Update app.py

app.py

@@ -7,8 +7,7 @@ from werkzeug.utils import secure_filename
 # Suppress TensorFlow warnings
 os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
 
-import tensorflow as tf
-# Use standalone Keras (compatible with old models)
+# Use Keras 2.2.5 (compatible with Keras 2.0 models)
 from keras.models import load_model
 
 app = Flask(__name__)
@@ -18,17 +17,19 @@ app.config['UPLOAD_FOLDER'] = 'uploads'
 # Create uploads folder if it doesn't exist
 os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
 
-# Load the model with old Keras 2.4.3
-print("Loading model...")
+# Load the model with Keras 2.2.5 (supports batch_shape)
+print("Loading model with Keras 2.2.5...")
 import warnings
 warnings.filterwarnings('ignore')
 
 try:
-    # Use standalone Keras which supports old batch_shape parameter
+    # Keras 2.2.5 natively supports batch_shape parameter
     model = load_model('cancer_model.h5', compile=False)
-    print("✓ Model loaded successfully with Keras 2.4.3!")
+    print("✓ Model loaded successfully with Keras 2.2.5!")
 except Exception as e:
     print(f"❌ Error loading model: {e}")
+    import traceback
+    traceback.print_exc()
     raise
 
 def resize_with_padding(img, target_size):