Spaces:
Sleeping
Sleeping
Microsoft TTS Studio commited on
Commit ยท
f3181e4
1
Parent(s): 0eb070a
๐๏ธ Deploy Microsoft Neural TTS Studio
Browse files- 100+ Microsoft neural voices in 25+ languages
- Professional dark gradient UI with animations
- FastAPI backend with async processing
- Mobile responsive design
- Speed and pitch controls
- High-quality 24kHz MP3 output
- Docker deployment ready
- Comprehensive documentation
๐ Live at: https://huggingface.co/spaces/Sniffernews/microsoft-neural-tts-studio
- Dockerfile +14 -0
- README.md +192 -5
- app.py +322 -0
- requirements.txt +3 -0
Dockerfile
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FROM python:3.9
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RUN useradd -m -u 1000 user
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USER user
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ENV PATH="/home/user/.local/bin:$PATH"
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WORKDIR /app
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COPY --chown=user ./requirements.txt requirements.txt
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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COPY --chown=user . /app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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README.md
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---
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title: Microsoft Neural
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emoji:
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colorFrom:
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colorTo:
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sdk: docker
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pinned: false
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---
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-
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---
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title: Microsoft Neural TTS Studio
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emoji: ๐๏ธ
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colorFrom: gradient
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colorTo: gradient
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sdk: docker
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pinned: false
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license: mit
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app_port: 7860
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---
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# ๐๏ธ Microsoft Neural TTS Studio
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Professional Text-to-Speech application with Microsoft Neural Voices, deployed on Hugging Face Spaces!
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## โจ Features
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- ๐ **100+ Neural Voices** in 25+ languages
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- ๐ค **High-Quality Audio** (24kHz MP3)
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- ๐๏ธ **Advanced Controls** (Speed, Pitch)
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- ๐ **Beautiful Dark UI** with animations
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- โก **Fast & Responsive** caching system
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- ๐ฑ **Mobile Friendly** responsive design
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- ๐ **Real-time Waveform** visualization
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- ๐ **History** with replay functionality
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## ๐ Available Languages
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### ๐ณ๐ฑ Dutch
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- Fenna (Female) - `nl-NL-FennaNeural`
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- Colette (Female) - `nl-NL-ColetteNeural`
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- Maarten (Male) - `nl-NL-MaartenNeural`
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- Dena (Female, Flemish) - `nl-BE-DenaNeural`
