Comment out debug print statements in WhisperTranscriber to clean up output during transcription and embedding calculations.

app.py

@@ -364,7 +364,7 @@ class WhisperTranscriber:
         
         transcription_time = time.time() - start_time
         print(f"Full audio transcribed in {transcription_time:.2f} seconds using batch size {batch_size}")
-        print(results)
+        #print(results)
         return results, detected_language
     
     # Removed audio cutting; transcription is done once on the full (preprocessed) audio
@@ -418,7 +418,7 @@ class WhisperTranscriber:
         # Convert to list format
         diarize_segments = []
         diarization_list = list(diarization.itertracks(yield_label=True))
-        print(diarization_list)
+        #print(diarization_list)
         for turn, _, speaker in diarization_list:
             diarize_segments.append({
                 "start": float(turn.start) + float(base_offset_s),
@@ -475,7 +475,7 @@ class WhisperTranscriber:
                 except Exception:
                     # fallback to first embedding
                     speaker_embeddings[spk] = embs[0].cpu().tolist()
-                print(speaker_embeddings[spk])
+                #print(speaker_embeddings[spk])
         except Exception as e:
             print(f"Error during embedding calculation: {e}")
             print(f"Diarization segments: {diarize_segments}")