask chatgpt directly.
-
-
-
-
-
-
-- Mixed calls of multiple large language models (ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4）
-
-
-
-
-
----
-
-# Installation
-
-## Installation-Method 1: Directly run (Windows, Linux or MacOS)
-
-1. Download the project.
-
-```sh
-git clone https://github.com/binary-husky/gpt_academic.git
-cd gpt_academic
-```
-
-2. Configure the API_KEY.
-
-Configure the API KEY and other settings in `config.py` and [special network environment settings](https://github.com/binary-husky/gpt_academic/issues/1).
-
-(P.S. When the program is running, it will first check if there is a private configuration file named `config_private.py`, and use the configuration in it to override the same name configuration in `config.py`. Therefore, if you can understand our configuration reading logic, we strongly recommend that you create a new configuration file named `config_private.py` next to `config.py`, and transfer (copy) the configuration in `config.py` to `config_private.py`. `config_private.py` is not controlled by git and can make your privacy information more secure. P.S. The project also supports configuring most options through `environment variables`, and the writing format of environment variables refers to the `docker-compose` file. Reading priority: `environment variables` > `config_private.py` > `config.py`)
-
-3. Install dependencies.
-
-```sh
-# （Choose I: If familiar with Python）(Python version 3.9 or above, the newer the better) Note: Use the official pip source or Ali pip source. Temporary switching source method: python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
-python -m pip install -r requirements.txt
-
-# (Choose II: If not familiar with Python) Use anaconda, the steps are the same (https://www.bilibili.com/video/BV1rc411W7Dr):
-conda create -n gptac_venv python=3.11 # Create anaconda environment.
-conda activate gptac_venv # Activate the anaconda environment.
-python -m pip install -r requirements.txt # This step is the same as the pip installation step.
-```
-
-
If you need to support Tsinghua ChatGLM/Fudan MOSS as a backend, click to expand.
-
-
-[Optional Steps] If you need to support Tsinghua ChatGLM/Fudan MOSS as a backend, you need to install more dependencies (precondition: familiar with Python + used Pytorch + computer configuration). Strong enough):
-
-```sh
-# Optional step I: support Tsinghua ChatGLM. Tsinghua ChatGLM remarks: If you encounter the error "Call ChatGLM fail cannot load ChatGLM parameters normally", refer to the following: 1: The version installed above is torch+cpu version, using cuda requires uninstalling torch and reinstalling torch+cuda; 2: If the model cannot be loaded due to insufficient local configuration, you can modify the model accuracy in request_llms/bridge_chatglm.py, and change AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) to AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True).
-python -m pip install -r request_llms/requirements_chatglm.txt
-
-# Optional Step II: Support Fudan MOSS.
-python -m pip install -r request_llms/requirements_moss.txt
-git clone https://github.com/OpenLMLab/MOSS.git request_llms/moss # Note that when executing this line of code, it must be in the project root.
-
-# 【Optional Step III】Ensure that the AVAIL_LLM_MODELS in the config.py configuration file contains the expected model. Currently, all supported models are as follows (jittorllms series currently only supports the docker solution):
-AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing", "moss"] # + ["jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]
-```
-
-
-
-
-
-
-4. Run.
-
-```sh
-python main.py
-```5. Testing Function Plugin
-```
-- Test function plugin template function (requires gpt to answer what happened today in history), you can use this function as a template to implement more complex functions
- Click "[Function Plugin Template Demo] Today in History"
-```
-
-## Installation-Methods 2: Using Docker
-
-1. Only ChatGPT (recommended for most people)
-
- ``` sh
-git clone https://github.com/binary-husky/gpt_academic.git # Download project
-cd gpt_academic # Enter path
-nano config.py # Edit config.py with any text editor ‑ configure "Proxy," "API_KEY," "WEB_PORT" (e.g., 50923) and more
-docker build -t gpt-academic . # installation
-
-#(Last step-Option 1) In a Linux environment, `--net=host` is more convenient and quick
-docker run --rm -it --net=host gpt-academic
-#(Last step-Option 2) In a macOS/windows environment, the -p option must be used to expose the container port (e.g., 50923) to the port on the host.
-docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic
-```
-
-2. ChatGPT + ChatGLM + MOSS (requires familiarity with Docker)
-
-``` sh
-# Modify docker-compose.yml, delete plans 1 and 3, and retain plan 2. Modify the configuration of plan 2 in docker-compose.yml, and reference the comments for instructions.
-docker-compose up
-```
-
-3. ChatGPT + LLAMA + Pangu + RWKV (requires familiarity with Docker)
-``` sh
-# Modify docker-compose.yml, delete plans 1 and 2, and retain plan 3. Modify the configuration of plan 3 in docker-compose.yml, and reference the comments for instructions.
-docker-compose up
-```
-
-
-## Installation-Method 3: Other Deployment Methods
-
-1. How to use proxy URL/Microsoft Azure API
-Configure API_URL_REDIRECT according to the instructions in `config.py`.
