Spaces:
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Sleeping
| title: VideoVoice Translate | |
| emoji: 🎬 | |
| colorFrom: purple | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 5.49.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| sdk_variant: zerogpu | |
| # 🎬 Video Voice Translator | |
| Translate videos to different languages while preserving the original voice characteristics using AI voice cloning! | |
| ## Features | |
| - 🎙️ **Voice Cloning**: Preserves the original speaker's voice characteristics | |
| - 🌍 **Multi-language Support**: Translate to multiple languages | |
| - 🚀 **GPU Acceleration**: Automatically uses GPU when available (including ZeroGPU on Hugging Face Spaces) | |
| - 📝 **Transcription & Translation**: View detailed transcription and translation | |
| ## Technology Stack | |
| - **faster-whisper**: Fast and accurate speech transcription | |
| - **Google Translate**: Translation engine | |
| - **Chatterbox TTS**: Advanced voice cloning and text-to-speech | |
| - **Gradio**: User-friendly web interface | |
| ## Usage | |
| 1. Upload a video file | |
| 2. Select the target language | |
| 3. Click "Start Translation" | |
| 4. Wait for processing (progress will be shown) | |
| 5. Download your translated video! | |
| ## Deployment | |
| ### Hugging Face Spaces (ZeroGPU) | |
| This app is optimized for Hugging Face Spaces with ZeroGPU support. The app will automatically: | |
| - Detect and use GPU when available | |
| - Apply ZeroGPU decorators for efficient GPU allocation | |
| - Fall back to CPU if GPU is not available | |
| ### Local Development | |
| ```bash | |
| # Install dependencies | |
| pip install -r requirements.txt | |
| # Run the app | |
| python app.py | |
| ``` | |
| The app will automatically detect if you have a CUDA-capable GPU and use it for faster processing. | |
| ## Configuration Reference | |
| Check out the [Hugging Face Spaces configuration reference](https://huggingface.co/docs/hub/spaces-config-reference) for more details. | |