Update app.py

app.py

@@ -53,7 +53,7 @@ SESSION_VARS = {
     'nps_last_shown': None,
     'old_val': None,
     'voice_text': None,
-    'user_name': None,   # New: Track user name
+    'user_name': None,   # Track user name
     'max_items': 100      # Default max items
 }
 
@@ -164,10 +164,11 @@ def list_saved_inputs():
     files = sorted(glob.glob(os.path.join(SAVED_INPUTS_DIR, "*.md")))
     return files
 
-def render_result(result):
+def render_result(result, index=None):
     score = result.get('relevance_score', 0)
     result_filtered = {k: v for k, v in result.items() 
                       if k not in ['relevance_score', 'video_embed', 'description_embed', 'audio_embed']}
+    
     if 'youtube_id' in result:
         st.video(f"https://youtube.com/watch?v={result['youtube_id']}&t={result.get('start_time', 0)}")
     
@@ -190,13 +191,17 @@ def render_result(result):
             "Tony (UK Male)": "en-GB-TonyNeural"
         }
         
+        # Ensure unique keys by using the index
+        voice_key = f"voice_{index}" if index is not None else f"voice_{id(result)}"
+        
         selected_voice = st.selectbox(
             "Voice:",
             list(voices.keys()),
-            key=f"voice_{result.get('video_id', '')}"
+            key=voice_key
         )
         
-        if st.button("🔊 Read", key=f"read_{result.get('video_id', '')}"):
+        read_key = f"read_{voice_key}"
+        if st.button("🔊 Read", key=read_key):
             text_to_read = ". ".join(text_content)
             audio_file = speak_with_edge_tts(text_to_read, voices[selected_voice])
             if audio_file:
@@ -223,10 +228,11 @@ class FastDatasetSearcher:
         
         try:
             searchable_cols = []
-            for col in df.columns:
-                sample_val = df[col].iloc[0] if len(df) > 0 else ""
-                if not isinstance(sample_val, (np.ndarray, bytes)):
-                    searchable_cols.append(col)
+            if len(df) > 0:
+                for col in df.columns:
+                    sample_val = df[col].iloc[0] 
+                    if not isinstance(sample_val, (np.ndarray, bytes)):
+                        searchable_cols.append(col)
             
             query_lower = query.lower()
             query_terms = set(query_lower.split())
@@ -357,7 +363,7 @@ def main():
                         if shown >= st.session_state['max_items']:
                             break
                         with st.expander(f"Result {i}", expanded=(i==1)):
-                            render_result(result[1])
+                            render_result(result[1], index=i)
                         shown += 1
                             
                 elif run_option == "Deep Search":
@@ -379,7 +385,7 @@ def main():
                         if shown >= st.session_state['max_items']:
                             break
                         with st.expander(f"Result {i}", expanded=(i==1)):
-                            render_result(result[1])
+                            render_result(result[1], index=i)
                         shown += 1
                                 
                 elif run_option == "Voice Summary":
@@ -400,7 +406,7 @@ def main():
                     if shown >= st.session_state['max_items']:
                         break
                     with st.expander(f"Result {i}", expanded=(i==1)):
-                        render_result(result[1])
+                        render_result(result[1], index=i)
                     shown += 1
     
     # Tabs
@@ -445,7 +451,7 @@ def main():
                         if shown >= num_results:
                             break
                         with st.expander(f"Result {i}", expanded=(i==1)):
-                            render_result(result)
+                            render_result(result, index=i)
                         shown += 1
                 else:
                     st.warning("No matching results found.")
@@ -480,7 +486,7 @@ def main():
                             if shown >= st.session_state['max_items']:
                                 break
                             with st.expander(f"Result {i}", expanded=(i==1)):
-                                render_result(result)
+                                render_result(result, index=i)
                             shown += 1
     
     with tab3:
@@ -493,7 +499,7 @@ def main():
                     for i, result in enumerate(entry['results'], 1):
                         st.write(f"**Result {i}:**")
                         if isinstance(result, pd.Series):
-                            render_result(result)
+                            render_result(result, index=i)
                         else:
                             st.write(result)
     
@@ -532,6 +538,6 @@ def main():
             st.write("Recent Searches:")
             for entry in reversed(recent_searches):
                 st.write(f"🔍 {entry['query']}")
-
+                
 if __name__ == "__main__":
     main()