-
-2. Remote Cloud Server Deployment (requires cloud server knowledge and experience)
-Please visit [Deployment Wiki-1](https://github.com/binary-husky/gpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
-
-3. Using WSL2 (Windows Subsystem for Linux Subsystem)
-Please visit [Deployment Wiki-2](https://github.com/binary-husky/gpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)
-
-4. How to run on a secondary URL (such as `http://localhost/subpath`)
-Please visit [FastAPI Running Instructions](docs/WithFastapi.md)
-
-5. Run with docker-compose
-Please read docker-compose.yml and follow the instructions provided therein.
----
-# Advanced Usage
-## Customize new convenience buttons/custom function plugins
-
-1. Custom new convenience buttons (academic shortcut keys)
-Open `core_functional.py` with any text editor, add the item as follows, and restart the program. (If the button has been added successfully and is visible, the prefix and suffix support hot modification without restarting the program.)
-example:
-```
-"Super English to Chinese Translation": {
- # Prefix, which will be added before your input. For example, used to describe your request, such as translation, code interpretation, polish, etc.
- "Prefix": "Please translate the following content into Chinese, and explain the proper nouns in the text in a markdown table one by one:\n\n",
-
- # Suffix, which will be added after your input. For example, in combination with the prefix, you can surround your input content with quotation marks.
- "Suffix": "",
-},
-```
-
-
-
-
-2. Custom function plugins
-
-Write powerful function plugins to perform any task you can and cannot think of.
-The difficulty of writing and debugging plugins in this project is low, and as long as you have a certain amount of python basic knowledge, you can follow the template provided by us to achieve your own plugin functions.
-For details, please refer to the [Function Plugin Guide](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97).
-
----
-# Latest Update
-## New feature dynamics.
-1. ダイアログの保存機能。関数プラグインエリアで '現在の会話を保存' を呼び出すと、現在のダイアログを読み取り可能で復元可能なHTMLファイルとして保存できます。さらに、関数プラグインエリア（ドロップダウンメニュー）で 'ダイアログの履歴保存ファイルを読み込む' を呼び出すことで、以前の会話を復元することができます。Tips:ファイルを指定せずに 'ダイアログの履歴保存ファイルを読み込む' をクリックすることで、過去のHTML保存ファイルのキャッシュを表示することができます。'すべてのローカルダイアログの履歴を削除' をクリックすることで、すべてのHTML保存ファイルのキャッシュを削除できます。
-
-
-
-
-
-2. 報告書を生成します。ほとんどのプラグインは、実行が終了した後に作業報告書を生成します。
-
-
-3. モジュール化された機能設計、簡単なインターフェースで強力な機能をサポートする。
-
-
-
-
-
-4. 自己解決可能なオープンソースプロジェクトです。
-
-
-
-
-
-5. 他のオープンソースプロジェクトの解読、容易である。
-
-
-
-
-
-
-
-
-6. [Live2D](https://github.com/fghrsh/live2d_demo)のデコレート小機能です。（デフォルトでは閉じてますが、 `config.py`を変更する必要があります。）
-
-
-
-
-7. 新たにMOSS大言語モデルのサポートを追加しました。
-
-
-
-
-8. OpenAI画像生成
-
-
-
-
-9. OpenAIオーディオの解析とサマリー
-
-
-
-
-10. 全文校正されたLaTeX
-
-
-
-
-
-## バージョン：
-- version 3.5（作業中）：すべての関数プラグインを自然言語で呼び出すことができるようにする（高い優先度）。
-- version 3.4（作業中）：chatglmのローカルモデルのマルチスレッドをサポートすることで、機能を改善する。
-- version 3.3：+Web情報の総合機能
-- version 3.2：関数プラグインでさらに多くのパラメータインターフェイスをサポートする（ダイアログの保存機能、任意の言語コードの解読+同時に任意のLLM組み合わせに関する問い合わせ）
-- version 3.1：複数のGPTモデルを同時に質問できるようになりました！ api2dをサポートし、複数のAPIキーを均等に負荷分散することができます。
-- version 3.0：chatglmとその他の小型LLMのサポート。
-- version 2.6：プラグイン構造を再構築し、対話内容を高め、より多くのプラグインを追加しました。
-- version 2.5：自己アップデートし、長文書やトークンのオーバーフローの問題を解決しました。
-- version 2.4：（1）全文翻訳のPDF機能を追加しました。（2）入力エリアの位置切り替え機能を追加しました。（3）垂直レイアウトオプションを追加しました。（4）マルチスレッド関数プラグインを最適化しました。
-- version 2.3：マルチスレッド性能の向上。
-- version 2.2：関数プラグインのホットリロードをサポートする。
-- version 2.1：折りたたみ式レイアウト。
-- version 2.0：モジュール化された関数プラグインを導入。
-- version 1.0：基本機能
-
-gpt_academic開発者QQグループ-2：610599535
-
-- 既知の問題
- - 一部のブラウザ翻訳プラグインが、このソフトウェアのフロントエンドの実行を妨害する
- - gradioバージョンが高すぎるか低すぎると、多くの異常が引き起こされる
-
-## 参考学習
-
-```
-コードの中には、他の優れたプロジェクトの設計から参考にしたものがたくさん含まれています：
-
-# プロジェクト1：清華ChatGLM-6B:
-https://github.com/THUDM/ChatGLM-6B
-
-# プロジェクト2：清華JittorLLMs:
-https://github.com/Jittor/JittorLLMs
-
-# プロジェクト3：Edge-GPT:
-https://github.com/acheong08/EdgeGPT
-
-# プロジェクト4：ChuanhuChatGPT:
-https://github.com/GaiZhenbiao/ChuanhuChatGPT
-
-# プロジェクト5：ChatPaper:
-https://github.com/kaixindelele/ChatPaper
-
-# その他：
-https://github.com/gradio-app/gradio
-https://github.com/fghrsh/live2d_demo
-```
\ No newline at end of file
diff --git a/docs/README_RS.md b/docs/README_RS.md
deleted file mode 100644
index 52d18df..0000000
--- a/docs/README_RS.md
+++ /dev/null
@@ -1,278 +0,0 @@
-> **Note**
->
-> Этот файл самовыражения автоматически генерируется модулем перевода markdown в этом проекте и может быть не на 100% правильным.
