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import streamlit as st
import requests
import json
from typing import List, Dict, Any
# Constants
API_URL = "https://arpit-bansal-healthbridge.hf.space/retrieve"
# Session state initialization
if "messages" not in st.session_state:
st.session_state.messages = []
if "previous_state" not in st.session_state:
st.session_state.previous_state = None
if "message_counter" not in st.session_state:
st.session_state.message_counter = 0
def query_api(user_query: str) -> str:
"""Send request to the FastAPI backend and return response"""
payload = {
"query": user_query,
"previous_state": st.session_state.previous_state,
"user_data": st.session_state.get("user_data", None)
}
try:
response = requests.post(API_URL, json=payload)
response.raise_for_status()
result = response.json()
# Update previous state with full conversation history
st.session_state.previous_state = st.session_state.messages
return result["response"]
except requests.exceptions.RequestException as e:
return f"Error: {str(e)}"
# App UI
st.title("HealthBridge")
# User info sidebar
with st.sidebar:
st.header("User Information")
state = st.text_input("India-State", key="state_input")
gender = st.selectbox("Gender", ["", "Male", "Female", "Other", "Prefer not to say"], key="gender_input")
style = st.selectbox("Style", ["Normal", "concise", "explanatory"], key="style_input")
if st.button("Save User Info"):
st.session_state.user_data = {
"state": state if state else None,
"gender": gender if gender else None,
"style": style if style else "Normal"
}
st.success("User information saved!")
st.markdown('---')
st.caption("tells the information about healthcare and wellbeing schemes in India, based on your state")
st.caption("currently support : National schemes, Madhya Pradesh, Himachal Pradesh, Uttar Pradesh, 8 Union Territories.")
st.markdown('---')
st.caption("It's a preliminary stage AI, for any health consult, visit your doctor.")
st.caption("We currently support only few states in India, will increase the support soon.")
st.caption("Developed by: Arpit Bansal")
# Display chat history
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.write(message["content"])
# Chat input
if prompt := st.chat_input("Ask something..."):
if st.session_state.message_counter >= 15:
st.session_state.messages = []
st.session_state.previous_state = None
st.session_state.message_counter = 0
st.info("Starting a new conversation due to message limit")
st.experimental_rerun()
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": prompt})
st.session_state.message_counter += 1
with st.chat_message("user"):
st.write(prompt)
# Get response from API
with st.chat_message("assistant"):
with st.spinner("Thinking..."):
response = query_api(prompt)
st.write(response)
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": response})
# Clear chat button
if st.button("Clear Chat"):
st.session_state.messages = []
st.session_state.previous_state = None
st.session_state.message_counter = 0
st.experimental_rerun() |