Spaces:
Sleeping
Sleeping
Bgk Injector SqLi commited on
Commit ·
94efae4
1
Parent(s): 9df0966
upda requirment
Browse files- README copy.md +91 -0
- requirements.txt +3 -0
README copy.md
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| 1 |
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---
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title: Wami - Dioula STT & TTS API
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emoji: 🎙️
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colorFrom: blue
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colorTo: green
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sdk: docker
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app_port: 7860
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---
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# Wami - API Dioula STT & TTS
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API de reconnaissance vocale (Speech-to-Text) et synthèse vocale (Text-to-Speech) en langue Dioula.
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## Utilisation
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### Endpoints disponibles
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#### 1. Speech-to-Text (STT)
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Transcrit un fichier audio en texte Dioula.
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```bash
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curl -X POST https://votre-space-name.hf.space/api/stt \
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-F "audio=@recording.wav"
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```
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**Réponse:**
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```json
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{
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"transcription": "texte transcrit en dioula"
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}
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```
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#### 2. Text-to-Speech (TTS)
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Génère un audio en Dioula depuis du texte.
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```bash
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curl -X POST https://votre-space-name.hf.space/api/tts \
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-F "text=na an be do minkɛ" \
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-o output.wav
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```
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**Réponse:** Fichier audio WAV
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#### 3. Health Check
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Vérifie le statut de l'API.
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```bash
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curl https://votre-space-name.hf.space/health
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```
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**Réponse:**
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```json
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{
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"status": "healthy",
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"device": "cuda",
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"models_loaded": {
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"stt": true,
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"tts": true
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}
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}
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```
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## 📖 Documentation interactive
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- **Swagger UI:** `https://votre-space-name.hf.space/docs`
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- **ReDoc:** `https://votre-space-name.hf.space/redoc`
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## 🔧 Modèles utilisés
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- **STT:** [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) (adapter Dioula)
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- **TTS:** [facebook/mms-tts-dyu](https://huggingface.co/facebook/mms-tts-dyu)
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## 💻 Déploiement local
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```bash
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pip install -r requirements.txt
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python app.py
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```
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Ouvrez [http://localhost:7860](http://localhost:7860)
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## 🌍 À propos du Dioula
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Le Dioula (code langue: `dyu`) est une langue mandée parlée principalement en Côte d'Ivoire, au Burkina Faso et au Mali.
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## 📝 Licence
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Les modèles utilisés sont sous licence Apache 2.0. Voir les pages des modèles pour plus de détails.
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requirements.txt
CHANGED
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@@ -6,3 +6,6 @@ soundfile>=0.12.0
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torch>=2.5.0
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torchaudio>=2.5.0
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transformers>=4.40.0
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torch>=2.5.0
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torchaudio>=2.5.0
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transformers>=4.40.0
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torchvision
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humanfriendly
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scipy
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