->
-#
GPT Академическая оптимизация (GPT Academic)
-
-**Если вам нравится этот проект, пожалуйста, поставьте ему звезду. Если вы придумали более полезные языковые ярлыки или функциональные плагины, не стесняйтесь открывать issue или pull request.
-Чтобы перевести этот проект на произвольный язык с помощью GPT, ознакомьтесь и запустите [`multi_language.py`](multi_language.py) (экспериментальный).
-
-> **Примечание**
->
-> 1. Обратите внимание, что только функциональные плагины (кнопки), помеченные **красным цветом**, поддерживают чтение файлов, некоторые плагины находятся в **выпадающем меню** в области плагинов. Кроме того, мы с наивысшим приоритетом рады и обрабатываем pull requests для любых новых плагинов!
->
-> 2. В каждом файле проекта функциональность описана в документе самоанализа [`self_analysis.md`](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A). С каждой итерацией выполнения версии вы можете в любое время вызвать повторное создание отчета о самоанализе этого проекта, щелкнув соответствующий функциональный плагин и вызвав GPT. Вопросы сборки описаны в [`wiki`](https://github.com/binary-husky/gpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98). [Метод установки](#installation).
->
-> 3. Этот проект совместим и поощряет использование китайских языковых моделей chatglm и RWKV, пангу и т. Д. Поддержка нескольких api-key, которые могут существовать одновременно, может быть указан в файле конфигурации, например `API_KEY="openai-key1,openai-key2,api2d-key3"`. Если требуется временно изменить `API_KEY`, введите временный `API_KEY` в области ввода и нажмите клавишу Enter, чтобы он вступил в силу.
-
-> **Примечание**
->
-> При установке зависимостей строго выбирайте версии, **указанные в файле requirements.txt**.
->
-> `pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/`## Задание
-
-Вы профессиональный переводчик научных статей.
-
-Переведите этот файл в формате Markdown на русский язык. Не изменяйте существующие команды Markdown, ответьте только переведенными результатами.
-
-## Результат
-
-Функция | Описание
---- | ---
-Однокнопочный стиль | Поддержка однокнопочного стиля и поиска грамматических ошибок в научных статьях
-Однокнопочный перевод на английский и китайский | Однокнопочный перевод на английский и китайский
-Однокнопочное объяснение кода | Показ кода, объяснение его, генерация кода, комментирование кода
-[Настройка быстрых клавиш](https://www.bilibili.com/video/BV14s4y1E7jN) | Поддержка настройки быстрых клавиш
-Модульный дизайн | Поддержка пользовательских функциональных плагинов мощных [функциональных плагинов](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions), плагины поддерживают [горячую замену](https://github.com/binary-husky/gpt_academic/wiki/Function-Plug-in-Guide)
-[Анализ своей программы](https://www.bilibili.com/video/BV1cj411A7VW) | [Функциональный плагин] [Однокнопочный просмотр](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academicProject-Self-analysis-Report) исходного кода этого проекта
-[Анализ программы](https://www.bilibili.com/video/BV1cj411A7VW) | [Функциональный плагин] Однокнопочный анализ дерева других проектов Python/C/C++/Java/Lua/...
-Чтение статей, [перевод](https://www.bilibili.com/video/BV1KT411x7Wn) статей | [Функциональный плагин] Однокнопочное чтение полного текста научных статей и генерация резюме
-Полный перевод [LaTeX](https://www.bilibili.com/video/BV1nk4y1Y7Js/) и совершенствование | [Функциональный плагин] Однокнопочный перевод или совершенствование LaTeX статьи
-Автоматическое комментирование | [Функциональный плагин] Однокнопочное автоматическое генерирование комментариев функций
-[Перевод](https://www.bilibili.com/video/BV1yo4y157jV/) Markdown на английский и китайский | [Функциональный плагин] Вы видели обе версии файлов [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) для этих 5 языков?
