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@@ -7,38 +7,4 @@ sdk: docker
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  pinned: false
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  license: mit
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  hardware: cpu-basic
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- ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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-
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- ## Inpainting API (FastAPI)
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- - Auth: optional Bearer via env `API_TOKEN`. If set, send `Authorization: Bearer <token>`.
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-
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- Endpoints:
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- - `GET /health` → {"status":"healthy"}
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- - `POST /upload-image` (form-data: image=file) → {"id":"<image_id>","filename":"name.png"}
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- - `POST /upload-mask` (form-data: mask=file) → {"id":"<mask_id>","filename":"mask.png"}
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- - `POST /inpaint` (JSON: {image_id, mask_id}) → {"result":"output_xxx.png"}
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- - `POST /inpaint-url` (JSON: {image_id, mask_id}) → {"result":"output_xxx.png","url":"https://.../download/output_xxx.png"}
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- - `POST /inpaint-multipart` (form-data: image=file, mask=file) → {"result":"output_xxx.png"}
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- - `GET /download/{filename}` → image file (public; optional for ID-based inpaint)
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- - `GET /result/{filename}` → view result image in browser (public)
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- - `GET /logs` → recent uploads/results
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-
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- Note:
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- - `POST /inpaint` returns simple JSON with just the filename.
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- - `POST /inpaint-url` returns JSON with filename and shareable URL.
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- - Use `/download/{filename}` or `/result/{filename}` to access the result image.
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- - You can optionally pass a `prompt` string with `/inpaint`, `/inpaint-url`, or `/inpaint-multipart` to describe what should be removed; the mask still controls the exact region.
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-
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- ## Remote inference (Gemini / Imagen edit)
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- - Local processing is limited to mask prep and file IO; the heavy lifting is done via Google Gemini/Imagen edit API (CPU-only container is fine).
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- - Required env: `GEMINI_API_KEY` (or `GOOGLE_API_KEY` / `GOOGLE_GENAI_API_KEY`).
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- - Optional env:
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- - `GEMINI_IMAGE_EDIT_MODEL` to override the model id (default: `imagen-3.0-edit-001`).
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- - `GEMINI_IMAGE_EDIT_PROMPT` to override the default prompt: "Remove the objects marked by the provided mask and fill the background naturally."
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- - Uploaded images/masks are stored in MongoDB GridFS in the `object_remover` database (`MONGO_URI`/`MONGODB_URI` env); IDs returned by `/upload-image` and `/upload-mask` are fetched back from GridFS before calling Gemini.
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-
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- ## Local run
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- - Install deps: `python3 -m pip install -r requirements.txt`
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- - Run API: `python3 -m uvicorn api.main:app --host 0.0.0.0 --port 7860`
 
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  pinned: false
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  license: mit
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  hardware: cpu-basic
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+ ---