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Runtime error
| from voicefixer import VoiceFixer | |
| import gradio as gr | |
| voicefixer = VoiceFixer() | |
| def inference(audio): | |
| voicefixer.restore(input=audio.name, # input wav file path | |
| output="output.wav", # output wav file path | |
| cuda=False, # whether to use gpu acceleration | |
| mode = 1) # You can try out mode 0, 1 to find out the best result | |
| return 'output.wav' | |
| inputs = gr.inputs.Audio(type="file", label="Input Audio") | |
| outputs = gr.outputs.Audio(type="file",label="Output Audio") | |
| title = "VITS" | |
| description = "demo for VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. To use it, simply add your text, or click one of the examples to load them. Read more at the links below." | |
| article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2106.06103'>Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech</a> | <a href='https://github.com/jaywalnut310/vits'>Github Repo</a></p>" | |
| gr.Interface(inference, inputs, outputs, title=title, description=description, article=article).launch() |