-Отчет о чат-анализе | [Функциональный плагин] После запуска будет автоматически сгенерировано сводное извещение
-Функция перевода полного текста [PDF-статьи](https://www.bilibili.com/video/BV1KT411x7Wn) | [Функциональный плагин] Извлечение заголовка и резюме [PDF-статьи](https://www.bilibili.com/video/BV1KT411x7Wn) и перевод всего документа (многопоточность)
-[Arxiv Helper](https://www.bilibili.com/video/BV1LM4y1279X) | [Функциональный плагин] Введите URL статьи на arxiv и одним щелчком мыши переведите резюме и загрузите PDF
-[Google Scholar Integration Helper](https://www.bilibili.com/video/BV19L411U7ia) | [Функциональный плагин] При заданном любом URL страницы поиска в Google Scholar позвольте gpt вам помочь [написать обзор](https://www.bilibili.com/video/BV1GP411U7Az/)
-Сбор Интернет-информации + GPT | [Функциональный плагин] Однокнопочный [запрос информации из Интернета GPT](https://www.bilibili.com/video/BV1om4y127ck), затем ответьте на вопрос, чтобы информация не устарела никогда
-Отображение формул / изображений / таблиц | Может одновременно отображать формулы в [формате Tex и рендеринге](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png), поддерживает формулы, подсвечивает код
-Поддержка функций с многопоточностью | Поддержка многопоточного вызова chatgpt, однокнопочная обработка [больших объемов текста](https://www.bilibili.com/video/BV1FT411H7c5/) или программ
-Темная тема gradio для запуска приложений | Добавьте ```/?__theme=dark``` после URL в браузере, чтобы переключиться на темную тему
-[Поддержка нескольких моделей LLM](https://www.bilibili.com/video/BV1wT411p7yf), [API2D](https://api2d.com/) | Они одновременно обслуживаются GPT3.5, GPT4, [Clear ChatGLM](https://github.com/THUDM/ChatGLM-6B), [Fudan MOSS](https://github.com/OpenLMLab/MOSS)
-Подключение нескольких новых моделей LLM, поддержка деплоя[huggingface](https://huggingface.co/spaces/qingxu98/gpt-academic) | Подключение интерфейса Newbing (новый Bing), подключение поддержки [LLaMA](https://github.com/facebookresearch/llama), поддержка [RWKV](https://github.com/BlinkDL/ChatRWKV) и [Pangu α](https://openi.org.cn/pangu/)
-Больше новых функций (генерация изображения и т. д.) | См. на конце этого файла…- All buttons are dynamically generated by reading functional.py, and custom functions can be freely added to liberate the clipboard
-
-
-
-
-- Revision/Correction
-
-
-
-
-- If the output contains formulas, they will be displayed in both tex and rendered form for easy copying and reading
-
-
-
-
-- Don't feel like looking at project code? Show the entire project directly in chatgpt
-
-
-
-
-- Mixing multiple large language models (ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4）
-
-
-
-
----
-# Installation
-## Installation-Method 1: Run directly (Windows, Linux or MacOS)
-
-1. Download the project
-```sh
-git clone https://github.com/binary-husky/gpt_academic.git
-cd gpt_academic
-```
-
-2. Configure API_KEY
-
-In `config.py`, configure API KEY and other settings, [special network environment settings] (https://github.com/binary-husky/gpt_academic/issues/1).
