feat: dockerfile, yaml, requirements, readme

Dockerfile

@@ -0,0 +1,24 @@
+# Base Python image
+FROM python:3.10-slim
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    cmake \
+    libgl1-mesa-glx \
+    && rm -rf /var/lib/apt/lists/*
+
+# Upgrade pip
+RUN pip install --upgrade pip
+
+# Create app working directory
+WORKDIR /app
+
+# Copy all project files
+COPY . .
+
+# Install Python packages
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Start FastAPI server
+CMD ["python", "run_fast_api.py"]

README.md

@@ -0,0 +1,36 @@
+---
+title: "Object Cutter 🧩"
+emoji: "🧩"
+colorFrom: "green"
+colorTo: "green"
+sdk: "docker"
+sdk_version: "3.0"
+python_version: "3.10"
+app_file: "run_fastapi.py"
+fullWidth: true
+header: "default"
+short_description: "AI-powered object cutter using Grounding DINO and SAM."
+models:
+  - "stkrk/sam-vit-b-01ec64"
+datasets:
+  - "None"
+tags:
+  - "Object Detection"
+  - "Segmentation"
+  - "DINO"
+  - "SAM"
+pinned: true
+---
+
+# Object Cutter 🧩
+
+FastAPI-based web app for object detection and segmentation using Grounding DINO + SAM.  
+Upload an image, type your object (e.g., "a cat on a sofa") — get clean PNGs with transparent backgrounds.
+
+## Features
+
+- Prompt-based object detection (Grounding DINO)
+- Precise segmentation (SAM)
+- Simple UI, optimized for mobile
+- Download only what you need — one click
+- Automatic session cleanup

run_fastapi.py

@@ -13,6 +13,8 @@ from database.crud import get_session, delete_session
 from models.sam import SamWrapper
 from models.dino import DinoWrapper
 
+from huggingface_hub import hf_hub_download
+
 # --- Init app and database
 app = FastAPI()
 init_db()
@@ -26,10 +28,13 @@ app.mount("/outputs", StaticFiles(directory="outputs"), name="outputs")
 app.mount("/static", StaticFiles(directory="static"), name="static")
 templates = Jinja2Templates(directory="templates")
 
+# --- Download checkpoint from model-repo
+checkpoint_path = hf_hub_download(repo_id="stkrk/sam-vit-b-checkpoint", filename="sam_vit_b_01ec64.pth")
+
 # --- Model initialization (once)
 sam = SamWrapper(
         model_type="vit_b",
-        checkpoint_path="weights/sam_vit_b_01ec64.pth"
+        checkpoint_path=checkpoint_path
     )
 dino = DinoWrapper()
 

space.yaml

@@ -0,0 +1,10 @@
+title: "Object Cutter 🧩"
+emoji: "🧩"
+colorFrom: "green"
+colorTo: "green"
+sdk: "docker"
+python_version: "3.10"
+app_file: "run_fastapi.py"
+fullWidth: true
+pinned: true
+license: "mit"