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| import sys | |
| import os | |
| # By using XTTS you agree to CPML license https://coqui.ai/cpml | |
| os.environ["COQUI_TOS_AGREED"] = "1" | |
| import gradio as gr | |
| from TTS.api import TTS | |
| model_names = TTS().list_models() | |
| m = model_names[0] | |
| tts = TTS(m, gpu=False) | |
| tts.to("cpu") # no GPU or Amd | |
| #tts.to("cuda") # cuda only | |
| def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree): | |
| if agree == True: | |
| if use_mic == True: | |
| if mic_file_path is not None: | |
| speaker_wav=mic_file_path | |
| else: | |
| gr.Warning("Please record your voice with Microphone, or uncheck Use Microphone to use reference audios") | |
| return ( | |
| None, | |
| None, | |
| ) | |
| else: | |
| speaker_wav=audio_file_pth | |
| if len(prompt)<2: | |
| gr.Warning("Please give a longer prompt text") | |
| return ( | |
| None, | |
| None, | |
| ) | |
| if len(prompt)>10000: | |
| gr.Warning("Text length limited to 10000 characters for this demo, please try shorter text") | |
| return ( | |
| None, | |
| None, | |
| ) | |
| try: | |
| if language == "fr": | |
| if m.find("your") != -1: | |
| language = "fr-fr" | |
| if m.find("/fr/") != -1: | |
| language = None | |
| tts.tts_to_file( | |
| text=prompt, | |
| file_path="output.wav", | |
| speaker_wav=speaker_wav, | |
| language=language | |
| ) | |
| except RuntimeError as e : | |
| if "device-assert" in str(e): | |
| # cannot do anything on cuda device side error, need tor estart | |
| gr.Warning("Unhandled Exception encounter, please retry in a minute") | |
| print("Cuda device-assert Runtime encountered need restart") | |
| sys.exit("Exit due to cuda device-assert") | |
| else: | |
| raise e | |
| return ( | |
| gr.make_waveform( | |
| audio="output.wav", | |
| ), | |
| "output.wav", | |
| ) | |
| else: | |
| gr.Warning("Please accept the Terms & Condition!") | |
| return ( | |
| None, | |
| None, | |
| ) | |
| title = "Voice Clone" | |
| gr.Interface( | |
| fn=predict, | |
| inputs=[ | |
| gr.Textbox( | |
| label="Text Prompt", | |
| info="One or two sentences at a time is better", | |
| value="Hello, World !, here is an example of light voice cloning. Try to upload your best audio samples quality", | |
| ), | |
| gr.Dropdown( | |
| label="Language", | |
| info="Select an output language for the synthesised speech", | |
| choices=[ | |
| "en", | |
| "es", | |
| "fr", | |
| "de", | |
| "it", | |
| "pt", | |
| "pl", | |
| "tr", | |
| "ru", | |
| "nl", | |
| "cs", | |
| "ar", | |
| "zh-cn", | |
| ], | |
| max_choices=1, | |
| value="en", | |
| ), | |
| gr.Audio( | |
| label="Reference Audio", | |
| info="Click on the ✎ button to upload your own target speaker audio", | |
| type="filepath", | |
| value="examples/female.wav", | |
| ), | |
| gr.Audio(source="microphone", | |
| type="filepath", | |
| info="Use your microphone to record audio", | |
| label="Use Microphone for Reference"), | |
| gr.Checkbox(label="Check to use Microphone as Reference", | |
| value=False, | |
| info="Notice: Microphone input may not work properly under traffic",), | |
| gr.Checkbox( | |
| label="Agree", | |
| value=True, | |
| info="I agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml", | |
| ), | |
| ], | |
| outputs=[ | |
| gr.Video(label="Waveform Visual"), | |
| gr.Audio(label="Synthesised Audio"), | |
| ], | |
| title=title, | |
| ).queue().launch(debug=True) |