Delete app.py

app.py

@@ -1,106 +0,0 @@
-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'
-    '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()