Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,75 @@
-import altair as alt
-import numpy as np
-import pandas as pd
+
 import streamlit as st
+import random
+from constants import *
+import tempfile
+from get_graph import create_workflow
+
+# Page config
+st.set_page_config(
+    page_title="🏥 Medical Assistant",
+    page_icon="🏥",
+    layout="centered"
+)
+
+# Title
+st.title(st_title)
+st.markdown(st_markdown)
+
+
+workflow = create_workflow()
+
+
+if "messages" not in st.session_state:
+    st.session_state.messages = [
+        {"role": "assistant", "content": st_welcome_message}
+    ]
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+
+
+if prompt := st.chat_input("Ask a medical question..."):
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    
+    with st.chat_message("assistant"):
+        with st.spinner(random.choice(spinner_messages)):
+
+            try:
+                result = workflow.invoke({
+                    "question": prompt,
+                    "answer": "",
+                    "decision": ""
+                })
+                
+                response = result['answer']
+                
+                route_used = result.get('decision', 'Unknown')
+                if route_used == "EMERGENCY":
+                    st.error(f"🚨 Emergency detected!")
+                elif route_used == "RAG":
+                    st.info("📚 Using medical knowledge base")
+                else:
+                    st.info("💬 General response")
+                
+                st.markdown(response)
+                
+            except Exception as e:
+                error_msg = st_error_message
+                st.error(error_msg)
+                response = error_msg
+                st.error(f"Error: {str(e)}")
+    
+    st.session_state.messages.append({"role": "assistant", "content": response})
+
+
+with st.sidebar:
+    st.header("ℹ️ Information")
+    st.write(sidebar_messages)
+    st.button("Clear Chat", on_click=lambda: st.session_state.pop("messages", None), help="Clear the chat history")
 
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))