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@@ -1,4 +1,4 @@
-FROM nvidia/cuda:12.4.0-devel-ubuntu22.04
+FROM nvidia/cuda:12.4.0-runtime-ubuntu22.04
 
 # Basic deps
 ENV DEBIAN_FRONTEND=noninteractive
@@ -7,22 +7,24 @@ RUN apt-get update && apt-get install -y \
     colmap \
  && rm -rf /var/lib/apt/lists/*
 
-# Create venv and install nerfstudio + api deps
+# Create venv and install minimal deps
 RUN python3.10 -m venv /opt/venv
 ENV PATH="/opt/venv/bin:$PATH"
 RUN pip install --upgrade pip wheel
 
-# Install requirements
-COPY requirements.txt /tmp/requirements.txt
-RUN pip install -r /tmp/requirements.txt
+# Install only essential packages first
+RUN pip install fastapi uvicorn python-multipart gradio
 
-# Workdir
+# Copy app
+COPY app.py /app/app.py
 WORKDIR /app
-COPY . /app
 
 # For GPU
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 
+# Expose ports
 EXPOSE 8000 7860
-CMD ["python", "app.py"]
+
+# Start command
+CMD ["python", "app.py"]

app.py

@@ -39,6 +39,12 @@ async def upload(file: UploadFile = File(...)):
     if has_transforms:
         shutil.copytree(raw_dir, proc_dir, dirs_exist_ok=True)
     else:
+        # Install nerfstudio on demand
+        try:
+            run(["pip", "install", "nerfstudio>=1.0.0"])
+        except:
+            pass
+        
         run([
             "ns-process-data", "images",
             "--data", str(raw_dir / "images"),
@@ -81,7 +87,7 @@ async def upload(file: UploadFile = File(...)):
     files = [str(p.name) for p in exp_dir.glob("*.ply")]
     return {"job_id": job_id, "status": "done", "files": files}
 
-# Gradio interface for Hugging Face Spaces
+# Simple Gradio interface for Hugging Face Spaces
 def process_dataset(uploaded_file):
     if uploaded_file is None:
         return "Please upload a dataset zip file"
@@ -93,7 +99,7 @@ def process_dataset(uploaded_file):
     except Exception as e:
         return f"Error: {str(e)}"
 
-# Create Gradio interface
+# Create simple Gradio interface
 with gr.Blocks(title="Intercept 2.0 - 3D Gaussian Splatting") as demo:
     gr.Markdown("# 🚀 Intercept 2.0 - 3D Gaussian Splatting")
     gr.Markdown("Upload your dataset zip file to train a 3D Gaussian Splat")
@@ -112,14 +118,12 @@ with gr.Blocks(title="Intercept 2.0 - 3D Gaussian Splatting") as demo:
         outputs=[output]
     )
 
-# Run both FastAPI and Gradio
+# Start FastAPI in background
+def run_fastapi():
+    uvicorn.run(app, host="0.0.0.0", port=8000)
+
+# Start both services
 if __name__ == "__main__":
     import threading
-    
-    # Start FastAPI in background
-    def run_fastapi():
-        uvicorn.run(app, host="0.0.0.0", port=8000)
-    
-    # Start Gradio
     threading.Thread(target=run_fastapi, daemon=True).start()
-    demo.launch(server_port=7860, share=True)
+    demo.launch(server_port=7860, share=True)

quick-deploy.sh

@@ -1,50 +1,33 @@
 #!/bin/bash
 
-# Quick Hugging Face Deployment for Intercept 2.0
-# This script does everything automatically
+# Quick deploy to Hugging Face Spaces
+echo "🚀 Quick Deploy to Hugging Face Spaces"
+echo "======================================"
 
-echo "🚀 Intercept 2.0 - Hugging Face Deployment"
-echo "============================================="
-
-# Check if huggingface_hub is installed
-if ! python -c "import huggingface_hub" 2>/dev/null; then
-    echo "📦 Installing huggingface_hub..."
-    pip install huggingface_hub
-fi
-
-# Check if user is logged in
-if ! huggingface-cli whoami &> /dev/null; then
-    echo "❌ Not logged in to Hugging Face."
-    echo "🔑 Please login first:"
-    echo "   huggingface-cli login"
-    echo ""
-    echo "💡 Get your token from: https://huggingface.co/settings/tokens"
+# Check if we're in the right directory
+if [ ! -f "app.py" ]; then
+    echo "❌ Error: app.py not found. Run this from the huggingface/ directory"
     exit 1
 fi
 
-# Get username
-USERNAME=$(huggingface-cli whoami)
-echo "👤 Logged in as: $USERNAME"
-
-# Create space name
-SPACE_NAME="intercept-2.0"
-echo "📦 Creating space: $SPACE_NAME"
-
-# Create the space
-echo "🚀 Creating Hugging Face Space..."
-huggingface-cli repo create $SPACE_NAME --type space --sdk docker
-
-# Upload files
-echo "📁 Uploading files to space..."
-huggingface-cli upload $SPACE_NAME app.py
-huggingface-cli upload $SPACE_NAME requirements.txt
-huggingface-cli upload $SPACE_NAME Dockerfile
-huggingface-cli upload $SPACE_NAME README.md
+echo "📁 Files to upload:"
+echo "  - app.py"
+echo "  - Dockerfile" 
+echo "  - requirements.txt"
+echo "  - README.md"
+echo ""
 
+echo "🔗 Upload these files to your Hugging Face Space:"
+echo "   https://huggingface.co/spaces/arithescientist/intercept"
 echo ""
-echo "✅ Deployment complete!"
-echo "🌐 Your space: https://huggingface.co/spaces/$USERNAME/$SPACE_NAME"
-echo "📱 API endpoint: https://$USERNAME-$SPACE_NAME.hf.space/upload"
+
+echo "✅ This simplified version should start much faster!"
+echo "   - No nerfstudio at startup (installed on demand)"
+echo "   - Minimal dependencies"
+echo "   - Faster container startup"
 echo ""
-echo "⏱️  The space will take 5-10 minutes to build and start"
-echo "📱 Update your iOS app's server URL to the API endpoint above"
+
+echo "📝 Next steps:"
+echo "1. Upload the files above to your HF Space"
+echo "2. Wait for build to complete"
+echo "3. Test with your iOS app"

requirements.txt

@@ -1,6 +1,4 @@
-nerfstudio>=1.0.0
-uvicorn
 fastapi
-pydantic[dotenv]
+uvicorn
 python-multipart
-gradio
+gradio