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| import gradio as gr | |
| from TTS.api import TTS | |
| def greet(source, target, choices_s): | |
| if choices_s == "freevc24": | |
| tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", gpu=False) | |
| elif choices_s == "knnvc": | |
| tts = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/knnvc", gpu=False) | |
| elif choices_s == "openvoice_v1": | |
| tts = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/openvoice_v1", gpu=False) | |
| elif choices_s == "openvoice_v2": | |
| tts = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/openvoice_v2", gpu=False) | |
| tts.voice_conversion_to_file( | |
| source_wav=source, | |
| target_wav=target, | |
| file_path="output.wav" | |
| ) | |
| return "output.wav" | |
| demo = gr.Interface(fn=greet, | |
| inputs=[ | |
| gr.Audio(label="Source audio", type="filepath"), | |
| gr.Audio(label="Target audio", type="filepath"), | |
| gr.Dropdown(label="Model name", choices=["freevc24", "knnvc", "openvoice_v1", "openvoice_v2"]) | |
| ], | |
| outputs=gr.Audio(type="filepath")) | |
| demo.launch() |