-
-(P.S. When the program is running, it will first check whether there is a secret configuration file named `config_private.py` and use the configuration in it to replace the same name in` config.py`. Therefore, if you understand our configuration reading logic, we strongly recommend that you create a new configuration file named `config_private.py` next to `config.py`, and transfer (copy) the configuration in `config.py` to `config_private.py`. `config_private.py` is not controlled by git, which can make your privacy information more secure. P.S. The project also supports configuring most options through `environment variables`, and the writing format of environment variables refers to the `docker-compose` file. Priority of read: `environment variable`>`config_private.py`>`config.py`)
-
-
-3. Install dependencies
-```sh
-# （Option I: If familiar with Python）(Python version 3.9 or above, the newer the better), note: use the official pip source or the aliyun pip source, temporary switching source method: python -m pip install -r requirements.txt - i https://mirrors.aliyun.com/pypi/simple/
-python -m pip install -r requirements.txt
-
-# （Option II: If unfamiliar with Python）Use Anaconda, the steps are also similar (https://www.bilibili.com/video/BV1rc411W7Dr):
-conda create -n gptac_venv python=3.11 # create an Anaconda environment
-conda activate gptac_venv # activate Anaconda environment
-python -m pip install -r requirements.txt # This step is the same as the pip installation
-```
-
-
If you need to support Tsinghua ChatGLM/Fudan MOSS as backend, click here to expand
-
-
-[Optional step] If you need to support Tsinghua ChatGLM/Fudan MOSS as backend, you need to install more dependencies (prerequisites: familiar with Python + have used Pytorch + computer configuration is strong):
-```sh
-# [Optional step I] Support Tsinghua ChatGLM. Tsinghua ChatGLM note: If you encounter the "Call ChatGLM fail cannot load ChatGLM parameters normally" error, refer to the following: 1: The default installation above is torch+cpu version, and cuda is used Need to uninstall torch and reinstall torch+cuda; 2: If you cannot load the model due to insufficient local configuration, you can modify the model accuracy in request_llms/bridge_chatglm.py, AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) Modify to AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True)
-python -m pip install -r request_llms/requirements_chatglm.txt
-
-# [Optional step II] Support Fudan MOSS
-python -m pip install -r request_llms/requirements_moss.txt
-git clone https://github.com/OpenLMLab/MOSS.git request_llms/moss # Note that when executing this line of code, you must be in the project root path
-
-# [Optional step III] Make sure the AVAIL_LLM_MODELS in the config.py configuration file contains the expected models. Currently, all supported models are as follows (the jittorllms series currently only supports the docker solution):
-AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing", "moss"] # + ["jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]
-```
-
-
-
-
-
-
-4. Run
-```sh
-python main.py
-```5. Testing Function Plugin
-```
-- Testing function plugin template function (requires GPT to answer what happened in history today), you can use this function as a template to implement more complex functions
- Click "[Function plugin Template Demo] On this day in history"
-```
-
-## Installation - Method 2: Using Docker
-
-1. ChatGPT only (recommended for most people)
-
-``` sh
-git clone https://github.com/binary-husky/gpt_academic.git # download the project
-cd gpt_academic # enter the path
-nano config.py # edit config.py with any text editor to configure "Proxy", "API_KEY", and "WEB_PORT" (eg 50923)
-docker build -t gpt-academic . # install
-
-# (Last step-Option 1) In a Linux environment, using `--net=host` is more convenient and faster
-docker run --rm -it --net=host gpt-academic
-# (Last step-Option 2) In macOS/windows environment, only -p option can be used to expose the port on the container (eg 50923) to the port on the host
-docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic
-```
-
-2. ChatGPT + ChatGLM + MOSS (requires familiarity with Docker)
-
-``` sh
-# Edit docker-compose.yml, delete solutions 1 and 3, and keep solution 2. Modify the configuration of solution 2 in docker-compose.yml, refer to the comments in it
-docker-compose up
-```
-
-3. ChatGPT + LLAMA + PanGu + RWKV (requires familiarity with Docker)
-``` sh
-# Edit docker-compose.yml, delete solutions 1 and 2, and keep solution 3. Modify the configuration of solution 3 in docker-compose.yml, refer to the comments in it
-docker-compose up
-```
-
-
-## Installation Method 3: Other Deployment Methods
-
-1. How to use reverse proxy URL/Microsoft Azure API
-Configure API_URL_REDIRECT according to the instructions in `config.py`.
-
-2. Remote Cloud Server Deployment (Requires Knowledge and Experience of Cloud Servers)
-Please visit [Deployment Wiki-1](https://github.com/binary-husky/gpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
-
-3. Using WSL2 (Windows Subsystem for Linux subsystem)
-Please visit [Deployment Wiki-2](https://github.com/binary-husky/gpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)
-
-4. How to run at the secondary URL (such as `http://localhost/subpath`)
-Please visit [FastAPI Operation Instructions](docs/WithFastapi.md)
-
-5. Using docker-compose to run
-Please read docker-compose.yml and follow the prompts to operate.
-
----
-# Advanced Usage
-## Customize new convenient buttons / custom function plugins
-
-1. Customize new convenient buttons (academic shortcuts)
-Open `core_functional.py` with any text editor, add an entry as follows, and then restart the program. (If the button has been added successfully and is visible, both prefixes and suffixes can be hot-modified without having to restart the program.)
-For example:
-```
-"Super English to Chinese": {
- # Prefix, will be added before your input. For example, describe your requirements, such as translation, code interpretation, polishing, etc.
- "Prefix": "Please translate the following content into Chinese, and then explain each proper noun that appears in the text with a markdown table:\n\n",
-
- # Suffix, will be added after your input. For example, with the prefix, you can enclose your input content in quotes.
- "Suffix": "",
-},
-```
-
-
-
-
-2. Custom function plugin
-
-Write powerful function plugins to perform any task you can and can't imagine.
-The difficulty of debugging and writing plugins in this project is very low. As long as you have a certain knowledge of python, you can implement your own plugin function by imitating the template we provide.
-Please refer to the [Function Plugin Guide](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97) for details.
