Upload appweb.py

appweb.py

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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()