Remove test script for HuggingFace conversion

test_hf_conversion.py

@@ -1,130 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script to verify HuggingFace conversion works
-"""
-
-import sys
-import os
-
-def test_imports():
-    """Test if all required imports work"""
-    try:
-        print("Testing imports...")
-        
-        # Test basic imports
-        from PIL import Image
-        import io
-        print("✅ PIL and io imports successful")
-        
-        # Test transformers import
-        try:
-            from transformers import pipeline
-            print("✅ transformers import successful")
-        except ImportError as e:
-            print(f"❌ transformers import failed: {e}")
-            return False
-            
-        # Test torch import
-        try:
-            import torch
-            print(f"✅ torch import successful (version: {torch.__version__})")
-            print(f"   CUDA available: {torch.cuda.is_available()}")
-        except ImportError as e:
-            print(f"❌ torch import failed: {e}")
-            return False
-            
-        return True
-        
-    except Exception as e:
-        print(f"❌ Import test failed: {e}")
-        return False
-
-def test_pipeline_creation():
-    """Test if we can create the HuggingFace pipeline"""
-    try:
-        print("\nTesting pipeline creation...")
-        
-        from transformers import pipeline
-        
-        # Try to create image captioning pipeline
-        print("Creating image-to-text pipeline...")
-        image_to_text = pipeline(
-            "image-to-text",
-            model="Salesforce/blip-image-captioning-base",
-            device=-1  # Force CPU to avoid GPU issues
-        )
-        print("✅ Image-to-text pipeline created successfully")
-        
-        return True
-        
-    except Exception as e:
-        print(f"❌ Pipeline creation failed: {e}")
-        return False
-
-def test_basic_functionality():
-    """Test basic functionality with a simple image"""
-    try:
-        print("\nTesting basic functionality...")
-        
-        from transformers import pipeline
-        from PIL import Image
-        import io
-        
-        # Create a simple test image
-        test_image = Image.new('RGB', (100, 100), color='red')
-        
-        # Create pipeline
-        image_to_text = pipeline(
-            "image-to-text",
-            model="Salesforce/blip-image-captioning-base",
-            device=-1
-        )
-        
-        # Test image captioning
-        result = image_to_text(test_image)
-        print(f"✅ Image captioning successful: {result}")
-        
-        return True
-        
-    except Exception as e:
-        print(f"❌ Basic functionality test failed: {e}")
-        return False
-
-def main():
-    """Run all tests"""
-    print("🧪 Testing HuggingFace Fashion Analyzer Conversion")
-    print("=" * 50)
-    
-    tests = [
-        ("Import Test", test_imports),
-        ("Pipeline Creation Test", test_pipeline_creation),
-        ("Basic Functionality Test", test_basic_functionality)
-    ]
-    
-    passed = 0
-    total = len(tests)
-    
-    for test_name, test_func in tests:
-        print(f"\n🔍 Running {test_name}...")
-        try:
-            if test_func():
-                print(f"✅ {test_name} PASSED")
-                passed += 1
-            else:
-                print(f"❌ {test_name} FAILED")
-        except Exception as e:
-            print(f"❌ {test_name} FAILED with exception: {e}")
-    
-    print("\n" + "=" * 50)
-    print(f"📊 Test Results: {passed}/{total} tests passed")
-    
-    if passed == total:
-        print("🎉 All tests passed! HuggingFace conversion is ready.")
-        return True
-    else:
-        print("⚠️  Some tests failed. Check the errors above.")
-        return False
-
-if __name__ == "__main__":
-    success = main()
-    sys.exit(0 if success else 1)