runtime error

Exit code: 1. Reason: 00%|██████████| 283k/283k [00:00<00:00, 55.5MB/s] vocab.json: 0%| | 0.00/836k [00:00<?, ?B/s] vocab.json: 100%|██████████| 836k/836k [00:00<00:00, 29.0MB/s] tokenizer.json: 0%| | 0.00/2.48M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.48M/2.48M [00:00<00:00, 46.0MB/s] merges.txt: 0%| | 0.00/494k [00:00<?, ?B/s] merges.txt: 100%|██████████| 494k/494k [00:00<00:00, 21.7MB/s] normalizer.json: 0%| | 0.00/52.7k [00:00<?, ?B/s] normalizer.json: 100%|██████████| 52.7k/52.7k [00:00<00:00, 229MB/s] added_tokens.json: 0%| | 0.00/34.6k [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 34.6k/34.6k [00:00<00:00, 126MB/s] special_tokens_map.json: 0%| | 0.00/2.19k [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 2.19k/2.19k [00:00<00:00, 11.2MB/s] preprocessor_config.json: 0%| | 0.00/185k [00:00<?, ?B/s] preprocessor_config.json: 100%|██████████| 185k/185k [00:00<00:00, 145MB/s] Device set to use cpu Using `chunk_length_s` is very experimental with seq2seq models. The results will not necessarily be entirely accurate and will have caveats. More information: https://github.com/huggingface/transformers/pull/20104. Ignore this warning with pipeline(..., ignore_warning=True). To use Whisper for long-form transcription, use rather the model's `generate` method directly as the model relies on it's own chunking mechanism (cf. Whisper original paper, section 3.8. Long-form Transcription). Traceback (most recent call last): File "/app/app.py", line 38, in <module> gr.Audio(sources="upload", type="filepath", optional=True, label="Аудиофайл"), File "/usr/local/lib/python3.10/site-packages/gradio/component_meta.py", line 194, in wrapper return fn(self, **kwargs) TypeError: Audio.__init__() got an unexpected keyword argument 'optional'

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