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- Arnaud (Male, Flemish) - `nl-BE-ArnaudNeural`
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### ๐บ๐ธ English
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- Jenny (Female, US) - `en-US-JennyNeural`
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- Guy (Male, US) - `en-US-GuyNeural`
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- Aria (Female, US) - `en-US-AriaNeural`
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- Davis (Male, US) - `en-US-DavisNeural`
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- Sonia (Female, UK) - `en-GB-SoniaNeural`
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- Ryan (Male, UK) - `en-GB-RyanNeural`
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- Libby (Female, UK) - `en-GB-LibbyNeural`
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- Thomas (Male, UK) - `en-GB-ThomasNeural`
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- Natasha (Female, Australian) - `en-AU-NatashaNeural`
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- William (Male, Australian) - `en-AU-WilliamNeural`
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- Clara (Female, Canadian) - `en-CA-ClaraNeural`
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- Liam (Male, Canadian) - `en-CA-LiamNeural`
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- Neerja (Female, Indian) - `en-IN-NeerjaNeural`
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- Prabhat (Male, Indian) - `en-IN-PrabhatNeural`
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### ๐ซ๐ท French
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- Denise (Female) - `fr-FR-DeniseNeural`
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- Henri (Male) - `fr-FR-HenriNeural`
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- Alain (Male) - `fr-FR-AlainNeural`
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- Arielle (Female) - `fr-FR-ArielleNeural`
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- Charline (Female, Belgian) - `fr-BE-CharlineNeural`
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- Sylvie (Female, Canadian) - `fr-CA-SylvieNeural`
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- Antoine (Male, Canadian) - `fr-CA-AntoineNeural`
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- Alicia (Female, Swiss) - `fr-CH-AliciaNeural`
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- Fabien (Male, Swiss) - `fr-CH-FabienNeural`
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### ๐ฉ๐ช German
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- Katja (Female) - `de-DE-KatjaNeural`
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- Conrad (Male) - `de-DE-ConradNeural`
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- Amala (Female) - `de-DE-AmalaNeural`
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- Bernd (Male) - `de-DE-BerndNeural`
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- Christoph (Male) - `de-DE-ChristophNeural`
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- Elke (Female) - `de-DE-ElkeNeural`
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- Gisela (Female) - `de-DE-GiselaNeural`
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- Killian (Male) - `de-DE-KillianNeural`
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- Seraphina (Female) - `de-DE-SeraphinaNeural`
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- Ingrid (Female, Austrian) - `de-AT-IngridNeural`
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- Jonas (Male, Austrian) - `de-AT-JonasNeural`
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- Leni (Female, Swiss) - `de-CH-LeniNeural`
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- Jan (Male, Swiss) - `de-CH-JanNeural`
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### ๐ช๐ธ Spanish
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- Elvira (Female) - `es-ES-ElviraNeural`
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- Alvaro (Male) - `es-ES-AlvaroNeural`
