WIP before LFS migrate

README.backup

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+---
+title: Grants RAG Finder
+emoji: 🧭
+colorFrom: blue
+colorTo: yellow
+sdk: streamlit
+app_file: app/ui_streamlit.py
+pinned: false
+---
+
+# Grants Discovery RAG App (v6.2 hotfix)
+
+- Desktop paths baked in
+- Grants.gov API + topic routes (General, Elderly, Prison, Evangelism, Vehicles, FTA 5310)
+- Makefile helpers: `make ps`, `make stop`, `make restart`
+- **Hotfix**: corrected Streamlit write line (single line, no syntax error)
+
+## One-Time Setup
+```bash
+cd ~/Desktop
+unzip ~/Downloads/grants_rag_app_desktop_v6_2.zip -d ~/Desktop/
+cd /Users/gen.overseerlupo/Desktop/grants_rag_app
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -U pip wheel
+pip install -r requirements.txt
+cp .env.example .env
+open -a TextEdit .env config/sources.yaml

app/ui_streamlit.py.bak

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+# app/ui_streamlit.py
+import os, json
+from pathlib import Path
+import streamlit as st
+
+from app.main import get_env, ensure_index_exists
+from app.search import search
+
+# Streamlit config should be the first Streamlit call
+st.set_page_config(page_title="Grants Discovery RAG", layout="wide")
+
+# Environment + index
+_env = get_env()
+ensure_index_exists(_env)
+
+# ---------- helpers ----------
+def _dedup_records(rows):
+    seen, out = set(), []
+    for r in rows or []:
+        k = r.get("id") or r.get("url") or r.get("title")
+        if not k or k in seen:
+            continue
+        seen.add(k)
+        out.append(r)
+    return out
+# ---------- end helpers ----------
+
+# ---------- optional diagnostics ----------
+with st.expander("Diagnostics (optional)", expanded=False):
+    idx = Path(_env["INDEX_DIR"])
+    st.write("INDEX_DIR:", str(idx))
+    st.write("faiss.index exists:", (idx / "faiss.index").exists())
+    st.write("meta.json exists:", (idx / "meta.json").exists())
+    if (idx / "meta.json").exists():
+        try:
+            meta = json.loads((idx / "meta.json").read_text())
+            st.write("meta.json count:", len(meta))
+            st.write("meta head:", [{"id": m.get("id"), "title": m.get("title")} for m in meta[:2]])
+        except Exception as e:
+            st.error(f"Failed to read meta.json: {e!r}")
+    try:
+        demo = search("transportation", _env, top_k=3, filters={})
+        st.write("sample search('transportation') results:", len(demo))
+        if demo:
+            st.write(demo[:3])
+    except Exception as e:
+        st.error(f"search() raised: {e!r}")
+# ---------- end diagnostics ----------
+
+st.title("Grants Discovery RAG (Capacity Building)")
+
+preset = st.radio(
+    "Quick topic:",
+    ["General", "Elderly", "Prison Ministry", "Evangelism", "Vehicles/Transport", "FTA 5310"],
+    horizontal=True
+)
+
+default_q = {
+    "General": "capacity building",
+    "Elderly": "capacity building for seniors and aging services",
+    "Prison Ministry": "capacity building for reentry and prison ministry",
+    "Evangelism": "capacity building for faith and community outreach",
+    "Vehicles/Transport": "capacity building transportation vehicles vans buses mobility",
+    "FTA 5310": "5310 Enhanced Mobility Seniors Individuals with Disabilities",
+}.get(preset, "capacity building")
+
+# --- controls ---
+q = st.text_input("Search query", value=default_q)
+
+# No defaults -> no filtering unless the user selects something
+geo = st.multiselect("Geo filter (optional)", options=["US", "MD", "MA"], default=[])
+categories = st.multiselect(
+    "Category filter (optional)",
+    options=["capacity_building", "elderly", "prison_ministry", "evangelism", "transportation", "vehicle"],
+    default=[]
+)
+
+top_k = st.slider("Results", 5, 50, 15)
+
+# Build filters only when selected
+filters = {}
+if geo:
+    filters["geo"] = geo
+if categories:
+    filters["categories"] = categories  # <- use 'categories' key (not 'cats')
+
+col1, col2 = st.columns([1, 1])
+
+with col1:
+    if st.button("Search"):
+        try:
+            results = search(q, _env, top_k=top_k, filters=filters)
+            results = _dedup_records(results)
+            st.session_state["results"] = results
+        except Exception as e:
+            st.error(str(e))
+
+with col2:
+    if st.button("Export Results to CSV"):
+        results = st.session_state.get("results", [])
+        if not results:
+            st.warning("No results to export. Run a search first.")
+        else:
+            os.makedirs(_env["EXPORT_DIR"], exist_ok=True)
+            out_path = os.path.join(_env["EXPORT_DIR"], "results.csv")
+            import pandas as pd
+            pd.DataFrame(results).to_csv(out_path, index=False)
+            st.success(f"Exported to {out_path}")
+
+st.markdown("---")
+
+results = st.session_state.get("results", [])
+if results:
+    st.caption(f"Results: {len(results)}")
+    for r in results:
+        title = r.get("title", "(no title)")
+        url = r.get("url", "")
+        cats = r.get("categories") or r.get("cats") or []
+        geo_tags = r.get("geo") or []
+
+        st.markdown(f"### {title}")
+        st.write(f"**Source:** {r.get('source','')} | **Geo:** {', '.join(geo_tags) if isinstance(geo_tags, list) else geo_tags} | **Categories:** {', '.join(cats) if isinstance(cats, list) else cats}")
+
+        if url and not url.startswith("http"):
+            st.caption("Note: This item may display an ID or number instead of a full link. Open on Grants.gov if needed.")
+        st.write(f"[Open Link]({url})  \nScore: {r.get('score', 0):.3f}")
+        st.markdown("---")
+else:
+    st.info("Enter a query and click Search.")