Update app file

src/app.py

@@ -0,0 +1,71 @@
+import streamlit as st
+from compliance_lib import fetch_text, run_check, generate_report, RULES
+import textwrap, json, datetime, os
+
+st.set_page_config(page_title="anupalankarta – Compliance Checker",
+                   layout="wide")
+
+st.title("🛡️ Anupalan Karta (अनुपालंकर्ता) – unified compliance self-check")
+
+# --- sidebar ---------------------------------------------------------------
+with st.sidebar:
+    st.header("📑 Input options")
+    mode = st.radio("Choose data source:",
+                    ("Paste text", "URL of public policy", "Upload file"))
+    if mode == "Paste text":
+        raw_text = st.text_area("Paste your policy / procedures here")
+    elif mode == "URL of public policy":
+        url = st.text_input("Public URL (HTTPS)")
+        raw_text = fetch_text(url) if url else ""
+    else:
+        up = st.file_uploader("Upload .txt, .md or .pdf", type=["txt", "md", "pdf"])
+        raw_text = up.read().decode("utf-8", errors="ignore") if up else ""
+
+    st.markdown("---")
+    selected_fw = st.multiselect(
+        "Frameworks to check",
+        list(RULES.keys()),
+        default=list(RULES.keys())
+    )
+    run_btn = st.button("Run compliance check")
+
+# --- main body --------------------------------------------------------------
+if run_btn and raw_text.strip():
+    with st.spinner("Running rule-based checks…"):
+        results = run_check(raw_text)
+    st.subheader("📊 Checklist results")
+    for fw in selected_fw:
+        passed = sum(1 for _, ok in results[fw] if ok)
+        total = len(results[fw])
+        st.write(f"**{fw}: {passed}/{total} items passed**")
+        st.progress(passed / total)
+        for label, ok in results[fw]:
+            st.write(("✅" if ok else "❌") + "  " + label)
+        st.markdown("---")
+
+    # --- AI report section --------------------------------------------------
+    st.subheader("📝 Generate narrative report")
+    if st.button("Generate AI report via Hugging Face model"):
+        with st.spinner("Calling model… this may take ~30 s"):
+            bullet = "\n".join(
+                f"- {fw}: {sum(ok for _, ok in results[fw])}/{len(results[fw])} passed"
+                for fw in selected_fw
+            )
+            prompt = textwrap.dedent(f"""
+                You are a compliance consultant. Summarize the following checklist
+                outcomes and give prioritized next steps. Use clear headings, bullet
+                points and be brief. Results:
+
+                {bullet}
+
+                Write the report for a technical audience.
+            """)
+            report = generate_report(prompt)
+        st.markdown("#### Draft report")
+        st.code(report, language="markdown")
+        st.download_button("⬇️ Download .md",
+                           report.encode("utf-8"),
+                           file_name="anupalankarta_report.md",
+                           mime="text/markdown")
+else:
+    st.info("Awaiting input…")

src/streamlit_app.py

@@ -1,40 +0,0 @@
-import altair as alt
-import numpy as np
-import pandas as pd
-import streamlit as st
-
-"""
-# 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])),
-    ))