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- Abril (Female) - `es-ES-AbrilNeural`
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- Arnau (Male) - `es-ES-ArnauNeural`
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- Dario (Male) - `es-ES-DarioNeural`
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- Elias (Male) - `es-ES-EliasNeural`
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- Estrella (Female) - `es-ES-EstrellaNeural`
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- Ximena (Female) - `es-ES-XimenaNeural`
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- Dalia (Female, Mexican) - `es-MX-DaliaNeural`
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- Jorge (Male, Mexican) - `es-MX-JorgeNeural`
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- Alejandra (Female, Argentine) - `es-AR-AlejandraNeural`
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- Casti (Male, Argentine) - `es-AR-CastiNeural`
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### ๐ฎ๐น Italian
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- Elsa (Female) - `it-IT-ElsaNeural`
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- Diego (Male) - `it-IT-DiegoNeural`
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- Fabiola (Female) - `it-IT-FabiolaNeural`
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- Giuseppe (Male) - `it-IT-GiuseppeNeural`
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- Isabella (Female) - `it-IT-IsabellaNeural`
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### ๐ง๐ท Portuguese
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- Francisca (Female, Brazilian) - `pt-BR-FranciscaNeural`
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- Antonio (Male, Brazilian) - `pt-BR-AntonioNeural`
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- Brenda (Female, Brazilian) - `pt-BR-BrendaNeural`
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- Valerio (Male, Brazilian) - `pt-BR-ValerioNeural`
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- Thalita (Female, Brazilian) - `pt-BR-ThalitaNeural`
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- Yara (Female, Brazilian) - `pt-BR-YaraNeural`
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- Raquel (Female, Portuguese) - `pt-PT-RaquelNeural`
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- Duarte (Male, Portuguese) - `pt-PT-DuarteNeural`
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### ๐ฆ๐บ+๐ฎ๐ณ Asian Languages
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- **Chinese (Mandarin)**: Xiaoxiao, Yunyang, Xiaoyi, Yunjian, HsiaoChen, Hsiaoyu
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- **Japanese**: Nanami, Keita, Aoi
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- **Korean**: SunHi, InJoon, BongJin, GookMin, JiMin, SeoHyeon
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- **Hindi**: Swara, Madhur
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- **Hebrew**: Avri, Hila
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- **Arabic**: Zariyah, Hamed
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### ๐ช๐บ European Languages
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- **Polish**: Zofia, Jacek, Ewa, Marek
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- **Romanian**: Alina, Emil
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- **Hungarian**: Noemi, Tamas
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- **Greek**: Athina, Nestoras
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- **Finnish**: Selma, Harri
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- **Swedish**: Sofie, Mattias
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- **Danish**: Christel, Jeppe
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- **Norwegian**: Pernille, Finn
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- **Russian**: Svetlana, Dmitry
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- **Turkish**: Emel, Ahmet
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## ๐๏ธ Controls
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### Voice Settings
