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Update generate_answer.py
Browse files- generate_answer.py +2 -4
generate_answer.py
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@@ -2,12 +2,10 @@ import os
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from glob import glob
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import openai
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from dotenv import load_dotenv
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-
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from langchain.embeddings import OpenAIEmbeddings
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from langchain.vectorstores import Chroma
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from langchain.document_loaders import PyPDFLoader
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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-
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from langchain_community.chat_models import ChatOpenAI
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from langchain.chains import RetrievalQA
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from langchain.memory import ConversationBufferMemory
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@@ -63,7 +61,7 @@ class VectorDB:
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chunks = text_splitter.split_documents(pdf_docs)
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return Chroma.from_documents(chunks, OpenAIEmbeddings())
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-
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class ConversationalRetrievalChain:
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"""Class to manage the QA chain setup."""
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@@ -85,7 +83,7 @@ class ConversationalRetrievalChain:
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retriever=retriever,
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memory=memory,
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)
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-
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def with_pdf_chatbot(messages):
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query = messages[-1]['content'].strip()
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qa_chain = ConversationalRetrievalChain().create_chain()
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from glob import glob
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import openai
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from dotenv import load_dotenv
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from langchain.embeddings import OpenAIEmbeddings
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from langchain.vectorstores import Chroma
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from langchain.document_loaders import PyPDFLoader
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain_community.chat_models import ChatOpenAI
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from langchain.chains import RetrievalQA
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from langchain.memory import ConversationBufferMemory
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chunks = text_splitter.split_documents(pdf_docs)
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return Chroma.from_documents(chunks, OpenAIEmbeddings())
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+
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class ConversationalRetrievalChain:
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"""Class to manage the QA chain setup."""
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retriever=retriever,
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memory=memory,
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)
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+
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def with_pdf_chatbot(messages):
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query = messages[-1]['content'].strip()
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qa_chain = ConversationalRetrievalChain().create_chain()
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