CONVERSATIONAL_RAG_FINAL / chat_interface.py
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Create chat_interface.py
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import streamlit as st
from api_utils import get_api_response
def display_chat_interface():
# Chat interface
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
if prompt := st.chat_input("Query:"):
st.session_state.messages.append({"role": "user", "content": prompt})
with st.chat_message("user"):
st.markdown(prompt)
with st.spinner("Generating response..."):
response = get_api_response(prompt, st.session_state.session_id, st.session_state.model)
if response:
st.session_state.session_id = response.get('session_id')
st.session_state.messages.append({"role": "assistant", "content": response['answer']})
with st.chat_message("assistant"):
st.markdown(response['answer'])
with st.expander("Details"):
st.subheader("Generated Answer")
st.code(response['answer'])
st.subheader("Model Used")
st.code(response['model'])
st.subheader("Session ID")
st.code(response['session_id'])
else:
st.error("Failed to get a response from the API. Please try again.")