Update HuggingFace endpoint URL after clean rebuild

- Created new Logiroad/sam3 model repository on HuggingFace
- Pushed complete codebase with LFS model files (6.8GB)
- Deployed new inference endpoint with proper configuration
- Updated all documentation with new endpoint URL
- Verified endpoint health and inference functionality

New endpoint: https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud
Old endpoint: https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud

Generated with [Claude Code](https://claude.com/claude-code)
via [Happy](https://happy.engineering)

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>

README.md

@@ -10,7 +10,7 @@ This repository supports deployment to **both HuggingFace and Azure AI Foundry**
 
 #### HuggingFace (Current)
 
-**URL**: `https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud`
+**URL**: `https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud`
 **Status**: ✅ Running
 **Model**: `facebook/sam3` (Sam3Model for static images)
 **Hardware**: NVIDIA A10G GPU (24GB VRAM)
@@ -35,7 +35,7 @@ with open("image.jpg", "rb") as f:
 
 # Request segmentation masks
 response = requests.post(
-    "https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud",
+    "https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud",
     json={
         "inputs": image_b64,
         "parameters": {
@@ -336,7 +336,7 @@ with open("road.jpg", "rb") as f:
 
 # Segment road defects
 response = requests.post(
-    "https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud",
+    "https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud",
     json={
         "inputs": image_b64,
         "parameters": {
@@ -375,4 +375,4 @@ For issues with:
 
 **Last Updated**: 2025-11-22
 **Status**: ✅ Production Ready
-**Endpoint**: https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud
+**Endpoint**: https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud

assets/examples/usage_example.py

@@ -12,7 +12,7 @@ import io
 import os
 
 # Configuration
-ENDPOINT_URL = "https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud"
+ENDPOINT_URL = "https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud"
 
 def segment_image(image_path, classes):
     """

deployments/huggingface/README.md

@@ -36,4 +36,4 @@ python3 scripts/test/test_api.py
 
 ## Endpoint URL
 
-https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud
+https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud

deployments/huggingface/deploy.sh

@@ -64,7 +64,7 @@ echo "════════════════════════
 echo "✅ HuggingFace Deployment Complete"
 echo "════════════════════════════════════════════════════════════"
 echo ""
-echo "Endpoint: https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud"
+echo "Endpoint: https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud"
 echo ""
 echo "Test with:"
 echo "  python3 scripts/test/test_api.py"

docs/DEPLOYMENT.md

@@ -6,7 +6,7 @@ This repository supports deployment to both **HuggingFace Inference Endpoints**
 
 | Platform | Status | Container Registry | Endpoint |
 |----------|--------|-------------------|----------|
-| **HuggingFace** | ✅ Running | `sam3acr4hf.azurecr.io` | https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud |
+| **HuggingFace** | ✅ Running | `sam3acr4hf.azurecr.io` | https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud |
 | **Azure AI Foundry** | ⏳ Pending GPU Quota | `sam3acr.azurecr.io` | To be deployed |
 
 Both deployments use the **same Docker image** with SAM3Model for static image segmentation.
@@ -275,7 +275,7 @@ def test_endpoint(name, url, api_key=None):
 # Test HuggingFace
 test_endpoint(
     "HuggingFace",
-    "https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud"
+    "https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud"
 )
 
 # Test Azure AI Foundry (when deployed)

scripts/deploy_all.sh

@@ -132,7 +132,7 @@ if [ "$DEPLOY_HF" = true ]; then
     echo -e "${GREEN}✅ HuggingFace:${NC}"
     echo "   Registry: ${HF_REGISTRY}"
     echo "   Image: ${HF_IMAGE}"
-    echo "   Endpoint: https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud"
+    echo "   Endpoint: https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud"
     echo ""
     echo "   Restart endpoint with:"
     echo "   python3 -c 'from huggingface_hub import HfApi; api = HfApi(); e = api.get_inference_endpoint(\"sam3-segmentation\", namespace=\"Logiroad\"); e.pause(); e.resume()'"

scripts/test/test_api.py

@@ -7,7 +7,7 @@ import requests
 import base64
 import sys
 
-ENDPOINT_URL = "https://yzsj8fy005ix8sje.us-east-1.aws.endpoints.huggingface.cloud"
+ENDPOINT_URL = "https://p6irm2x7y9mwp4l4.us-east-1.aws.endpoints.huggingface.cloud"
 
 def test_health():
     """Test health endpoint"""