-
----
-# Latest Update
-## New feature dynamic
-
-1. Сохранение диалогов. Вызовите "Сохранить текущий диалог" в разделе функций-плагина, чтобы сохранить текущий диалог как файл HTML, который можно прочитать и восстановить. Кроме того, вызовите «Загрузить архив истории диалога» в меню функций-плагина, чтобы восстановить предыдущую сессию. Совет: если нажать кнопку "Загрузить исторический архив диалога" без указания файла, можно просмотреть кэш исторических файлов HTML. Щелкните "Удалить все локальные записи истории диалогов", чтобы удалить все файловые кэши HTML.
-
-2. Создание отчетов. Большинство плагинов создают рабочий отчет после завершения выполнения.
-
-3. Модульный дизайн функций, простой интерфейс, но сильный функционал.
-
-4. Это проект с открытым исходным кодом, который может «сам переводить себя».
-
-5. Перевод других проектов с открытым исходным кодом - это не проблема.
-
-6. Мелкие функции декорирования [live2d](https://github.com/fghrsh/live2d_demo) (по умолчанию отключены, нужно изменить `config.py`).
-
-7. Поддержка большой языковой модели MOSS.
-
-8. Генерация изображений с помощью OpenAI.
-
-9. Анализ и подведение итогов аудиофайлов с помощью OpenAI.
-
-10. Полный цикл проверки правописания с использованием LaTeX.
-
-## Версии:
-- Версия 3.5 (Todo): использование естественного языка для вызова функций-плагинов проекта (высокий приоритет)
-- Версия 3.4 (Todo): улучшение многопоточной поддержки локальных больших моделей чата.
-- Версия 3.3: добавлена функция объединения интернет-информации.
-- Версия 3.2: функции-плагины поддерживают большое количество параметров (сохранение диалогов, анализирование любого языка программирования и одновременное запрос LLM-групп).
-- Версия 3.1: поддержка одновременного запроса нескольких моделей GPT! Поддержка api2d, сбалансированное распределение нагрузки по нескольким ключам api.
-- Версия 3.0: поддержка chatglm и других небольших LLM.
-- Версия 2.6: перестройка структуры плагинов, улучшение интерактивности, добавлено больше плагинов.
-- Версия 2.5: автоматическое обновление для решения проблемы длинного текста и переполнения токенов при обработке больших проектов.
-- Версия 2.4: (1) добавлена функция полного перевода PDF; (2) добавлена функция переключения положения ввода; (3) добавлена опция вертикального макета; (4) оптимизация многопоточности плагинов.
-- Версия 2.3: улучшение многопоточной интерактивности.
-- Версия 2.2: функции-плагины поддерживают горячую перезагрузку.
-- Версия 2.1: раскрывающийся макет.
-- Версия 2.0: использование модульных функций-плагинов.
-- Версия 1.0: базовые функции.
-
-gpt_academic Разработчик QQ-группы-2: 610599535
-
-- Известные проблемы
- - Некоторые плагины перевода в браузерах мешают работе фронтенда этого программного обеспечения
- - Высокая или низкая версия gradio может вызвать множество исключений
-
-## Ссылки и учебные материалы
-
-```
-Мы использовали многие концепты кода из других отличных проектов, включая:
-
-# Проект 1: Qinghua ChatGLM-6B:
-https://github.com/THUDM/ChatGLM-6B
-
-# Проект 2: Qinghua JittorLLMs:
-https://github.com/Jittor/JittorLLMs
-
-# Проект 3: Edge-GPT:
-https://github.com/acheong08/EdgeGPT
-
-# Проект 4: Chuanhu ChatGPT:
-https://github.com/GaiZhenbiao/ChuanhuChatGPT
-
-# Проект 5: ChatPaper:
-https://github.com/kaixindelele/ChatPaper
-
-# Больше:
-https://github.com/gradio-app/gradio
-https://github.com/fghrsh/live2d_demo
-```
\ No newline at end of file
diff --git a/toolbox.py b/toolbox.py
index 293419c..dca2673 100644
--- a/toolbox.py
+++ b/toolbox.py
@@ -1098,14 +1098,11 @@ def get_chat_handle():
