runtime error

Exit code: 1. Reason: lling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour warnings.warn( Downloading: "https://github.com/NVIDIA/DeepLearningExamples/zipball/torchhub" to /home/user/.cache/torch/hub/torchhub.zip /home/user/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/Classification/ConvNets/image_classification/models/common.py:13: UserWarning: pytorch_quantization module not found, quantization will not be available warnings.warn( /home/user/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/Classification/ConvNets/image_classification/models/efficientnet.py:17: UserWarning: pytorch_quantization module not found, quantization will not be available warnings.warn( Downloading: "https://api.ngc.nvidia.com/v2/models/nvidia/waveglowpyt_fp32/versions/1/files/nvidia_waveglowpyt_fp32_20190306.pth" to /home/user/.cache/torch/hub/checkpoints/nvidia_waveglowpyt_fp32_20190306.pth /home/user/.local/lib/python3.8/site-packages/gradio/outputs.py:81: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components warnings.warn( Traceback (most recent call last): File "app.py", line 51, in <module> gr.Interface(inference,"text",gr.outputs.Audio(type="file"),title=title,description=description,article=article,examples=examples).launch(enable_queue=True) File "/home/user/.local/lib/python3.8/site-packages/gradio/outputs.py", line 84, in __init__ super().__init__(type=type, label=label) File "/home/user/.local/lib/python3.8/site-packages/gradio/components.py", line 2069, in __init__ raise ValueError( ValueError: Invalid value for parameter `type`: file. Please choose from one of: ['numpy', 'filepath']

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