Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,100 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import requests
+import time
 
-"""
-# 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])),
-    ))
+# =============================
+# CONFIG
+# =============================
+
+BACKEND_URL = "https://YOUR_BACKEND_SPACE_NAME.hf.space/research"
+REQUEST_TIMEOUT = 300  # seconds
+
+# =============================
+# PAGE SETUP
+# =============================
+
+st.set_page_config(
+    page_title="Research Agent",
+    page_icon="📚",
+    layout="wide"
+)
+
+st.title("📚 Autonomous Research Agent")
+st.caption("Decompose → Search → Filter → Synthesize. No fluff.")
+
+# =============================
+# STATE
+# =============================
+
+if "result" not in st.session_state:
+    st.session_state.result = None
+
+if "title" not in st.session_state:
+    st.session_state.title = None
+
+# =============================
+# INPUT
+# =============================
+
+query = st.text_area(
+    label="Research Query",
+    placeholder="e.g. Compatibility issues between LangChain, Python 3.12, and Groq LLMs",
+    height=120
+)
+
+col1, col2 = st.columns([1, 5])
+
+with col1:
+    run_clicked = st.button("🚀 Run Research", use_container_width=True)
+
+# =============================
+# ACTION
+# =============================
+
+if run_clicked:
+    if not query.strip():
+        st.warning("You need to enter a research query. This is not optional.")
+    else:
+        with st.spinner("Running research pipeline..."):
+            try:
+                response = requests.post(
+                    BACKEND_URL,
+                    json={"query": query},
+                    timeout=REQUEST_TIMEOUT
+                )
+
+                if response.status_code != 200:
+                    st.error(f"Backend error ({response.status_code}). Check logs.")
+                else:
+                    payload = response.json()
+                    st.session_state.title = payload.get("title", "Untitled")
+                    st.session_state.result = payload.get("report", "")
+
+            except requests.exceptions.Timeout:
+                st.error("Backend timed out. Either it's slow or dead.")
+            except Exception as e:
+                st.error(f"Unexpected failure: {str(e)}")
+
+# =============================
+# OUTPUT
+# =============================
+
+if st.session_state.result:
+    st.divider()
+
+    st.subheader(st.session_state.title)
+    st.markdown(st.session_state.result)
+
+    st.download_button(
+        label="⬇️ Download Markdown",
+        data=st.session_state.result,
+        file_name=f"{st.session_state.title}.md",
+        mime="text/markdown"
+    )
+
+# =============================
+# FOOTER
+# =============================
+
+st.divider()
+st.caption("Frontend-only Space. All intelligence lives in the backend. As it should.")