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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}")
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