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Browse files- app.py +45 -0
- requirements.txt +2 -0
app.py
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import gradio as gr
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from TTS.api import TTS
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import tempfile
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# Load XTTS model
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tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2")
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def clone_voice(text, speaker_wav):
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if speaker_wav is None:
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return None, "Please upload a reference audio file."
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# Save uploaded audio
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with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp:
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tmp.write(speaker_wav.read())
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speaker_path = tmp.name
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output_path = "cloned_output.wav"
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# Generate audio using XTTS
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tts.tts_to_file(
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text=text,
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speaker_wav=speaker_path,
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language="zh",
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file_path=output_path
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)
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return output_path, "Voice cloning completed successfully."
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# Gradio UI
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demo = gr.Interface(
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fn=clone_voice,
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inputs=[
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gr.Textbox(label="Enter Chinese Text"),
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gr.Audio(label="Upload Speaker Audio (.wav)", type="file")
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],
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outputs=[
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gr.Audio(label="Cloned Output Audio"),
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gr.Textbox(label="Status")
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],
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title="XTTS Voice Cloning Demo",
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description="Upload reference audio and enter Chinese text to generate speech in cloned voice."
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)
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demo.launch()
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requirements.txt
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TTS
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gradio
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