Switch to Docker SDK — clean FastAPI + ZeroGPU, no Gradio conflict

Dockerfile

@@ -0,0 +1,18 @@
+FROM python:3.10-slim
+
+WORKDIR /app
+
+# System deps for OpenCV and trimesh
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    libgl1 libglib2.0-0 git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Python deps
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy app
+COPY . .
+
+EXPOSE 7860
+CMD ["uvicorn", "app:asgi_app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -3,14 +3,12 @@ title: Jiggle Physics Backend
 emoji: 🎯
 colorFrom: purple
 colorTo: indigo
-sdk: gradio
-sdk_version: "5.0.0"
-app_file: app.py
+sdk: docker
 pinned: false
 license: mit
 ---
 
-REST API for the Jiggle Physics Simulator. Endpoints mounted on Gradio's FastAPI instance for ZeroGPU compatibility.
+REST API for the Jiggle Physics Simulator. Runs FastAPI + ZeroGPU (Docker SDK).
 
 | Endpoint | Method | What it does |
 |---|---|---|

app.py

@@ -1,27 +1,21 @@
 """
-Jiggle Physics Simulator — HuggingFace Space backend
-ZeroGPU pattern: routes are added to Gradio's underlying FastAPI instance.
-Deploy with sdk: gradio and ZeroGPU hardware selected in Space settings.
+Jiggle Physics Simulator — HuggingFace Space backend (Docker SDK)
+ZeroGPU works with Docker Spaces — @spaces.GPU allocates A10G per request.
 """
 import base64
 import io
 import json
 from typing import Optional
 
-import gradio as gr
 import spaces
 import numpy as np
-from fastapi import File, Form, UploadFile, HTTPException
+from fastapi import FastAPI, File, Form, UploadFile, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import Response
 from PIL import Image
 
-# ── Minimal Gradio UI (required for ZeroGPU Spaces) ──────────────────────────
-with gr.Blocks(title="Jiggle Physics API") as demo:
-    gr.Markdown("## Jiggle Physics ML API\nREST endpoints: `/segment` `/depth` `/reconstruct`")
+app = FastAPI(title="Jiggle Physics ML API")
 
-# Grab Gradio's underlying FastAPI app and add CORS
-app = demo.app
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -29,6 +23,9 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
+# Export for uvicorn CMD in Dockerfile
+asgi_app = app
+
 
 def _load_image(upload: UploadFile) -> Image.Image:
     data = upload.file.read()
@@ -141,7 +138,6 @@ async def reconstruct(
         flat.extend([current] * run)
         current = not current
     mask = np.array(flat, dtype=bool).reshape(shape)
-
     bbox_list = json.loads(bbox)
 
     try:
@@ -154,8 +150,3 @@ async def reconstruct(
         raise HTTPException(status_code=500, detail=str(e))
 
     return Response(content=glb_bytes, media_type="application/octet-stream")
-
-
-# ── Entry point ───────────────────────────────────────────────────────────────
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)

requirements.txt

@@ -1,4 +1,3 @@
-gradio>=5.0.0
 fastapi
 uvicorn
 python-multipart
@@ -11,3 +10,4 @@ trimesh
 pygltflib
 opencv-python-headless
 spaces
+scipy