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| import gradio as gr | |
| from TTS.api import TTS | |
| def try1(): | |
| model_name = TTS.list_models()[0] | |
| # Init TTS | |
| tts = TTS(model_name) | |
| # Run TTS | |
| # ❗ Since this model is multi-speaker and multi-lingual, we must set the target speaker and the language | |
| # Text to speech with a numpy output | |
| wav = tts.tts("This is a test! This is also a test!!", speaker=tts.speakers[0], language=tts.languages[0]) | |
| # Text to speech to a file | |
| tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path="output.wav") | |
| out = "output.wav" | |
| return out | |
| def try2(): | |
| tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False) | |
| tts.tts_to_file("This is voice cloning.", speaker_wav="my/cloning/audio.wav", language="en", file_path="output.wav") | |
| tts.tts_to_file("C'est le clonage de la voix.", speaker_wav="my/cloning/audio.wav", language="fr", file_path="output.wav") | |
| tts.tts_to_file("Isso é clonagem de voz.", speaker_wav="my/cloning/audio.wav", language="pt", file_path="output.wav") | |
| out = "output.wav" | |
| return out | |
| with gr.Blocks() as app: | |
| out1 = gr.Audio() | |
| btn1 = gr.Button() | |
| btn2 = gr.Button() | |
| btn1.click(try1,None,out1) | |
| btn2.click(try2,None,out1) | |
| app.launch() |