juanelot commited on
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1 Parent(s): 86bd27c

Update app.py

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  1. app.py +66 -79
app.py CHANGED
@@ -1,79 +1,66 @@
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- import gradio as gr
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- import edge_tts
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- import asyncio
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- import tempfile
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- import os
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-
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- # Get all available voices
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- async def get_voices():
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- voices = await edge_tts.list_voices()
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- return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}
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-
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- # Text-to-speech function
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- async def text_to_speech(text, voice, rate, pitch):
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- if not text.strip():
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- return None, gr.Warning("Please enter text to convert.")
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- if not voice:
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- return None, gr.Warning("Please select a voice.")
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-
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- voice_short_name = voice.split(" - ")[0]
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- rate_str = f"{rate:+d}%"
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- pitch_str = f"{pitch:+d}Hz"
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- communicate = edge_tts.Communicate(text, voice_short_name, rate=rate_str, pitch=pitch_str)
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- with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
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- tmp_path = tmp_file.name
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- await communicate.save(tmp_path)
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- return tmp_path, None
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-
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- # Gradio interface function
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- def tts_interface(text, voice, rate, pitch):
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- audio, warning = asyncio.run(text_to_speech(text, voice, rate, pitch))
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- return audio, warning
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-
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- # Create Gradio application
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- import gradio as gr
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-
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- async def create_demo():
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- voices = await get_voices()
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-
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- description = """
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- Convert text to speech using Microsoft Edge TTS. Adjust speech rate and pitch: 0 is default, positive values increase, negative values decrease.
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-
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- 🎥 **Exciting News: Introducing our Text-to-Video Converter!** 🎥
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-
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- Take your content creation to the next level with our cutting-edge Text-to-Video Converter!
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- Transform your words into stunning, professional-quality videos in just a few clicks.
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-
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- Features:
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- Convert text to engaging videos with customizable visuals
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- Choose from 40+ languages and 300+ voices
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- • Perfect for creating audiobooks, storytelling, and language learning materials
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- • Ideal for educators, content creators, and language enthusiasts
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-
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- Ready to revolutionize your content? [Click here to try our Text-to-Video Converter now!](https://text2video.wingetgui.com/)
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- """
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-
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- demo = gr.Interface(
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- fn=tts_interface,
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- inputs=[
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- gr.Textbox(label="Input Text", lines=5),
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- gr.Dropdown(choices=[""] + list(voices.keys()), label="Select Voice", value=""),
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- gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1),
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- gr.Slider(minimum=-20, maximum=20, value=0, label="Pitch Adjustment (Hz)", step=1)
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- ],
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- outputs=[
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- gr.Audio(label="Generated Audio", type="filepath"),
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- gr.Markdown(label="Warning", visible=False)
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- ],
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- title="Edge TTS Text-to-Speech",
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- description=description,
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- article="Experience the power of Edge TTS for text-to-speech conversion, and explore our advanced Text-to-Video Converter for even more creative possibilities!",
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- analytics_enabled=False,
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- allow_flagging=False
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- )
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- return demo
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-
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- # Run the application
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- if __name__ == "__main__":
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- demo = asyncio.run(create_demo())
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- demo.launch()
 
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+ import gradio as gr
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+ import edge_tts
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+ import asyncio
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+ import tempfile
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+ import os
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+
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+ # Obtener todas las voces disponibles
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+ async def get_voices():
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+ voices = await edge_tts.list_voices()
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+ return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}
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+
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+ # Función de texto a voz
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+ async def text_to_speech(text, voice, rate, pitch):
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+ if not text.strip():
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+ return None, gr.Warning("Por favor, ingresa texto para convertir.") # Warning si no se ingresa texto
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+ if not voice:
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+ return None, gr.Warning("Por favor, selecciona una voz.") # Warning si no se selecciona una voz
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+
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+ voice_short_name = voice.split(" - ")[0]
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+ rate_str = f"{rate:+d}%" # Ajustar velocidad en formato adecuado
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+ pitch_str = f"{pitch:+d}Hz" # Ajustar tono en formato adecuado
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+ communicate = edge_tts.Communicate(text, voice_short_name, rate=rate_str, pitch=pitch_str)
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+ with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
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+ tmp_path = tmp_file.name
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+ await communicate.save(tmp_path) # Guardar archivo temporal con el audio generado
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+ return tmp_path, None
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+
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+ # Función para la interfaz de Gradio
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+ def tts_interface(text, voice, rate, pitch):
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+ audio, warning = asyncio.run(text_to_speech(text, voice, rate, pitch)) # Ejecutar función asíncrona
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+ return audio, warning
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+
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+ # Crear aplicación Gradio
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+ import gradio as gr
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+
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+ async def create_demo():
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+ voices = await get_voices() # Obtener lista de voces disponibles
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+
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+ description = """
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+ Convierte texto en audio utilizando Microsoft Edge TTS. Ajusta la velocidad y el tono del habla: 0 es el valor predeterminado, valores positivos aumentan, valores negativos disminuyen.
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+ """
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+
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+ demo = gr.Interface(
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+ fn=tts_interface,
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+ inputs=[
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+ gr.Textbox(label="Texto de entrada", lines=5), # Entrada para texto
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+ gr.Dropdown(choices=[""] + list(voices.keys()), label="Seleccionar voz", value=""), # Selección de voz
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+ gr.Slider(minimum=-50, maximum=50, value=0, label="Ajuste de velocidad (%)", step=1), # Ajuste de velocidad
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+ gr.Slider(minimum=-20, maximum=20, value=0, label="Ajuste de tono (Hz)", step=1) # Ajuste de tono
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+ ],
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+ outputs=[
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+ gr.Audio(label="Audio generado", type="filepath"), # Salida del audio generado
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+ gr.Markdown(label="Advertencia", visible=False) # Salida de advertencias
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+ ],
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+ title="Edge TTS Texto a Voz",
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+ description=description,
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+ # article="Experimenta el poder de Edge TTS para la conversión de texto a voz y explora nuestro avanzado Convertidor de Texto a Video para posibilidades creativas aún mayores.",
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+ analytics_enabled=False,
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+ allow_flagging=False
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+ )
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+ return demo
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+
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+ # Ejecutar la aplicación
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+ if __name__ == "__main__":
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+ demo = asyncio.run(create_demo())
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+ demo.launch()