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#!/usr/bin/env python3 """ Download and verify the sentence-transformer model """ import sys from pathlib import Path def download_model(): """Download the model if not already present""" try: print("🤖 Checking AI model...") from sentence_transformers import SentenceTransformer model_name = 'all-MiniLM-L6-v2' print(f" 📥 Loading model: {model_name}") print(" (This will download ~90MB on first run)") # This will download if not cached model = SentenceTransformer(model_name) # Test the model test_embedding = model.encode("test", show_progress_bar=False) print(f" ✅ Model ready! Embedding dimension: {len(test_embedding)}") return True except ImportError: print(" ❌ sentence-transformers not installed") print(" Run: pip install sentence-transformers") return False except Exception as e: print(f" ❌ Failed to load model: {e}") return False if __name__ == "__main__": success = download_model() sys.exit(0 if success else 1)