def get_plugin_default_kwargs():
"""
"""
- from toolbox import get_conf, ChatBotWithCookies
-
- WEB_PORT, LLM_MODEL, API_KEY = \
- get_conf('WEB_PORT', 'LLM_MODEL', 'API_KEY')
-
+ from toolbox import ChatBotWithCookies
+ cookies = load_chat_cookies()
llm_kwargs = {
- 'api_key': API_KEY,
- 'llm_model': LLM_MODEL,
+ 'api_key': cookies['api_key'],
+ 'llm_model': cookies['llm_model'],
'top_p':1.0,
'max_length': None,
'temperature':1.0,
@@ -1120,25 +1117,21 @@ def get_plugin_default_kwargs():
"chatbot_with_cookie": chatbot,
"history": [],
"system_prompt": "You are a good AI.",
- "web_port": WEB_PORT
+ "web_port": None
}
return DEFAULT_FN_GROUPS_kwargs
def get_chat_default_kwargs():
"""
"""
- from toolbox import get_conf
-
- LLM_MODEL, API_KEY = get_conf('LLM_MODEL', 'API_KEY')
-
+ cookies = load_chat_cookies()
llm_kwargs = {
- 'api_key': API_KEY,
- 'llm_model': LLM_MODEL,
+ 'api_key': cookies['api_key'],
+ 'llm_model': cookies['llm_model'],
'top_p':1.0,
'max_length': None,
'temperature':1.0,
}
-
default_chat_kwargs = {
"inputs": "Hello there, are you ready?",
"llm_kwargs": llm_kwargs,
@@ -1150,3 +1143,6 @@ def get_chat_default_kwargs():
return default_chat_kwargs
+def get_max_token(llm_kwargs):
+ from request_llms.bridge_all import model_info
+ return model_info[llm_kwargs['llm_model']]['max_token']
\ No newline at end of file
diff --git a/version b/version
index 4e18fc8..81ad2fd 100644
--- a/version
+++ b/version
@@ -1,5 +1,5 @@
{
"version": 3.60,
"show_feature": true,
- "new_feature": "AutoGen多智能体插件测试版 <-> 修复本地模型在Windows下的加载BUG <-> 支持文心一言v4和星火v3 <-> 支持GLM3和智谱的API <-> 解决本地模型并发BUG <-> 支持动态追加基础功能按钮 <-> 新汇报PDF汇总页面 <-> 重新编译Gradio优化使用体验"
+ "new_feature": "11月12日紧急BUG修复 <-> AutoGen多智能体插件测试版 <-> 修复本地模型在Windows下的加载BUG <-> 支持文心一言v4和星火v3 <-> 支持GLM3和智谱的API <-> 解决本地模型并发BUG <-> 支持动态追加基础功能按钮 <-> 新汇报PDF汇总页面 <-> 重新编译Gradio优化使用体验"
}
+
GPT Akademisch optimiert (GPT Academic)
-
-**Wenn Ihnen dieses Projekt gefällt, geben Sie ihm bitte einen Stern; wenn Sie bessere Tastenkombinationen oder Funktions-Plugins entwickelt haben, können Sie gerne einen Pull Request eröffnen.**
-
-Wenn Sie dieses Projekt mögen, geben Sie ihm bitte einen Stern. Wenn Sie weitere nützliche wissenschaftliche Abkürzungen oder funktionale Plugins entwickelt haben, können Sie gerne ein Problem oder eine Pull-Anforderung öffnen. Wir haben auch ein README in [Englisch|](docs/README_EN.md)[日本語|](docs/README_JP.md)[한국어|](https://github.com/mldljyh/ko_gpt_academic)[Русский|](docs/README_RS.md)[Français](docs/README_FR.md), das von diesem Projekt selbst übersetzt wurde.
-Um dieses Projekt in eine beliebige Sprache mit GPT zu übersetzen, lesen Sie `multi_language.py` (experimentell).
-
-> **Hinweis**
->
-> 1. Beachten Sie bitte, dass nur Funktionserweiterungen (Schaltflächen) mit **roter Farbe** Dateien lesen können und einige Erweiterungen im **Dropdown-Menü** des Erweiterungsbereichs zu finden sind. Außerdem begrüßen wir jede neue Funktionserweiterung mit **höchster Priorität** und bearbeiten sie.
->
-> 2. Die Funktionalität jeder Datei in diesem Projekt wird in der Selbstanalyse [`self_analysis.md`](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) detailliert beschrieben. Mit der Weiterentwicklung der Versionen können Sie jederzeit die zugehörigen Funktions-Erweiterungen aufrufen, um durch Aufruf von GPT einen Selbstanalysebericht des Projekts zu erstellen. Häufig gestellte Fragen finden Sie in der [`Wiki`](https://github.com/binary-husky/gpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98). [Installationsanweisungen](#Installation).
