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Michael Hu
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initial app file development
Browse files- README.md +42 -2
- app.py +77 -4
- requirements.txt +4 -0
README.md
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title: Chatterbox
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---
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title: Chatterbox Multilingual TTS Demo
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emoji: 👁
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---
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# Chatterbox Multilingual TTS Demo
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This demo showcases the multilingual capabilities of the Chatterbox TTS model, supporting both English and Chinese languages.
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## Features
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- Text-to-speech generation for English and Chinese
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- Gradio web interface for easy interaction
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- Real-time audio generation and playback
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- Example texts for quick testing
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## Requirements
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- Python 3.8 or higher
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- Required Python packages (automatically installed by Hugging Face):
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- chatterbox-tts
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- gradio
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- torchaudio
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- torch
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## Usage
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1. Enter text in the input box
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2. Select the language (English or Chinese)
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3. Click "Generate Speech"
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4. Listen to the generated audio
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## Supported Languages
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- English
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- Chinese
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## Examples
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The interface includes example texts for both languages to help you get started quickly.
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## Notes
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- The first generation may take a moment as the model loads
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- Subsequent generations will be faster
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- For best results, use clear and properly punctuated text
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app.py
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import gradio as gr
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import gradio as gr
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import torchaudio as ta
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import torch
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import tempfile
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import os
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from chatterbox.mtl_tts import ChatterboxMultilingualTTS
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# Initialize the multilingual model
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model = ChatterboxMultilingualTTS.from_pretrained(device="cuda" if torch.cuda.is_available() else "cpu")
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def generate_speech(text, language):
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"""
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Generate speech from text using Chatterbox multilingual TTS
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Args:
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text (str): Text to convert to speech
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language (str): Language code ('en' for English, 'zh' for Chinese)
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Returns:
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str: Path to the generated audio file
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"""
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# Map language codes to full names for Chatterbox
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language_map = {
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"English": "en",
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"Chinese": "zh"
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}
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language_id = language_map.get(language, "en")
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# Generate speech using Chatterbox
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wav = model.generate(text, language_id=language_id)
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# Save to a temporary file
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp_file:
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ta.save(tmp_file.name, wav, model.sr)
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return tmp_file.name
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# Create Gradio interface
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with gr.Blocks(title="Chatterbox Multilingual TTS Demo") as demo:
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gr.Markdown("# Chatterbox Multilingual TTS Demo")
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gr.Markdown("This demo uses Chatterbox to generate speech in English and Chinese.")
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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="Input Text",
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placeholder="Enter text to convert to speech...",
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lines=3
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)
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language_selection = gr.Radio(
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choices=["English", "Chinese"],
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value="English",
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label="Language"
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)
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generate_btn = gr.Button("Generate Speech")
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with gr.Column():
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audio_output = gr.Audio(label="Generated Speech", type="filepath")
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# Examples
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gr.Examples(
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examples=[
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["Hello, welcome to the Chatterbox multilingual demo. This is an English example.", "English"],
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["你好,欢迎来到Chatterbox多语言演示。这是一个中文示例。", "Chinese"]
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],
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inputs=[text_input, language_selection],
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outputs=audio_output,
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fn=generate_speech,
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cache_examples=True
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)
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# Connect the generate button to the function
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generate_btn.click(
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fn=generate_speech,
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inputs=[text_input, language_selection],
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outputs=audio_output
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)
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
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chatterbox-tts
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gradio>=5.44.1
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torchaudio
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torch
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