Update app.py

app.py

@@ -8,29 +8,8 @@ from llm import query_llm, extract_structured_data
 from reporting import generate_enhanced_csv, generate_enhanced_pdf
 from dashboard import generate_comprehensive_dashboard
 from validation import validate_transcript_quality, check_data_completeness
-from audio_transcriber import transcribe_with_diarization_streaming
+#from audio_transcriber import transcribe_with_diarization_streaming
 
-def preprocess_audio(audio_files, num_speakers):
-    """Convert audio to transcripts"""
-    if not audio_files:
-        return None, "No audio files provided"
-    
-    transcript_paths = []
-    status = ""
-    
-    for audio in audio_files:
-        try:
-            # Get the actual file path
-            audio_path = audio.name if hasattr(audio, 'name') else str(audio)
-            
-            transcript_path = transcribe_with_diarization(audio_path, num_speakers)
-            transcript_paths.append(transcript_path)
-            status += f"✓ {os.path.basename(audio_path)} → {transcript_path}\n"
-        except Exception as e:
-            status += f"✗ {os.path.basename(audio_path)}: {str(e)}\n"
-    
-    # Return list of paths for file component
-    return transcript_paths if transcript_paths else None, status
 
 
 def analyze(files, file_type, user_comments, role_hint, debug_mode, interviewee_type, progress=gr.Progress()):