Upload app.py

frontend/app.py

@@ -0,0 +1,36 @@
+
+import streamlit as st
+import requests
+import pandas as pd
+
+st.set_page_config(page_title="ZeroSearch Medical Q&A", layout="wide")
+st.title("🩺 ZeroSearch Medical Q&A – Google‑Free Clinical Answers")
+
+API_URL = st.secrets.get("API_URL", "http://localhost:8000/ask")
+
+query = st.text_input(
+    "Enter a clinical question:",
+    placeholder="e.g. What are the first‑line treatments for hypertension in pregnancy?",
+)
+
+if st.button("Search") and query:
+    with st.spinner("Consulting internal medical knowledge…"):
+        resp = requests.post(API_URL, json={"question": query})
+    if resp.status_code == 200:
+        data = resp.json()
+
+        st.subheader("Answer")
+        st.write(data["answer"])
+
+        st.subheader("UMLS Concepts")
+        if data["umls"]:
+            st.dataframe(pd.DataFrame(data["umls"]))
+        else:
+            st.info("No UMLS concepts detected.")
+
+        st.subheader("Simulated Search Documents")
+        for i, doc in enumerate(data["docs"], 1):
+            with st.expander(f"Document {i}"):
+                st.write(doc)
+    else:
+        st.error(f"API error: {resp.status_code} – {resp.text}")