| 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() |
