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#!/bin/bash
# Deploy SAM3 to HuggingFace Inference Endpoints
set -e
echo "🚀 Deploying SAM3 to HuggingFace..."
echo ""
# Configuration
REGISTRY="sam3acr4hf.azurecr.io"
IMAGE="sam3-hf:latest"
ENDPOINT_NAME="sam3-segmentation"
NAMESPACE="Logiroad"
# Navigate to project root
cd "$(dirname "$0")/../.."
# Step 1: Build Docker image
echo "[1/4] Building Docker image..."
docker build -t ${REGISTRY}/${IMAGE} -f docker/Dockerfile .
echo "✓ Build complete"
echo ""
# Step 2: Login to ACR
echo "[2/4] Logging in to Azure Container Registry..."
az acr login --name sam3acr4hf
echo "✓ Login successful"
echo ""
# Step 3: Push image
echo "[3/4] Pushing image to registry..."
docker push ${REGISTRY}/${IMAGE}
echo "✓ Push complete"
echo ""
# Step 4: Restart endpoint
echo "[4/4] Restarting HuggingFace endpoint..."
python3 << 'EOF'
from huggingface_hub import HfApi
import time
api = HfApi()
endpoint = api.get_inference_endpoint('sam3-segmentation', namespace='Logiroad')
print(" Pausing endpoint...")
endpoint.pause()
time.sleep(5)
print(" Resuming endpoint...")
endpoint.resume()
print(" Waiting for endpoint to be running...")
for i in range(60):
endpoint = api.get_inference_endpoint('sam3-segmentation', namespace='Logiroad')
if endpoint.status == 'running':
print(f" ✓ Endpoint running after {i*5}s")
break
time.sleep(5)
else:
print(" ⚠ Timeout waiting for endpoint")
EOF
echo ""
echo "════════════════════════════════════════════════════════════"
echo "✅ HuggingFace Deployment Complete"
echo "════════════════════════════════════════════════════════════"
echo ""
echo "Endpoint: https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud"
echo ""
echo "Test with:"
echo " python3 scripts/test/test_api.py"
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