update embedding define in local_doc_qa.py and langchain version in requirements.txt
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@ -33,6 +33,7 @@ def load_file(filepath):
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class LocalDocQA:
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llm: object = None
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embeddings: object = None
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top_k: int = VECTOR_SEARCH_TOP_K
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def init_cfg(self,
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embedding_model: str = EMBEDDING_MODEL,
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@ -49,9 +50,10 @@ class LocalDocQA:
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use_ptuning_v2=use_ptuning_v2)
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self.llm.history_len = llm_history_len
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self.embeddings = HuggingFaceEmbeddings(model_name=embedding_model_dict[embedding_model], )
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self.embeddings.client = sentence_transformers.SentenceTransformer(self.embeddings.model_name,
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device=embedding_device)
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self.embeddings = HuggingFaceEmbeddings(model_name=embedding_model_dict[embedding_model],
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model_kwargs={'device': embedding_device})
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# self.embeddings.client = sentence_transformers.SentenceTransformer(self.embeddings.model_name,
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# device=embedding_device)
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self.top_k = top_k
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def init_knowledge_vector_store(self,
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@ -1,4 +1,4 @@
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langchain>=0.0.124
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langchain>=0.0.146
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transformers==4.27.1
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unstructured[local-inference]
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layoutparser[layoutmodels,tesseract]
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@ -9,4 +9,4 @@ icetk
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cpm_kernels
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faiss-cpu
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gradio>=3.25.0
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detectron2@git+https://github.com/facebookresearch/detectron2.git@v0.6#egg=detectron2
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#detectron2@git+https://github.com/facebookresearch/detectron2.git@v0.6#egg=detectron2
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