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Runtime error
| import os | |
| import shutil | |
| import zipfile | |
| import gradio as gr | |
| os.system('pip install --upgrade gdown') | |
| os.system('gdown --no-check-certificate https://drive.google.com/uc?id=1Flw6Z0K2QdRrTn5F-gVt6HdR9TRPiaKy') | |
| with zipfile.ZipFile('VQMIVC-pretrained models.zip', 'r') as zip_ref: | |
| zip_ref.extractall('.') | |
| shutil.move('VQMIVC-pretrained models/checkpoints/', '.') | |
| shutil.move('VQMIVC-pretrained models/vocoder/', '.') | |
| def inference(audio1, audio2): | |
| os.rename(audio1.name, '1.wav') | |
| os.rename(audio2.name, '2.wav') | |
| os.system('ls') | |
| os.system("python convert_example.py -s 1.wav -r 2.wav -c converted -m 'checkpoints/useCSMITrue_useCPMITrue_usePSMITrue_useAmpTrue/VQMIVC-model.ckpt-500.pt'") | |
| out = "converted/1_converted_gen.wav" | |
| return out | |
| inputs = [gr.inputs.Audio(label="Source Audio", type='file'),gr.inputs.Audio(label="Reference Audio", type='file')] | |
| outputs = gr.outputs.Audio(label="Output Audio", type='file') | |
| title = "VQMIVC" | |
| description = "Gradio demo for VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion. To use it, simply add your audio, 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/2106.10132' target='_blank'>VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion</a> | <a href='https://github.com/Wendison/VQMIVC' target='_blank'>Github Repo</a></p>" | |
| examples=[['source.wav','ref.wav']] | |
| gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, examples=examples, enable_queue=True).launch() |