app.py

import os
import streamlit as st
import time
from dotenv import load_dotenv
from huggingface_hub import Repository
from huggingface_hub import login


load_dotenv()

login(token = os.environ['HF_TOKEN'])

repo = Repository(
    local_dir="chatbot_function",
    repo_type="dataset",
    clone_from=os.environ['DATASET'],
    token=True
)
repo.git_pull()

from chatbot_function.chatbot import answer




# Streamed response emulator
def response_generator(query):
    ans = answer(query)
    
    for word in ans.split(' '):
            yield word + " "
            time.sleep(0.05)

st.title("Nirvana Chatbot")

if 'conversation_id' not in st.session_state:
    st.session_state['conversation_id'] = ''

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# 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"])

# Accept user input
if prompt := st.chat_input("What is up?"):
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(prompt)

    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        response = st.write_stream(response_generator(prompt))

    # Add assistant response to chat history
    st.session_state.messages.append({"role": "assistant", "content": response})