Docs: README + MIT license + repo .gitignore

.gitignore

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-venv/
-.venv/
+venv/
 __pycache__/
 *.pyc
 *.pyo
-*.pyd
 *.log
-.env
-data/uploads/
-data/index/
-.git
-.gitignore
+*.DS_Store
+/app/.cache/
+/app/data/uploads/
+/app/data/index/
+*.npy
+*.faiss
+faiss.index
+*.pdf

LICENSE

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+MIT License
+
+Copyright (c) 2025 Hamid Omarov
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+... (MIT m?tni tam) ...

README.md

@@ -1,10 +1,20 @@
----
-title: FastAPI RAG API
-emoji: 📄
-colorFrom: gray
-colorTo: blue
-sdk: docker
-app_file: app.py
-app_port: 7860
-pinned: false
----
+# FastAPI RAG API
+
+**Live demo**
+- API (HF Space): https://huggingface.co/spaces/HamidOmarov/FastAPI-RAG-API
+- Dashboard (HF Space): https://huggingface.co/spaces/HamidOmarov/RAG-Dashboard
+
+## What it does
+Ask questions about your PDFs using vector search (FAISS) + sentence embeddings.
+Robust to numeric/table-heavy docs, with AZ>EN translation and fallbacks.
+
+## Quick test
+curl -F "file=@sample.pdf" https://<api>/upload_pdf
+curl -H "Content-Type: application/json" ^
+  -d "{\"question\":\"What is the document about?\",\"top_k\":5}" https://<api>/ask_question
+
+## Ops
+- GET /health  - GET /stats  - POST /reset_index
+
+## Stack
+FastAPI � FAISS � sentence-transformers � pdfminer.six � Hugging Face Spaces