shukdevdatta123 commited on
Commit
564ef30
·
verified ·
1 Parent(s): 13faa7d

Update generate_answer.py

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Files changed (1) hide show
  1. generate_answer.py +5 -3
generate_answer.py CHANGED
@@ -2,10 +2,12 @@ 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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  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
@@ -61,7 +63,7 @@ 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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@@ -83,11 +85,11 @@ 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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  result = qa_chain({"query": query})
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  if not is_response_complete(result['result']):
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  result['result'] += " This is the end of the response. Let me know if you need further clarification."
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- return result['result']
 
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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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  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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  result = qa_chain({"query": query})
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  if not is_response_complete(result['result']):
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  result['result'] += " This is the end of the response. Let me know if you need further clarification."
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+ return result['result']