| | from random import choices |
| |
|
| | import gradio as gr |
| | from TTS.api import TTS |
| |
|
| | |
| | |
| | |
| | tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", gpu=False) |
| | tts2 = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/knnvc", gpu=False) |
| | tts3 = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/openvoice_v1", gpu=False) |
| | tts4 = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/openvoice_v2", gpu=False) |
| |
|
| | def greet(source, target, choices_s): |
| | if choices_s == "freevc24": |
| | tts.voice_conversion_to_file( |
| | source_wav=source, |
| | target_wav=target, |
| | file_path="output.wav" |
| | ) |
| | elif choices_s == "knnvc": |
| | tts2.voice_conversion_to_file( |
| | source_wav=source, |
| | target_wav=target, |
| | file_path="output.wav" |
| | ) |
| | elif choices_s == "openvoice_v1": |
| | tts3.voice_conversion_to_file( |
| | source_wav=source, |
| | target_wav=target, |
| | file_path="output.wav" |
| | ) |
| | elif choices_s == "openvoice_v2": |
| | tts4.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", value="kratos.wav", type="filepath"), |
| | gr.Audio(label="Target audio", value="nikole_kidman.wav", type="filepath"), |
| | gr.Dropdown(label="Model name", choices=["freevc24", "knnvc", "openvoice_v1", "openvoice_v2"])], |
| | outputs=gr.Audio(type="filepath")) |
| | demo.launch() |
