re up reasdme

README.md

@@ -1,27 +1,15 @@
-# HF_Space_API (FastAPI + Docker)
 
-This Space exposes a **REST API** for document processing (summarize, embed, search, process PDFs).
-It is designed to **wrap your existing project** with minimal changes.
+---
+title: Doc Ai Api
 
-## How to use
+emoji: 📊
 
-1. Create a new **Hugging Face Space** → **Docker** template.
-2. Push this folder to that Space (or upload as a ZIP and use the Space UI).
-3. Set Space **Hardware** (e.g., T4 or A10G for GPU) and add **Space secrets** if needed:
-   - `HF_TOKEN` (optional, for private models)
-   - `API_SECRET` (optional, simple bearer auth)
+colorFrom: yellow
 
-4. Wire your own modules inside `app.py` (see TODO markers).
+colorTo: red
 
-## Endpoints
+sdk: docker
 
-- `GET /health`
-- `POST /embed` — JSON: `{ "texts": ["..."] }`
-- `POST /summarize` — JSON: `{ "text": "..." }`
-- `POST /search` — JSON: `{ "query": "...", "k": 5 }` (dummy store until you wire your FAISS index)
-- `POST /process_pdf` — multipart/form-data: `[email protected]`
-
-## Notes
-
-- Default uses `faiss-cpu`. On GPU Space you may switch to `faiss-gpu` in `requirements.txt`.
-- Avoid committing local cached models into git. Publish models to the Hub and **download at startup**.
+pinned: false
+---
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference