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MohammedMediani/darija-aicc-api

sourceHugging Faceupdated 8mo agoView on Hugging Face

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App README

Darija NLU API 🚀

![API Status](https://mohammedmediani-darija-aicc-api.hf.space/docs) ![Python](https://python.org) ![FastAPI](https://fastapi.tiangolo.com) ![Model](https://huggingface.co/MohammedMediani/marbert-fine-tuned-darija-aicc)

A professional REST API for Natural Language Understanding (NLU) in Moroccan Arabic (Darija). Designed to power intelligent contact centers and automated support systems.

🔗 Ecosystem

Project	Description	Link
📺 Demo App	Interactive Streamlit UI	Go to Space
🧠 Model	Fine-tuned MARBERTv2	Go to Model
💻 Source Code	GitHub Repository	Go to GitHub

🚀 Quick Usage

Endpoint: `/predict` (POST)

Request:

json

{
  "text": "bghit n3raf solde dyali"
}

Response:

json

{
  "intent": "consulter_solde",
  "confidence": 0.985
}

Try it with cURL

bash

curl -X 'POST' \
  'https://mohammedmediani-darija-aicc-api.hf.space/predict' \
  -H 'Content-Type: application/json' \
  -d '{"text": "llah ykhalik bghit nchof factura"}'

📋 Features

—9 Intent Categories: From balance checks (consulter_solde) to technical support (declarer_panne).
—High Performance: Fine-tuned MARBERTv2 achieving >92% F1-score.
—Production Ready: Built with FastAPI, utilizing async capabilities and robust error handling.
—Code-Switching: Handles mixed Darija/French input natively.

📄 License

Apache 2.0