innoai commited on
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Create app.py

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  1. app.py +60 -0
app.py ADDED
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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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+ async def create_demo():
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+ voices = await get_voices()
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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="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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+ analytics_enabled=False,
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+ allow_flagging=False
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+ )
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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()