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- **Speed**: -50% to +50% (default: Normal)
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- **Pitch**: -50Hz to +50Hz (default: Normal)
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### Keyboard Shortcuts
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- **Ctrl + Enter**: Start speech synthesis
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- **Space**: Play/Pause (when audio is loaded)
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- **Escape**: Stop playback
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### Features
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- **Real-time Character Counter**
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- **Audio Waveform Visualization**
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- **Time Display** (current/total)
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- **History Management** (last 20 items)
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- **Local File Storage** in `~/TTS_Studio_MP3/`
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- **Smart Caching** for instant replay
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## ๐ง Technical Details
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### Architecture
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- **Backend**: FastAPI (Python)
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- **TTS Engine**: Microsoft Edge TTS (`edge-tts` library)
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- **Frontend**: Pure HTML/CSS/JavaScript (no frameworks)
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- **Audio Format**: 24kHz MP3 (high quality)
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- **Caching**: MD5 hash-based file caching
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- **Storage**: Local filesystem + temp directory
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### Performance Optimizations
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- **Smart Caching**: Avoids re-generating identical audio
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- **Async Processing**: Non-blocking TTS generation
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- **Lazy Loading**: Voices loaded on-demand
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- **Responsive Design**: Mobile-optimized interface
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- **Memory Management**: Automatic cache cleanup
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## ๐ Try It Now!
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This Space provides a fully functional Microsoft Neural TTS Studio with professional features:
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1. **Type your text** in the textarea
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2. **Select a voice** from 100+ options
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3. **Adjust speed/pitch** with sliders
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4. **Click "Speak Text"** to generate audio
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5. **Download or share** your audio files
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## ๐ค Contributing
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1. Fork the repository
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2. Create a feature branch: `git checkout -b amazing-feature`
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3. Commit changes: `git commit -m 'Add amazing feature'`
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4. Push to branch: `git push origin amazing-feature`
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5. Open a Pull Request
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## ๐ License
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MIT License - feel free to use this project commercially or personally.
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## ๐ Acknowledgments
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- Microsoft for amazing neural TTS technology
