remove comments

app.py

@@ -52,10 +52,7 @@ def predict(
 
     arr, org_sr = torchaudio.load(input_data)
     new_arr = torchaudio.functional.resample(arr, orig_freq=org_sr, new_freq=AUDIO_SAMPLE_RATE)
-    #max_length = int(MAX_INPUT_AUDIO_LENGTH * AUDIO_SAMPLE_RATE)
-    # if new_arr.shape[1] > max_length:
-    #     new_arr = new_arr[:, :max_length]
-    #     gr.Warning(f"Input audio is too long. Only the first {MAX_INPUT_AUDIO_LENGTH} seconds is used.")
+   
     torchaudio.save(input_data, new_arr, sample_rate=int(AUDIO_SAMPLE_RATE))
 
     text_out, wav, sr = translator.predict(
@@ -77,8 +74,6 @@ def update_audio_ui(audio_source: str) -> tuple[dict, dict]:
     )
 
 
-# ... (previous parts of the code remain unchanged)
-
 with gr.Blocks(css="style.css") as demo:
 
     gr.Markdown(DESCRIPTION)