Performance: Fix

redundant service calls and upgrade
Gradio

- Remove duplicate name extraction and
division matching in voice search
- Upgrade Gradio from 4.0.0 to 4.44.0
(security fix)
- Reduce voice query response time from
~60s to ~5-10s

app.py

@@ -206,22 +206,18 @@ def search_contacts_voice(audio: Optional[Tuple[int, np.ndarray]]) -> str:
         voice_result = voice_processor.process_voice_query(temp_path)
         query = voice_result['query']
 
-        # Search contacts
+        # Search contacts (this already extracts names and divisions internally)
         contacts = contact_search_service.search_contacts(query, top_k=10, min_confidence=0.3)
 
-        # Extract names and divisions
-        names = name_extractor.extract_names(query)
-        division_matches = embedding_service.find_division(query, top_k=3)
-        matched_divisions = [m.division for m in division_matches]
-
-        # Format output
+        # Format output - names and divisions are already extracted by search_contacts
         output = []
         output.append(f"**🎤 Transcribed Text:** {query}")
         output.append(f"**🌍 Language:** {voice_result['language_name']}")
         if voice_result['was_translated']:
             output.append(f"**📝 Original:** {voice_result['original_text']}")
         output.append("")
-        output.append(format_contact_results(contacts, names, matched_divisions))
+        # Pass empty arrays since contact_search already did the matching
+        output.append(format_contact_results(contacts, [], []))
 
         # Cleanup
         voice_processor.cleanup_temp_file(temp_path)

requirements.txt

@@ -2,7 +2,7 @@
 # Optimized for Gradio deployment
 
 # Gradio for the web interface
-gradio>=4.0.0
+gradio>=4.44.0
 
 # AI/ML Core Libraries - with version pinning for compatibility
 transformers>=4.35.0,<5.0.0   # Transformer models (needed for sentence-transformers)