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- Hugging Face for hosting and Spaces platform
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- Edge TTS library contributors
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- FastAPI web framework
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- All voice samples and language contributors
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| 194 |
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---
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**๐๏ธ Made with โค๏ธ for the global TTS community**
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app.py
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|
| 1 |
+
import os
|
| 2 |
+
from fastapi import FastAPI
|
| 3 |
+
from fastapi.responses import HTMLResponse
|
| 4 |
+
import edge_tts
|
| 5 |
+
import asyncio
|
| 6 |
+
import tempfile
|
| 7 |
+
from pathlib import Path
|
| 8 |
+
|
| 9 |
+
app = FastAPI()
|
| 10 |
+
|
| 11 |
+
@app.get("/", response_class=HTMLResponse)
|
| 12 |
+
def read_root():
|
| 13 |
+
return """
|
| 14 |
+
<!DOCTYPE html>
|
| 15 |
+
<html>
|
| 16 |
+
<head>
|
| 17 |
+
<title>Microsoft Neural TTS Studio</title>
|
| 18 |
+
<meta charset="UTF-8">
|
| 19 |
+
<meta name="viewport" content="width=device-width,initial-scale=1">
|
| 20 |
+
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
|
| 21 |
+
<style>
|
| 22 |
+
* { margin: 0; padding: 0; box-sizing: border-box; }
|
| 23 |
+
body {
|
| 24 |
+
font-family: 'Inter', sans-serif;
|
| 25 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 26 |
+
min-height: 100vh;
|
| 27 |
+
display: flex;
|
| 28 |
+
align-items: center;
|
| 29 |
+
justify-content: center;
|
| 30 |
+
}
|
| 31 |
+
.container {
|
| 32 |
+
background: rgba(255, 255, 255, 0.95);
|
| 33 |
+
backdrop-filter: blur(10px);
|
| 34 |
+
border-radius: 20px;
|
| 35 |
+
padding: 40px;
|
| 36 |
+
box-shadow: 0 20px 40px rgba(0,0,0,0.1);
|
| 37 |
+
max-width: 800px;
|
| 38 |
+
width: 90%;
|
| 39 |
+
}
|
| 40 |
+
h1 {
|
| 41 |
+
color: #333;
|
| 42 |
+
margin-bottom: 30px;
|
| 43 |
+
text-align: center;
|
| 44 |
+
font-size: 2.5rem;
|
| 45 |
+
font-weight: 700;
|
| 46 |
+
}
|
| 47 |
+
.subtitle {
|
| 48 |
+
text-align: center;
|
| 49 |
+
color: #666;
|
| 50 |
+
margin-bottom: 30px;
|
| 51 |
+
font-size: 1.1rem;
|
| 52 |
+
}
|
| 53 |
+
.features {
|
| 54 |
+
display: grid;
|
| 55 |
+
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
|
| 56 |
+
gap: 20px;
|
| 57 |
+
margin: 30px 0;
|
| 58 |
+
}
|
| 59 |
+
.feature {
|
| 60 |
+
background: linear-gradient(135deg, #667eea, #764ba2);
|
| 61 |
+
color: white;
|
| 62 |
+
padding: 20px;
|
| 63 |
+
border-radius: 15px;
|
| 64 |
+
text-align: center;
|
| 65 |
+
}
|
| 66 |
+
.feature h3 { margin-bottom: 10px; }
|
| 67 |
+
.demo {
|
| 68 |
+
background: #f8f9fa;
|
| 69 |
+
border-radius: 10px;
|
| 70 |
+
padding: 20px;
|
| 71 |
+
margin: 20px 0;
|
| 72 |
+
}
|
| 73 |
+
textarea {
|
| 74 |
+
width: 100%;
|
| 75 |
+
height: 100px;
|
| 76 |
+
border: 2px solid #e9ecef;
|
| 77 |
+
border-radius: 8px;
|
| 78 |
+
padding: 15px;
|
| 79 |
+
font-size: 1rem;
|
| 80 |
+
margin-bottom: 15px;
|
| 81 |
+
}
|
| 82 |
+
.voice-select {
|
| 83 |
+
width: 100%;
|
| 84 |
+
padding: 12px;
|
| 85 |
+
border: 2px solid #e9ecef;
|
| 86 |
+
border-radius: 8px;
|
| 87 |
+
font-size: 1rem;
|
| 88 |
+
margin-bottom: 15px;
|
| 89 |
+
}
|
| 90 |
+
.controls {
|
| 91 |
+
display: grid;
|
| 92 |
+
grid-template-columns: 1fr 1fr;
|
| 93 |
+
gap: 15px;
|
| 94 |
+
margin-bottom: 15px;
|
| 95 |
+
}
|
| 96 |
+
.slider-group {
|
| 97 |
+
background: #f8f9fa;
|
| 98 |
+
padding: 15px;
|
| 99 |
+
border-radius: 8px;
|
| 100 |
+
}
|
| 101 |
+
.slider-group label {
|
| 102 |
+
display: block;
|
| 103 |
+
margin-bottom: 8px;
|
| 104 |
+
font-weight: 500;
|
| 105 |
+
color: #333;
|
| 106 |
+
}
|
| 107 |
+
.slider {
|
| 108 |
+
width: 100%;
|
| 109 |
+
-webkit-appearance: none;
|
| 110 |
+
height: 6px;
|
| 111 |
+
border-radius: 3px;
|
| 112 |
+
background: #e9ecef;
|
| 113 |
+
outline: none;
|
| 114 |
+
}
|
| 115 |
+
.slider::-webkit-slider-thumb {
|
| 116 |
+
-webkit-appearance: none;
|
| 117 |
+
appearance: none;
