runtime error

/python3.10/site-packages/gradio/utils.py", line 672, in wrapper response = f(*args, **kwargs) File "/home/user/app/app.py", line 32, in transcribe_video text = transcribe_and_tag(audio) File "/home/user/app/app.py", line 37, in transcribe_and_tag text = transcribe(audio) File "/home/user/app/app.py", line 22, in transcribe text = transcribe_pipe(audio)["text"] File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/automatic_speech_recognition.py", line 357, in __call__ return super().__call__(inputs, **kwargs) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/base.py", line 1132, in __call__ return next( File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/pt_utils.py", line 124, in __next__ item = next(self.iterator) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/pt_utils.py", line 266, in __next__ processed = self.infer(next(self.iterator), **self.params) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/base.py", line 1046, in forward model_outputs = self._forward(model_inputs, **forward_params) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/automatic_speech_recognition.py", line 569, in _forward tokens = self.model.generate( File "/home/user/.local/lib/python3.10/site-packages/transformers/models/whisper/modeling_whisper.py", line 2085, in generate raise ValueError( ValueError: You have passed more than 3000 mel input features (> 30 seconds) which automatically enables long-form generation which requires the generation config to have `no_timestamps_token_id` correctly. Make sure to initialize the generation config with the correct attributes that are needed such as `no_timestamps_token_id`. For more details on how to generate the approtiate config, refer to https://github.com/huggingface/transformers/issues/21878#issuecomment-1451902363or make sure to pass no more than 3000 mel input features.

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