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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
with st.spinner("Initializing vector index ..."):
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,
# )
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