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| import gradio as gr | |
| import edge_tts | |
| import asyncio | |
| import os | |
| # https://speech.platform.bing.com/consumer/speech/synthesize/readaloud/voices/list?trustedclienttoken=6A5AA1D4EAFF4E9FB37E23D68491D6F4 | |
| SUPPORTED_VOICES = { | |
| 'Vivienne': 'fr-FR-VivienneMultilingualNeural', | |
| 'Denise': 'fr-FR-DeniseNeural', | |
| 'Eloise': 'fr-FR-EloiseNeural', | |
| 'Remy': 'fr-FR-RemyMultilingualNeural', | |
| 'Henri': 'fr-FR-HenriNeural' | |
| } | |
| # Modification de voix | |
| def changeVoice(voices): | |
| example = SUPPORTED_VOICES[voices] | |
| example_file = os.path.join(os.path.dirname(__file__), "example/"+example+".mp3") | |
| return example_file | |
| # Text to Speech | |
| async def textToSpeech(text, voices, rate, volume): | |
| output_file = "output.mp3" | |
| voices = SUPPORTED_VOICES[voices] | |
| if (rate >= 0): | |
| rates = rate = "+" + str(rate) + "%" | |
| else: | |
| rates = str(rate) + "%" | |
| if (volume >= 0): | |
| volumes = "+" + str(volume) + "%" | |
| else: | |
| volumes = str(volume) + "%" | |
| communicate = edge_tts.Communicate(text, | |
| voices, | |
| rate=rates, | |
| volume=volumes, | |
| proxy=None) | |
| await communicate.save(output_file) | |
| audio_file = os.path.join(os.path.dirname(__file__), "output.mp3") | |
| if (os.path.exists(audio_file)): | |
| return audio_file | |
| else: | |
| raise gr.Error("La création a échoué！") | |
| return FileNotFoundError | |
| # Effacer le texte et rendu | |
| def clearSpeech(): | |
| output_file = os.path.join(os.path.dirname(__file__), "output.mp3") | |
| if (os.path.exists(output_file)): | |
| os.remove(output_file) | |
| return None, None | |
| with gr.Blocks(css="style.css", title="Text To Speech") as demo: | |
| gr.Markdown(""" | |
| # Text-to-Speech FR | |
| Conversion texte en audio vocal avec edge-tts | |
| """) | |
| with gr.Row(): | |
| with gr.Column(): | |
| text = gr.TextArea(label="Entrez votre texte", elem_classes="text-area") | |
| btn = gr.Button("Convertir en audio vocal", elem_id="submit-btn") | |
| with gr.Column(): | |
| voices = gr.Dropdown(choices=[ | |
| "Vivienne", "Denise", "Eloise", "Remy", | |
| "Henri" | |
| ], | |
| value="Vivienne", | |
| label="Modèle de voix", | |
| info="Choix du modèle vocal FR (France)", | |
| interactive=True) | |
| example = gr.Audio(label="Exemple", | |
| value="example/fr-FR-VivienneMultilingualNeural.mp3", | |
| interactive=False, | |
| autoplay=False, | |
| elem_classes="example") | |
| voices.change(fn=changeVoice,inputs=voices,outputs=example) | |
| rate = gr.Slider(-100, | |
| 100, | |
| step=1, | |
| value=0, | |
| label="Vitesse de parole", | |
| info="Accélérer ou ralentir la voix", | |
| interactive=True) | |
| volume = gr.Slider(-100, | |
| 100, | |
| step=1, | |
| value=0, | |
| label="Volume", | |
| info="Augmenter ou baisser le volume audio", | |
| interactive=True) | |
| audio = gr.Audio(label="Rendu audio", | |
| interactive=False, | |
| elem_classes="audio") | |
| clear = gr.Button("Effacer", elem_id="clear-btn") | |
| btn.click(fn=textToSpeech, | |
| inputs=[text, voices, rate, volume], | |
| outputs=[audio]) | |
| clear.click(fn=clearSpeech, outputs=[text, audio]) | |
| if __name__ == "__main__": | |
| demo.launch() | |