ryanrwatkins commited on
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b0a9bdd
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1 Parent(s): 4cb9ad4

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -112,7 +112,7 @@ def submit_message(prompt, prompt_template, temperature, max_tokens, context_len
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  #completion = completion.run(query)
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  # from https://blog.devgenius.io/chat-with-document-s-using-openai-chatgpt-api-and-text-embedding-6a0ce3dc8bc8
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  completion_chain = load_qa_chain(ChatOpenAI(temperature=temperature, max_tokens=max_tokens, model_name="gpt-3.5-turbo"), chain_type="stuff" )
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- completion = RetrievalQA(combine_documents_chain=completion_chain, retriever=vectordb.as_retriever(), return_source_documents=True)
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  #completion = RetrievalQA.from_chain_type(llm=ChatOpenAI(temperature=temperature, max_tokens=max_tokens, model_name="gpt-3.5-turbo"), chain_type="stuff", retriever=vectordb.as_retriever(), return_source_documents=True)
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  query = str(system_prompt + history[-context_length*2:] + [prompt_msg])
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  #completion = completion({"query": query})
 
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  #completion = completion.run(query)
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  # from https://blog.devgenius.io/chat-with-document-s-using-openai-chatgpt-api-and-text-embedding-6a0ce3dc8bc8
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  completion_chain = load_qa_chain(ChatOpenAI(temperature=temperature, max_tokens=max_tokens, model_name="gpt-3.5-turbo"), chain_type="stuff" )
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+ completion = RetrievalQA(combine_documents_chain=completion_chain, retriever=vectordb.as_retriever(), return_source_documents=False)
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  #completion = RetrievalQA.from_chain_type(llm=ChatOpenAI(temperature=temperature, max_tokens=max_tokens, model_name="gpt-3.5-turbo"), chain_type="stuff", retriever=vectordb.as_retriever(), return_source_documents=True)
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  query = str(system_prompt + history[-context_length*2:] + [prompt_msg])
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  #completion = completion({"query": query})