metadata

title: Arabic RAG with DSPy
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.33.0
app_file: app.py
pinned: false

🧠 Arabic RAG System with DSPy + Gradio

This is a full Hugging Face Space project that allows:

🧾 Uploading Arabic PDF documents.
🧠 Storing and indexing chunks using ChromaDB and SentenceTransformers.
❓ Asking questions and generating answers using DSPy with context retrieval.
⚙️ Improving answer accuracy using MIPROv2 optimization based on trainset.jsonl and valset.jsonl.

🚀 How to Use

Go to the "📥 تحميل وتخزين" tab to upload your Arabic PDF file.
Go to the "❓ سؤال" tab to type a question.
(Optional) Go to the "⚙️ تحسين النموذج" tab to upload training and validation sets for improving answer accuracy.

File	Description
`app.py`	Main Gradio interface and DSPy logic
`requirements.txt`	Python dependencies
`trainset.jsonl`	Example training data (question/answer pairs)
`valset.jsonl`	Example validation data (question/answer pairs)

This project supports full Arabic interaction and is optimized for educational and research purposes.
You can use any Arabic-compatible LLM via DSPy (e.g., OpenAI, OpenChat, Mistral).