add installation info
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@ -199,8 +199,7 @@ class LocalDocQA:
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self.vector_store.save_local(vs_path)
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self.vector_store.save_local(vs_path)
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return vs_path, loaded_files
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return vs_path, loaded_files
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else:
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else:
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self.vector_store = FAISS.load_local(vs_path, text2vec)
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raise RuntimeError("文件加载失败,请检查文件格式是否正确")
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return vs_path, loaded_files
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def get_loaded_file(self, vs_path):
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def get_loaded_file(self, vs_path):
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ds = self.vector_store.docstore
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ds = self.vector_store.docstore
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@ -2,9 +2,14 @@ from toolbox import CatchException, update_ui, ProxyNetworkActivate, update_ui_l
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from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_files_from_everything
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from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_files_from_everything
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install_msg ="""
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install_msg ="""
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pip3 install torch --index-url https://download.pytorch.org/whl/cpu
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pip3 install transformers --upgrade
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1. python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
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pip3 install langchain sentence-transformers unstructured[all-docs] faiss-cpu nltk beautifulsoup4 bitsandbytes tabulate icetk --upgrade
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2. python -m pip install transformers protobuf langchain sentence-transformers faiss-cpu nltk beautifulsoup4 bitsandbytes tabulate icetk --upgrade
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3. python -m pip install unstructured[all-docs] --upgrade
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4. python -c 'import nltk; nltk.download("punkt")'
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"""
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"""
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@CatchException
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@CatchException
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