app.py

import json
import os
import streamlit as st
import random
import time
import requests
from dotenv import load_dotenv

load_dotenv()

# Streamed response emulator
def response_generator(query):
    global conversation_id
    word = ''

    res =requests.post(
        f"{os.environ['api_url']}",
        headers={
            'Content-Type': 'application/json',
            'Authorization': f"Bearer {os.environ['api_key']}"
        },
        json={
            "inputs": {},
            "query": query,
            "response_mode": "blocking",
            "conversation_id": st.session_state['conversation_id'],
            "user": "abc-123",
        }
    )
    if res.status_code == 200:
        data = json.loads(res.text)

        st.session_state['conversation_id'] = data['conversation_id']

        answer = data.get('answer','Unable to answer at the moment')
    else:
        answer =  'Error'
    
    for word in answer.split():
            yield word + " "
            time.sleep(0.05)

st.title("Ask Amy")

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})