64 lines
3.4 KiB
Python
64 lines
3.4 KiB
Python
from toolbox import CatchException, update_ui
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from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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@CatchException
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def 交互功能模板函数(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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"""
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txt 输入栏用户输入的文本,例如需要翻译的一段话,再例如一个包含了待处理文件的路径
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llm_kwargs gpt模型参数, 如温度和top_p等, 一般原样传递下去就行
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plugin_kwargs 插件模型的参数, 如温度和top_p等, 一般原样传递下去就行
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chatbot 聊天显示框的句柄,用于显示给用户
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history 聊天历史,前情提要
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system_prompt 给gpt的静默提醒
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user_request 当前用户的请求信息(IP地址等)
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"""
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history = [] # 清空历史,以免输入溢出
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chatbot.append(("这是什么功能?", "交互功能函数模板。在执行完成之后, 可以将自身的状态存储到cookie中, 等待用户的再次调用。"))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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state = chatbot._cookies.get('plugin_state_0001', None) # 初始化插件状态
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if state is None:
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chatbot._cookies['lock_plugin'] = 'crazy_functions.交互功能函数模板->交互功能模板函数' # 赋予插件锁定 锁定插件回调路径,当下一次用户提交时,会直接转到该函数
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chatbot._cookies['plugin_state_0001'] = 'wait_user_keyword' # 赋予插件状态
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chatbot.append(("第一次调用:", "请输入关键词, 我将为您查找相关壁纸, 建议使用英文单词, 插件锁定中,请直接提交即可。"))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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if state == 'wait_user_keyword':
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chatbot._cookies['lock_plugin'] = None # 解除插件锁定,避免遗忘导致死锁
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chatbot._cookies['plugin_state_0001'] = None # 解除插件状态,避免遗忘导致死锁
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# 解除插件锁定
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chatbot.append((f"获取关键词:{txt}", ""))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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page_return = get_image_page_by_keyword(txt)
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inputs=inputs_show_user=f"Extract all image urls in this html page, pick the first 5 images and show them with markdown format: \n\n {page_return}"
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gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
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inputs=inputs, inputs_show_user=inputs_show_user,
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llm_kwargs=llm_kwargs, chatbot=chatbot, history=[],
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sys_prompt="When you want to show an image, use markdown format. e.g. . If there are no image url provided, answer 'no image url provided'"
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)
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chatbot[-1] = [chatbot[-1][0], gpt_say]
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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# ---------------------------------------------------------------------------------
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def get_image_page_by_keyword(keyword):
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import requests
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from bs4 import BeautifulSoup
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response = requests.get(f'https://wallhaven.cc/search?q={keyword}', timeout=2)
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res = "image urls: \n"
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for image_element in BeautifulSoup(response.content, 'html.parser').findAll("img"):
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try:
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res += image_element["data-src"]
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res += "\n"
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except:
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pass
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return res
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