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# https://docs.streamlit.io/knowledge-base/tutorials/build-conversational-apps | |
import os | |
import time | |
import openai | |
import requests | |
import streamlit as st | |
from models import bloom | |
from utils.util import * | |
# from streamlit_chat import message | |
st.title("Welcome to RegBotBeta") | |
st.header("Powered by `LlamaIndex🦙` and `OpenAI API`") | |
if "messages" not in st.session_state: | |
st.session_state.messages = [] | |
index = None | |
api_key = st.text_input("Enter your OpenAI API key here:", type="password") | |
if api_key: | |
resp = validate(api_key) | |
if "error" in resp.json(): | |
st.info("Invalid Token! Try again.") | |
else: | |
st.info("Success") | |
os.environ["OPENAI_API_KEY"] = api_key | |
openai.api_key = api_key | |
index = create_index(bloom) | |
st.write("---") | |
if index: | |
# Display chat messages from history on app rerun | |
for message in st.session_state.messages: | |
with st.chat_message(message["role"]): | |
st.markdown(message["content"]) | |
if prompt := st.chat_input("Say something"): | |
# Display user message in chat message container | |
st.chat_message("user").markdown(prompt) | |
# Add user message to chat history | |
st.session_state.messages.append({"role": "user", "content": prompt}) | |
with st.spinner("Processing your query..."): | |
bot_response = get_response(index, prompt) | |
print("bot: ", bot_response) | |
# Display assistant response in chat message container | |
with st.chat_message("assistant"): | |
message_placeholder = st.empty() | |
full_response = "" | |
# simulate the chatbot "thinking" before responding | |
# (or stream its response) | |
for chunk in bot_response.split(): | |
full_response += chunk + " " | |
time.sleep(0.05) | |
# add a blinking cursor to simulate typing | |
message_placeholder.markdown(full_response + "▌") | |
message_placeholder.markdown(full_response) | |
# st.markdown(response) | |
# Add assistant response to chat history | |
st.session_state.messages.append( | |
{"role": "assistant", "content": full_response} | |
) | |
# Scroll to the bottom of the chat container | |
# st.markdown( | |
# """ | |
# <script> | |
# const chatContainer = document.getElementsByClassName("css-1n76uvr")[0]; | |
# chatContainer.scrollTop = chatContainer.scrollHeight; | |
# </script> | |
# """, | |
# unsafe_allow_html=True, | |
# ) | |