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Update app.py
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app.py
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@@ -8,9 +8,8 @@ from langchain.chat_models import ChatOpenAI
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from langchain.memory import ConversationBufferMemory
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from langchain.chains import ConversationalRetrievalChain
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from htmlTemplates import css, bot_template, user_template
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from langchain.llms import HuggingFaceHub
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from huggingface_hub import snapshot_download
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from llama_cpp import Llama
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def get_pdf_text(pdf_docs):
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text = ""
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@@ -40,17 +39,14 @@ def get_vectorstore(text_chunks):
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def get_conversation_chain(vectorstore):
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#llm = HuggingFaceHub(repo_id="tinkoff-ai/ruDialoGPT-medium", model_kwargs={"temperature": 0.1,
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#"top_k": 10,
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# "top_p": 0.95,})
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#"max_length": 512})
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repo_name = "IlyaGusev/saiga2_7b_gguf"
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model_name = "model-q2_K.gguf"
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snapshot_download(repo_id=repo_name, local_dir=".", allow_patterns=model_name)
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llm =
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memory = ConversationBufferMemory(
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memory_key='chat_history', return_messages=True)
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from langchain.memory import ConversationBufferMemory
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from langchain.chains import ConversationalRetrievalChain
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from htmlTemplates import css, bot_template, user_template
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from langchain.llms import HuggingFaceHub, LlamaCpp
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from huggingface_hub import snapshot_download, hf_hub_download
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def get_pdf_text(pdf_docs):
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text = ""
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def get_conversation_chain(vectorstore):
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repo_name = "IlyaGusev/saiga2_7b_gguf"
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model_name = "model-q2_K.gguf"
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snapshot_download(repo_id=repo_name, local_dir=".", allow_patterns=model_name)
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llm = LlamaCpp(model_path=model_name)
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#llm = ChatOpenAI()
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memory = ConversationBufferMemory(
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memory_key='chat_history', return_messages=True)
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