feat: Initial production inference engine setup

Dockerfile

@@ -9,4 +9,4 @@ COPY . .
 # Expose port 7860 (Hugging Face default)
 EXPOSE 7860
 
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

registry/download_model.py

@@ -0,0 +1,58 @@
+"""
+Model Downloader for Hugging Face Spaces / Inference.
+
+Downloads the ONNX model and its required artifacts from the Hugging Face Model Hub.
+Only downloads files that do not already exist locally to minimize startup time.
+
+Usage:
+    python registry/download_model.py
+"""
+
+import os
+from pathlib import Path
+from huggingface_hub import hf_hub_download
+
+# Configuration
+REPO_ID = "YOUR_HF_USERNAME/cropguard-models"  # TODO: Update with actual HF Model repo ID
+VERSION = "v1.0"
+TARGET_DIR = Path(__file__).parent / f"cropguard_{VERSION}"
+
+FILES_TO_DOWNLOAD = [
+    f"cropguard_{VERSION}.onnx",
+    "classifier_weights.npy",
+    "temperature.json",
+    f"cropguard_{VERSION}.json",
+]
+
+
+def download_artifacts():
+    print(f"📥 Checking model artifacts for {VERSION} in {TARGET_DIR}...")
+    TARGET_DIR.mkdir(parents=True, exist_ok=True)
+
+    for filename in FILES_TO_DOWNLOAD:
+        local_path = TARGET_DIR / filename
+        
+        if local_path.exists():
+            print(f"  ✅ {filename} already exists. Skipping download.")
+            continue
+            
+        print(f"  ⬇️  Downloading {filename} from HF Hub...")
+        try:
+            # Download directly into the target directory
+            hf_hub_download(
+                repo_id=REPO_ID,
+                filename=filename,
+                local_dir=str(TARGET_DIR),
+                local_dir_use_symlinks=False, # We want the actual files, not symlinks in HF cache
+            )
+            print(f"  ✅ Successfully downloaded {filename}")
+        except Exception as e:
+            print(f"  ❌ Failed to download {filename}: {e}")
+            print(f"     Please ensure the repository {REPO_ID} exists and is public,")
+            print(f"     or you have set HF_TOKEN if it is a private repository.")
+            
+    print("🎉 Artifact check complete. Ready for inference!")
+
+
+if __name__ == "__main__":
+    download_artifacts()