Deploy Polyglot backend with quantized models

deploy_with_env.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python3
+"""Deploy Docker space with .env token loading"""
+import os
+import sys
+from pathlib import Path
+from dotenv import load_dotenv
+
+# Load .env file
+env_file = Path("C:/repos/longonot/local/.env")
+if env_file.exists():
+    load_dotenv(env_file)
+
+# Get token
+hf_token = os.getenv('HF_TOKEN') or os.getenv('HUGGING_FACE_HUB_TOKEN')
+if not hf_token:
+    print("[ERROR] No HuggingFace token found in .env!")
+    sys.exit(1)
+
+# Set environment variable
+os.environ['HUGGING_FACE_HUB_TOKEN'] = hf_token
+
+# Now import and run the deployment
+sys.path.insert(0, str(Path(__file__).parent))
+from deploy_to_hf import deploy_to_huggingface
+
+if __name__ == "__main__":
+    deploy_to_huggingface()

requirements.txt

@@ -34,6 +34,9 @@ numpy==2.1.3
 nltk==3.9.1
 sentencepiece==0.2.0
 
+# CTranslate2 for optimized translation inference
+ctranslate2>=4.6.0
+
 # Computer vision and image processing
 pillow==11.0.0
 qrcode[pil]==8.0