Check streaming
Browse filesLast good version is the chatgpt
app.py
CHANGED
@@ -122,7 +122,7 @@ def app():
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}
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conversational_qa_chain = _inputs | _context | ANSWER_PROMPT | llm
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st.header("
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.write(message["content"])
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@@ -140,19 +140,29 @@ def app():
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with st.spinner("Thinking..."):
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for _ in range(3): # Retry up to 3 times
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try:
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-
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{
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"question": prompts2,
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"chat_history": chistory,
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}
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)
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-
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-
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-
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break
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except Exception as e:
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st.error(f"An error occurred: {e}")
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time.sleep(2) # Wait 2 seconds before retrying
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if __name__ == '__main__':
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app()
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}
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conversational_qa_chain = _inputs | _context | ANSWER_PROMPT | llm
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+
st.header("Ask Away!")
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.write(message["content"])
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with st.spinner("Thinking..."):
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for _ in range(3): # Retry up to 3 times
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try:
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response_generator = stream_conversational_qa_chain(
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{
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"question": prompts2,
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"chat_history": chistory,
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}
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)
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message_content = ""
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for response_part in response_generator:
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message_content += response_part
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st.chat_message("assistant", message_content)
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st.session_state.messages.append({"role": "assistant", "content": message_content})
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break
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except Exception as e:
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st.error(f"An error occurred: {e}")
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time.sleep(2) # Wait 2 seconds before retrying
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def stream_conversational_qa_chain(inputs):
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try:
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response = conversational_qa_chain.invoke(inputs)
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for part in response:
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yield part
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except Exception as e:
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raise e
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if __name__ == '__main__':
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app()
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