Add application file

app.py

@@ -37,18 +37,18 @@ except Exception as e:
     st.error(f"DuckDB connection failed: {e}")
     st.stop()
 
-# Search
+# Search input
 query = st.text_input("Search text (case-insensitive)", "").strip()
 
+# Build query
 if query:
-    query_like = f"%{query.lower()}%"
     sql = """
         SELECT id, channel, video_id, speaker, start_time, end_time, upload_date, text, pos_tags, audio
         FROM data
-        WHERE LOWER(text) LIKE ?
+        WHERE LOWER(text) LIKE LOWER(?)
         LIMIT 100
     """
-    df = con.execute(sql, [query_like]).df()
+    df = con.execute(sql, [f"%{query}%"]).df()
 else:
     df = con.execute("""
         SELECT id, channel, video_id, speaker, start_time, end_time, upload_date, text, pos_tags, audio
@@ -61,7 +61,7 @@ st.markdown(f"### Showing {len(df)} results")
 if len(df) == 0:
     st.warning("No matches found.")
 else:
-    def render_audio(audio_bytes):
+    def render_audio_cell(audio_bytes):
         try:
             if isinstance(audio_bytes, (bytes, bytearray, memoryview)):
                 data = bytes(audio_bytes)
@@ -72,20 +72,22 @@ else:
             with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp:
                 tmp.write(data)
                 tmp.flush()
-                return f'<audio controls style="height:20px; width:100px;"> <source src="file://{tmp.name}" type="audio/mpeg"></audio>'
+                return f'<audio controls style="height:20px;"> <source src="file://{tmp.name}" type="audio/mpeg"></audio>'
         except Exception:
             return ""
 
-    df["Audio"] = df["audio"].apply(render_audio)
-    df_display = df.drop(columns=["audio"]).copy()
+    df["Audio"] = df["audio"].apply(render_audio_cell)
+    df_display = df.drop(columns=["audio"])  # Drop binary column before display
+
+    # Reorder columns for display
+    df_display = df_display[["id", "channel", "video_id", "speaker", "start_time", "end_time", "upload_date", "text", "pos_tags", "Audio"]]
 
     st.markdown("### Results Table (Sortable with Audio Column)")
     st.markdown("(Scroll right to view audio controls)")
+    st.dataframe(df_display, use_container_width=True)
 
-    st.dataframe(df_display.drop(columns=["Audio"]))
-
-    st.markdown("### Audio Previews")
-    for i, row in df_display.iterrows():
-        st.markdown(f"**{row['speaker']} | {row['text']}**")
-        st.markdown(df.loc[i, "Audio"], unsafe_allow_html=True)
+    # Optionally, render inline HTML audio
+    # for i, row in df_display.iterrows():
+    #     st.markdown(f"**{row['speaker']} | {row['text']}**")
+    #     st.markdown(row["Audio"], unsafe_allow_html=True)