Create app.py

app.py

@@ -0,0 +1,88 @@
+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")
+    
+    if st.button("Save User Info"):
+        st.session_state.user_data = {
+            "state": state if state else None,
+            "gender": gender if gender else None
+        }
+        st.success("User information saved!")
+
+    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()