import streamlit as st from model import Web_qa from color import print_colorful_msg import time def chatbot_response(user_input): # Open AI GPT-3 and Google T5 start_time = time.time() print_colorful_msg(f"User Input: {user_input}", color='green') res = Web_qa(user_input) response = res['result'] metadata = [i.metadata for i in res.get("source_documents", [])] end_time = time.time() response_time = end_time - start_time print_colorful_msg(f"Response Time: {response_time} seconds", color='yellow') return response, metadata, res.get('source_documents', []) # def chatbot_response(user_input): # Hugging Face Misral model # start_time = time.time() # print_colorful_msg(f"User Input: {user_input}", color='green') # res = Web_qa(user_input) # print_colorful_msg(f"Response: {res}", color='blue') # response = res["result"].split(": Let me think about it...")[-1] # metadata = [i.metadata for i in res.get("source_documents", [])] # end_time = time.time() # response_time = end_time - start_time # print_colorful_msg(f"Response Time: {response_time} seconds", color='yellow') # return response, metadata, res.get('source_documents', []) def main(): print_colorful_msg("Starting chatbot main function ...", color='blue') st.title("ATrad Chatbot") user_input = st.text_input("Enter your message:") if st.button("Send"): response, metadata, source_documents = chatbot_response(user_input) st.text_area("Chatbot Response:", value=response, height=200) st.markdown("### Source Documents:") if metadata: for value in metadata: st.write(f"{value}") else: st.write("No metadata available.") # st.markdown("### Source Documents:") if source_documents: for doc in source_documents: pass # st.write(doc) else: st.write("No source documents found.") print_colorful_msg("End Chatbot Response...", color='blue') if __name__ == "__main__": main()