->
-> 3. Dieses Projekt ist kompatibel und fördert die Verwendung von inländischen Sprachmodellen wie ChatGLM und RWKV, Pangu, etc. Es unterstützt das Vorhandensein mehrerer api-keys, die in der Konfigurationsdatei wie folgt angegeben werden können: `API_KEY="openai-key1,openai-key2,api2d-key3"`. Wenn ein `API_KEY` temporär geändert werden muss, geben Sie den temporären `API_KEY` im Eingabebereich ein und drücken Sie dann die Eingabetaste, um ihn zu übernehmen.Funktion | Beschreibung
---- | ---
-Ein-Klick-Polieren | Unterstützt ein-Klick-Polieren und ein-Klick-Suche nach grammatikalischen Fehlern in wissenschaftlichen Arbeiten
-Ein-Klick Chinesisch-Englisch Übersetzung | Ein-Klick Chinesisch-Englisch Übersetzung
-Ein-Klick-Code-Erklärung | Zeigt Code, erklärt Code, erzeugt Code und fügt Kommentare zum Code hinzu
-[Benutzerdefinierte Tastenkombinationen](https://www.bilibili.com/video/BV14s4y1E7jN) | Unterstützt benutzerdefinierte Tastenkombinationen
-Modulare Gestaltung | Unterstützt leistungsstarke individuelle [Funktions-Plugins](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions). Plugins unterstützen [Hot-Updates](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
-[Selbstprogramm-Analyse](https://www.bilibili.com/video/BV1cj411A7VW) | [Funktions-Plugin] [Ein-Klick Verstehen](https://github.com/binary-husky/gpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) der Quellcode dieses Projekts
-[Programmanalyse](https://www.bilibili.com/video/BV1cj411A7VW) | [Funktions-Plugin] Ein-Klick-Analyse des Projektbaums anderer Python/C/C++/Java/Lua/...-Projekte
-Lesen von Papieren, [Übersetzen](https://www.bilibili.com/video/BV1KT411x7Wn) von Papieren | [Funktions-Plugin] Ein-Klick Erklärung des gesamten LaTeX/PDF-Artikels und Erstellung einer Zusammenfassung
-LaTeX-Volltext-Übersetzung und [Polieren](https://www.bilibili.com/video/BV1FT411H7c5/) | [Funktions-Plugin] Ein-Klick-Übersetzung oder-Polieren des LaTeX-Artikels
-Bulk-Kommentargenerierung | [Funktions-Plugin] Ein-Klick Massenerstellung von Funktionskommentaren
-Markdown [Chinesisch-Englisch Übersetzung](https://www.bilibili.com/video/BV1yo4y157jV/) | [Funktions-Plugin] Haben Sie die [README](https://github.com/binary-husky/gpt_academic/blob/master/docs/README_EN.md) in den oben genannten 5 Sprachen gesehen?
-Analyse-Berichtserstellung von chat | [Funktions-Plugin] Automatische Zusammenfassung nach der Ausführung
-[Funktion zur vollständigen Übersetzung von PDF-Artikeln](https://www.bilibili.com/video/BV1KT411x7Wn) | [Funktions-Plugin] Extrahiert Titel und Zusammenfassung der PDF-Artikel und übersetzt den gesamten Text (mehrere Threads)
-[Arxiv-Assistent](https://www.bilibili.com/video/BV1LM4y1279X) | [Funktions-Plugin] Geben Sie die Arxiv-Artikel-URL ein und klicken Sie auf Eine-Klick-Übersetzung-Zusammenfassung + PDF-Download
-[Google Scholar Integrations-Assistent](https://www.bilibili.com/video/BV19L411U7ia) | [Funktions-Plugin] Geben Sie eine beliebige Google Scholar Such-URL ein und lassen Sie gpt Ihnen bei der Erstellung von [relatedworks](https://www.bilibili.com/video/BV1GP411U7Az/) helfen
-Internet-Informationen Aggregation + GPT | [Funktions-Plugin] Lassen Sie GPT eine Frage beantworten, indem es [zuerst Informationen aus dem Internet](https://www.bilibili.com/video/BV1om4y127ck/) sammelt und so die Informationen nie veralten
-Anzeige von Formeln / Bildern / Tabellen | Zeigt Formeln in beiden Formen, [TeX-Format und gerendeter Form](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png), unterstützt Formeln und Code-Highlights
-Unterstützung von PlugIns mit mehreren Threads | Unterstützt den Aufruf mehrerer Threads in Chatgpt, um Text oder Programme [Batch zu verarbeiten](https://www.bilibili.com/video/BV1FT411H7c5/)
-Starten Sie das dunkle Gradio-[Thema](https://github.com/binary-husky/gpt_academic/issues/173) | Fügen Sie ```/?__theme=dark``` an das Ende der Browser-URL an, um das dunkle Thema zu aktivieren
-[Unterstützung für mehrere LLM-Modelle](https://www.bilibili.com/video/BV1wT411p7yf), [API2D](https://api2d.com/) Interface-Unterstützung | Das Gefühl, gleichzeitig von GPT3.5, GPT4, [Tshinghua ChatGLM](https://github.com/THUDM/ChatGLM-6B), [Fudan MOSS](https://github.com/OpenLMLab/MOSS) bedient zu werden, muss toll sein, oder?
-Zugriff auf weitere LLM-Modelle, Unterstützung von [huggingface deployment](https://huggingface.co/spaces/qingxu98/gpt-academic) | Hinzufügen der Newbing-Schnittstelle (neues Bing), Einführung der Unterstützung von [Jittorllms](https://github.com/Jittor/JittorLLMs) der Tsinghua-Universität, [LLaMA](https://github.com/facebookresearch/llama), [RWKV](https://github.com/BlinkDL/ChatRWKV) und [Pangu alpha](https://openi.org.cn/pangu/)
-Weitere neue Funktionen (wie Bildgenerierung) …… | Siehe Ende dieses Dokuments ……
-
-- Neue Oberfläche (Ändern Sie die LAYOUT-Option in `config.py`, um zwischen "Seitenlayout" und "Oben-unten-Layout" zu wechseln)
-
-
-
-