Update chunkedTranscriber.py

chunkedTranscriber.py

@@ -241,7 +241,6 @@ class ChunkedTranscriber:
         device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
         try:
-            print(f"\n\n Chunk shape: {chunk_data['chunk'].shape}")
             # Language detection
             lid_processor, lid_model = self.load_lid_mms()
             lid_lang = self.language_identification(lid_model, lid_processor, chunk_data['chunk'])
@@ -346,7 +345,6 @@ class ChunkedTranscriber:
                 'end_time': turn.end,
                 'speaker': speaker
             })
-        # print(f"\n\n Speaker Segments:\n{speaker_segments}\n")
 
         audio = self.load_audio(audio_path)
         chunks = self.preprocess_audio(audio)
@@ -366,7 +364,6 @@ class ChunkedTranscriber:
                 translation_model,
                 translation_tokenizer
             )
-            print(f"\n\nResult:\n{result}")
             if result:
                 for segment in speaker_segments:
                     if int(segment['start_time']) <= int(chunk_data['start_time']) < int(segment['end_time']):