Fix: Gradio 5.49.1 SDK (ZeroGPU requires Gradio), no Gradio in requirements

Dockerfile

@@ -1,18 +0,0 @@
-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

@@ -3,12 +3,14 @@ title: Jiggle Physics Backend
 emoji: 🎯
 colorFrom: purple
 colorTo: indigo
-sdk: docker
+sdk: gradio
+sdk_version: "5.49.1"
+app_file: app.py
 pinned: false
 license: mit
 ---
 
-REST API for the Jiggle Physics Simulator. Runs FastAPI + ZeroGPU (Docker SDK).
+REST API for the Jiggle Physics Simulator. Routes mounted on Gradio 5's FastAPI instance for ZeroGPU compatibility.
 
 | Endpoint | Method | What it does |
 |---|---|---|

app.py

@@ -1,31 +1,32 @@
 """
-Jiggle Physics Simulator — HuggingFace Space backend (Docker SDK)
-ZeroGPU works with Docker Spaces — @spaces.GPU allocates A10G per request.
+Jiggle Physics Simulator — HuggingFace Space backend
+Gradio 5 SDK + ZeroGPU. Routes added to demo.app (Gradio's FastAPI instance).
 """
 import base64
 import io
 import json
 from typing import Optional
 
+import gradio as gr
 import spaces
 import numpy as np
-from fastapi import FastAPI, File, Form, UploadFile, HTTPException
+from fastapi import File, Form, UploadFile, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import Response
 from PIL import Image
 
-app = FastAPI(title="Jiggle Physics ML API")
+# ── Minimal Gradio app required for ZeroGPU Spaces ───────────────────────────
+with gr.Blocks(title="Jiggle Physics API") as demo:
+    gr.Markdown("## Jiggle Physics ML API\nEndpoints: `/health` `/segment` `/depth` `/reconstruct`")
 
-app.add_middleware(
+# Add CORS to Gradio's underlying FastAPI app
+demo.app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
     allow_methods=["POST", "GET"],
     allow_headers=["*"],
 )
 
-# Export for uvicorn CMD in Dockerfile
-asgi_app = app
-
 
 def _load_image(upload: UploadFile) -> Image.Image:
     data = upload.file.read()
@@ -39,12 +40,12 @@ def _load_image(upload: UploadFile) -> Image.Image:
     return img
 
 
-@app.get("/health")
+@demo.app.get("/health")
 def health():
     return {"status": "ok"}
 
 
-@app.post("/segment")
+@demo.app.post("/segment")
 @spaces.GPU
 async def segment(
     image: UploadFile = File(...),
@@ -88,7 +89,7 @@ async def segment(
     return {"regions": encoded, "image_size": [img.width, img.height]}
 
 
-@app.post("/depth")
+@demo.app.post("/depth")
 @spaces.GPU
 async def depth(image: UploadFile = File(...)):
     """Apple Depth Pro depth estimation. Returns base64 float32 depth map."""
@@ -113,7 +114,7 @@ async def depth(image: UploadFile = File(...)):
     }
 
 
-@app.post("/reconstruct")
+@demo.app.post("/reconstruct")
 @spaces.GPU
 async def reconstruct(
     image: UploadFile = File(...),
@@ -150,3 +151,7 @@ async def reconstruct(
         raise HTTPException(status_code=500, detail=str(e))
 
     return Response(content=glb_bytes, media_type="application/octet-stream")
+
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)