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import json | |
import streamlit as st | |
from chatbot.utils import download_test_data | |
from chatbot.utils import load_data | |
# Initialize message history | |
st.header("Chat with André's research 💬 📚") | |
if "messages" not in st.session_state.keys(): # Initialize the chat message history | |
st.session_state.messages = [{"role": "assistant", "content": "Ask me a question about André's research!"}] | |
# Load config values | |
with open(r"config.json") as config_file: | |
config_details = json.load(config_file) | |
def main(): | |
# setup dataset | |
download_test_data() | |
index = load_data(config_details) | |
chat_engine = index.as_chat_engine(chat_mode="condense_question", verbose=True) | |
if prompt := st.chat_input("Your question"): # Prompt for user input and save to chat history | |
st.session_state.messages.append({"role": "user", "content": prompt}) | |
for message in st.session_state.messages: # Display the prior chat messages | |
with st.chat_message(message["role"]): | |
st.write(message["content"]) | |
# If last message is not from assistant, generate a new response | |
if st.session_state.messages[-1]["role"] != "assistant": | |
with st.chat_message("assistant"): | |
with st.spinner("Thinking..."): | |
response = chat_engine.chat(prompt) | |
st.write(response.response) | |
message = {"role": "assistant", "content": response.response} | |
st.session_state.messages.append(message) # Add response to message history | |
if __name__ == "__main__": | |
main() | |