Upload app.py
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app.py
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import gradio as gr
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import os
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from core.cloner import KokoClone
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# 1. Initialize the cloner globally so models load only once when the server starts
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print("Loading KokoClone models for the Web UI...")
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cloner = KokoClone()
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def clone_voice(text, lang, ref_audio_path):
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"""Gradio prediction function."""
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if not text or not text.strip():
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raise gr.Error("Please enter some text.")
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if not ref_audio_path:
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raise gr.Error("Please upload or record a reference audio file.")
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output_file = "gradio_output.wav"
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try:
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# Call the core engine
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cloner.generate(
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text=text,
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lang=lang,
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reference_audio=ref_audio_path,
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output_path=output_file
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)
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return output_file
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except Exception as e:
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raise gr.Error(f"An error occurred during generation: {str(e)}")
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# 2. Build the Gradio UI using Blocks
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# Gradio 6.0 fix: Removed theme from here
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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<div style="text-align: center;">
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<h1>🎧 KokoClone</h1>
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<p>Voice Cloning, Now Inside Kokoro.<br>
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Generate natural multilingual speech and clone any target voice with ease.<br>
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<i>Built on Kokoro TTS.</i></p>
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</div>
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"""
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)
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with gr.Row():
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# LEFT COLUMN: Inputs
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with gr.Column(scale=1):
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text_input = gr.Textbox(
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label="1. Text to Synthesize",
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lines=4,
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placeholder="Enter the text you want spoken..."
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)
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lang_input = gr.Dropdown(
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label="2. Language",
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choices=[
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("English", "en"),
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("Hindi", "hi"),
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("French", "fr"),
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("Japanese", "ja"),
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("Chinese", "zh"),
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("Italian", "it"),
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("Spanish", "es"),
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("Portuguese", "pt")
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],
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value="en"
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)
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# Using type="filepath" passes the temp file path directly to our cloner
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ref_audio_input = gr.Audio(
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label="3. Reference Voice (Upload or Record)",
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type="filepath"
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)
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submit_btn = gr.Button("🚀 Generate Clone", variant="primary")
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# RIGHT COLUMN: Outputs and Instructions
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with gr.Column(scale=1):
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output_audio = gr.Audio(
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label="Generated Cloned Audio",
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interactive=False,
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autoplay=False
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)
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gr.Markdown(
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"""
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<br>
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### 💡 Tips for Best Results:
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* **Clean Audio:** Use a reference audio clip without background noise or music.
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* **Length:** A reference clip of 3 to 10 seconds is usually the sweet spot.
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* **Language Match:** Make sure the selected language matches the text you typed!
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* **First Run:** The very first generation might take a few extra seconds while the models allocate memory.
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"""
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)
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# 3. Wire the button to the function
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submit_btn.click(
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fn=clone_voice,
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inputs=[text_input, lang_input, ref_audio_input],
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outputs=output_audio
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)
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# 4. Launch the app
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if __name__ == "__main__":
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# Gradio 6.0 fix: Moved theme here and removed show_api
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demo.launch(inbrowser=True, theme=gr.themes.Soft())
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