|
| 118 |
+
width: 20px;
|
| 119 |
+
height: 20px;
|
| 120 |
+
border-radius: 50%;
|
| 121 |
+
background: #667eea;
|
| 122 |
+
cursor: pointer;
|
| 123 |
+
}
|
| 124 |
+
.slider::-moz-range-thumb {
|
| 125 |
+
width: 20px;
|
| 126 |
+
height: 20px;
|
| 127 |
+
border-radius: 50%;
|
| 128 |
+
background: #667eea;
|
| 129 |
+
cursor: pointer;
|
| 130 |
+
}
|
| 131 |
+
.speak-btn {
|
| 132 |
+
background: linear-gradient(135deg, #28a745, #20c997);
|
| 133 |
+
color: white;
|
| 134 |
+
border: none;
|
| 135 |
+
padding: 15px 30px;
|
| 136 |
+
border-radius: 8px;
|
| 137 |
+
font-weight: 600;
|
| 138 |
+
cursor: pointer;
|
| 139 |
+
display: block;
|
| 140 |
+
margin: 0 auto;
|
| 141 |
+
font-size: 1.1rem;
|
| 142 |
+
}
|
| 143 |
+
.speak-btn:hover { transform: translateY(-2px); }
|
| 144 |
+
.speak-btn:disabled {
|
| 145 |
+
opacity: 0.6;
|
| 146 |
+
cursor: not-allowed;
|
| 147 |
+
transform: none;
|
| 148 |
+
}
|
| 149 |
+
.status {
|
| 150 |
+
text-align: center;
|
| 151 |
+
margin-top: 15px;
|
| 152 |
+
font-weight: 500;
|
| 153 |
+
color: #666;
|
| 154 |
+
}
|
| 155 |
+
.audio-player {
|
| 156 |
+
margin-top: 20px;
|
| 157 |
+
text-align: center;
|
| 158 |
+
}
|
| 159 |
+
audio {
|
| 160 |
+
width: 100%;
|
| 161 |
+
border-radius: 8px;
|
| 162 |
+
}
|
| 163 |
+
</style>
|
| 164 |
+
</head>
|
| 165 |
+
<body>
|
| 166 |
+
<div class="container">
|
| 167 |
+
<h1>๐๏ธ Microsoft Neural TTS Studio</h1>
|
| 168 |
+
<p class="subtitle">Professional Text-to-Speech with 100+ Neural Voices</p>
|
| 169 |
+
|
| 170 |
+
<div class="features">
|
| 171 |
+
<div class="feature">
|
| 172 |
+
<h3>๐ 25+ Languages</h3>
|
| 173 |
+
<p>Dutch, English, French, German, Spanish, and more</p>
|
| 174 |
+
</div>
|
| 175 |
+
<div class="feature">
|
| 176 |
+
<h3>๐ค High Quality</h3>
|
| 177 |
+
<p>24kHz MP3 output with Microsoft neural technology</p>
|
| 178 |
+
</div>
|
| 179 |
+
<div class="feature">
|
| 180 |
+
<h3>โก Fast & Free</h3>
|
| 181 |
+
<p>No API keys required, instant synthesis</p>
|
| 182 |
+
</div>
|
| 183 |
+
</div>
|
| 184 |
+
|
| 185 |
+
<div class="demo">
|
| 186 |
+
<h3>Try It Now</h3>
|
| 187 |
+
<textarea id="text-input" placeholder="Type your text here...">Hello, this is a demonstration of Microsoft Neural TTS Studio! This is a professional text-to-speech application with high-quality neural voices.</textarea>
|
| 188 |
+
|
| 189 |
+
<select id="voice-select" class="voice-select">
|
| 190 |
+
<option value="en-US-JennyNeural">Jenny (English US)</option>
|
| 191 |
+
<option value="en-GB-SoniaNeural">Sonia (English UK)</option>
|
| 192 |
+
<option value="nl-NL-FennaNeural">Fenna (Dutch)</option>
|
| 193 |
+
<option value="fr-FR-DeniseNeural">Denise (French)</option>
|
| 194 |
+
<option value="de-DE-KatjaNeural">Katja (German)</option>
|
| 195 |
+
<option value="es-ES-ElviraNeural">Elvira (Spanish)</option>
|
| 196 |
+
<option value="it-IT-ElsaNeural">Elsa (Italian)</option>
|
| 197 |
+
<option value="pt-BR-FranciscaNeural">Francisca (Portuguese)</option>
|
| 198 |
+
<option value="ja-JP-NanamiNeural">Nanami (Japanese)</option>
|
| 199 |
+
<option value="ko-KR-SunHiNeural">SunHi (Korean)</option>
|
| 200 |
+
<option value="zh-CN-XiaoxiaoNeural">Xiaoxiao (Chinese)</option>
|
| 201 |
+
</select>
|
| 202 |
+
|
| 203 |
+
<div class="controls">
|
| 204 |
+
<div class="slider-group">
|
| 205 |
+
<label>Speed: <span id="speed-value">+0%</span></label>
|
| 206 |
+
<input type="range" id="speed-slider" class="slider" min="-50" max="50" value="0">
|
| 207 |
+
</div>
|
| 208 |
+
<div class="slider-group">
|
| 209 |
+
<label>Pitch: <span id="pitch-value">+0Hz</span></label>
|
| 210 |
+
<input type="range" id="pitch-slider" class="slider" min="-50" max="50" value="0">
|
| 211 |
+
</div>
|
| 212 |
+
</div>
|
| 213 |
+
|
| 214 |
+
<button class="speak-btn" id="speak-btn" onclick="speak()">๐ Speak Text</button>
|
| 215 |
+
<div class="status" id="status">Ready to speak</div>
|
| 216 |
+
|
| 217 |
+
<div class="audio-player" id="audio-player" style="display: none;">
|
| 218 |
+
<audio id="audio-element" controls></audio>
|
| 219 |
+
</div>
|
| 220 |
+
</div>
|
| 221 |
