Update app.py

app.py

@@ -51,12 +51,6 @@ def transcribe_video(video_url: str, word_timestamps: bool = True, model_size: s
     segments, info = model.transcribe(f"{rand_id}.mp3", beam_size=5, word_timestamps=word_timestamps)
     segments = [segment_to_dict(segment) for segment in segments]
     total_duration = round(info.duration, 2)  # Same precision as the Whisper timestamps.
-    with tqdm(total=total_duration, unit=" seconds") as pbar:
-      for segment in segments:
-          segment_duration = segment.end - segment.start
-          pbar.update(segment_duration)
-
-    print(pbar)
     print(info)
     os.remove(f"{rand_id}.mp3")
     print("Detected language '%s' with probability %f" % (info.language, info.language_probability))