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Browse files- README.md +2 -2
- app.py +3 -3
- app_simple.py +96 -0
- requirements.txt +1 -1
README.md
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@@ -4,8 +4,8 @@ emoji: 🎤
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.44.
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app_file:
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pinned: false
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license: mit
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---
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.44.1
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app_file: app_simple.py
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pinned: false
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license: mit
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---
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app.py
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@@ -138,8 +138,7 @@ def create_demo():
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["Welcome to our high-quality text-to-speech system.", "expr-voice-3-f"],
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["This model works without requiring a GPU.", "expr-voice-3-m"],
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],
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inputs=[text_input, voice_dropdown]
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label="Try these examples:"
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)
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# Footer
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=
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)
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["Welcome to our high-quality text-to-speech system.", "expr-voice-3-f"],
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["This model works without requiring a GPU.", "expr-voice-3-m"],
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],
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inputs=[text_input, voice_dropdown]
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)
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# Footer
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=True,
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debug=False
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)
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app_simple.py
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import gradio as gr
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import soundfile as sf
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import numpy as np
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from kittentts import KittenTTS
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# Initialize the model
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model = KittenTTS("KittenML/kitten-tts-nano-0.1")
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# Available voices
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AVAILABLE_VOICES = [
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'expr-voice-2-m', 'expr-voice-2-f', 'expr-voice-3-m', 'expr-voice-3-f',
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'expr-voice-4-m', 'expr-voice-4-f', 'expr-voice-5-m', 'expr-voice-5-f'
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]
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def generate_speech(text, voice):
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"""Generate speech from text using KittenTTS"""
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if not text.strip():
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return None, "Please enter some text to generate speech."
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try:
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# Generate audio
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audio = model.generate(text, voice=voice)
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# Convert to the format expected by Gradio
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if len(audio.shape) > 1:
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audio = audio.mean(axis=1) # Convert stereo to mono if needed
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# Normalize audio
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audio = audio / np.max(np.abs(audio)) if np.max(np.abs(audio)) > 0 else audio
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return audio, f"✅ Successfully generated speech with voice: {voice}"
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except Exception as e:
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return None, f"❌ Error generating speech: {str(e)}"
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# Create the interface
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with gr.Blocks(title="KittenTTS - High Quality Text-to-Speech") as demo:
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gr.HTML("""
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<div style="text-align: center; margin-bottom: 2rem;">
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<h1>🎤 KittenTTS</h1>
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<p><em>High Quality Text-to-Speech Generation</em></p>
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</div>
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""")
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with gr.Row():
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with gr.Column():
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text_input = gr.Textbox(
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label="Enter your text",
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placeholder="Type or paste your text here...",
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lines=4
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)
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voice_dropdown = gr.Dropdown(
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choices=AVAILABLE_VOICES,
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value=AVAILABLE_VOICES[1],
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label="Select Voice"
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)
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generate_btn = gr.Button("🎵 Generate Speech", variant="primary")
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with gr.Column():
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gr.HTML("""
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<div style="background: #f0f0f0; padding: 1rem; border-radius: 8px;">
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<h3>Available Voices:</h3>
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<ul>
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<li><strong>Male:</strong> expr-voice-2-m, expr-voice-3-m, expr-voice-4-m, expr-voice-5-m</li>
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<li><strong>Female:</strong> expr-voice-2-f, expr-voice-3-f, expr-voice-4-f, expr-voice-5-f</li>
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</ul>
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</div>
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""")
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audio_output = gr.Audio(label="Generated Audio")
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status_output = gr.Textbox(label="Status", interactive=False)
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# Connect the generate button
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generate_btn.click(
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fn=generate_speech,
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inputs=[text_input, voice_dropdown],
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outputs=[audio_output, status_output]
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)
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# Auto-generate when text is entered and Enter is pressed
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text_input.submit(
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fn=generate_speech,
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inputs=[text_input, voice_dropdown],
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outputs=[audio_output, status_output]
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)
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# Launch the demo
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if __name__ == "__main__":
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=True
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)
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requirements.txt
CHANGED
@@ -1,4 +1,4 @@
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gradio
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https://github.com/KittenML/KittenTTS/releases/download/0.1/kittentts-0.1.0-py3-none-any.whl
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soundfile
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numpy
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gradio==4.44.1
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https://github.com/KittenML/KittenTTS/releases/download/0.1/kittentts-0.1.0-py3-none-any.whl
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soundfile
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numpy
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