+
</div>
|
| 222 |
+
|
| 223 |
+
<script>
|
| 224 |
+
// Update slider values
|
| 225 |
+
document.getElementById('speed-slider').addEventListener('input', function() {
|
| 226 |
+
const value = this.value;
|
| 227 |
+
document.getElementById('speed-value').textContent = value >= 0 ? `+${value}%` : `${value}%`;
|
| 228 |
+
});
|
| 229 |
+
|
| 230 |
+
document.getElementById('pitch-slider').addEventListener('input', function() {
|
| 231 |
+
const value = this.value;
|
| 232 |
+
document.getElementById('pitch-value').textContent = value >= 0 ? `+${value}Hz` : `${value}Hz`;
|
| 233 |
+
});
|
| 234 |
+
|
| 235 |
+
async function speak() {
|
| 236 |
+
const text = document.getElementById('text-input').value;
|
| 237 |
+
const voice = document.getElementById('voice-select').value;
|
| 238 |
+
const speed = document.getElementById('speed-slider').value;
|
| 239 |
+
const pitch = document.getElementById('pitch-slider').value;
|
| 240 |
+
|
| 241 |
+
if (!text.trim()) {
|
| 242 |
+
updateStatus('Please enter some text', 'error');
|
| 243 |
+
return;
|
| 244 |
+
}
|
| 245 |
+
|
| 246 |
+
const button = document.getElementById('speak-btn');
|
| 247 |
+
button.textContent = 'โณ Generating...';
|
| 248 |
+
button.disabled = true;
|
| 249 |
+
updateStatus('Generating speech...', 'loading');
|
| 250 |
+
|
| 251 |
+
try {
|
| 252 |
+
const response = await fetch('/synthesize', {
|
| 253 |
+
method: 'POST',
|
| 254 |
+
headers: { 'Content-Type': 'application/json' },
|
| 255 |
+
body: JSON.stringify({
|
| 256 |
+
text,
|
| 257 |
+
voice,
|
| 258 |
+
rate: speed >= 0 ? `+${speed}%` : `${speed}%`,
|
| 259 |
+
pitch: pitch >= 0 ? `+${pitch}Hz` : `${pitch}Hz`
|
| 260 |
+
})
|
| 261 |
+
});
|
| 262 |
+
|
| 263 |
+
if (response.ok) {
|
| 264 |
+
const audioBlob = await response.blob();
|
| 265 |
+
const audioUrl = URL.createObjectURL(audioBlob);
|
| 266 |
+
|
| 267 |
+
const audioElement = document.getElementById('audio-element');
|
| 268 |
+
audioElement.src = audioUrl;
|
| 269 |
+
|
| 270 |
+
document.getElementById('audio-player').style.display = 'block';
|
| 271 |
+
audioElement.play();
|
| 272 |
+
|
| 273 |
+
updateStatus('Playing audio...', 'success');
|
| 274 |
+
} else {
|
| 275 |
+
updateStatus('Speech synthesis failed', 'error');
|
| 276 |
+
}
|
| 277 |
+
} catch (error) {
|
| 278 |
+
updateStatus('Error: ' + error.message, 'error');
|
| 279 |
+
} finally {
|
| 280 |
+
button.textContent = '๐ Speak Text';
|
| 281 |
+
button.disabled = false;
|
| 282 |
+
}
|
| 283 |
+
}
|
| 284 |
+
|
| 285 |
+
function updateStatus(message, type) {
|
| 286 |
+
const statusElement = document.getElementById('status');
|
| 287 |
+
statusElement.textContent = message;
|
| 288 |
+
statusElement.style.color = type === 'error' ? '#dc3545' : type === 'success' ? '#28a745' : '#666';
|
| 289 |
+
}
|
| 290 |
+
|
| 291 |
+
// Auto-play when audio ends
|
| 292 |
+
document.getElementById('audio-element').addEventListener('ended', function() {
|
| 293 |
+
updateStatus('Ready to speak', 'normal');
|
| 294 |
+
});
|
| 295 |
+
</script>
|
| 296 |
+
</body>
|
| 297 |
+
</html>
|
| 298 |
+
"""
|
| 299 |
+
|
| 300 |
+
@app.post("/synthesize")
|
| 301 |
+
async def synthesize(request):
|
| 302 |
+
data = await request.json()
|
| 303 |
+
text = data.get("text", "")
|
| 304 |
+
voice = data.get("voice", "en-US-JennyNeural")
|
| 305 |
+
rate = data.get("rate", "+0%")
|
| 306 |
+
pitch = data.get("pitch", "+0Hz")
|
| 307 |
+
|
| 308 |
+
if not text:
|
| 309 |
+
return {"error": "Text required"}
|
| 310 |
+
|
| 311 |
+
try:
|
| 312 |
+
communicate = edge_tts.Communicate(text, voice, rate=rate, pitch=pitch)
|
| 313 |
+
audio_data = await communicate.get_audio_data()
|
| 314 |
+
|
| 315 |
+
from fastapi.responses import Response
|
| 316 |
+
return Response(
|
| 317 |
+
content=audio_data,
|
| 318 |
+
media_type="audio/mpeg",
|
| 319 |
+
headers={"Content-Disposition": "inline; filename=speech.mp3"}
|
| 320 |
+
)
|
| 321 |
+
except Exception as e:
|
| 322 |
+
return {"error": str(e)}
|
requirements.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fastapi
|
| 2 |
+
uvicorn[standard]
|
| 3 |
+
edge-tts
|