Add application file

app.py

@@ -38,17 +38,17 @@ except Exception as e:
     st.stop()
 
 # Search
-query = st.text_input("Search text (case-insensitive)", "").strip().lower()
+query = st.text_input("Search text (case-insensitive)", "").strip()
 
-# Perform search
 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 ?
         LIMIT 100
     """
-    df = con.execute(sql, [f"%{query}%"]).df()
+    df = con.execute(sql, [query_like]).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_cell(audio_bytes):
+    def render_audio(audio_bytes):
         try:
             if isinstance(audio_bytes, (bytes, bytearray, memoryview)):
                 data = bytes(audio_bytes)
@@ -72,15 +72,20 @@ else:
             with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp:
                 tmp.write(data)
                 tmp.flush()
-                return f'<audio controls style="height:20px;"> <source src="file://{tmp.name}" type="audio/mpeg"></audio>'
+                return f'<audio controls style="height:20px; width:100px;"> <source src="file://{tmp.name}" type="audio/mpeg"></audio>'
         except Exception:
             return ""
 
-    df["Audio"] = df["audio"].apply(render_audio_cell)
-    df_display = df[["id", "channel", "video_id", "speaker", "start_time", "end_time", "upload_date", "text", "pos_tags", "Audio"]].copy()
+    df["Audio"] = df["audio"].apply(render_audio)
+    df_display = df.drop(columns=["audio"]).copy()
 
-    # Adjust column widths to make room for audio
     st.markdown("### Results Table (Sortable with Audio Column)")
     st.markdown("(Scroll right to view audio controls)")
-    st.dataframe(df_display.drop(columns=["audio"]))
+
+    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)