Delete utils.py

utils.py

@@ -1,74 +0,0 @@
-import tensorflow as tf
-import numpy as np
-from PIL import Image
-import json
-import os
-
-def load_model_and_classes(model_path='dish_classifier_final.keras', 
-                          classes_path='class_names.json'):
-    """Load the trained model and class names"""
-    
-    # Load model
-    if not os.path.exists(model_path):
-        raise FileNotFoundError(f"Model file not found: {model_path}")
-    
-    try:
-        model = tf.keras.models.load_model(model_path)
-    except Exception as e:
-        raise Exception(f"Error loading model: {e}")
-    
-    # Load class names
-    if not os.path.exists(classes_path):
-        raise FileNotFoundError(f"Class names file not found: {classes_path}")
-    
-    try:
-        with open(classes_path, 'r') as f:
-            class_names = json.load(f)
-    except Exception as e:
-        raise Exception(f"Error loading class names: {e}")
-    
-    return model, class_names
-
-def preprocess_image(image):
-    """Preprocess image for EfficientNetV2S model"""
-    # Convert to RGB if needed
-    if image.mode != 'RGB':
-        image = image.convert('RGB')
-    
-    # Resize to 224x224
-    image = image.resize((224, 224))
-    
-    # Convert to array and normalize
-    img_array = np.array(image) / 255.0
-    
-    # Add batch dimension
-    img_array = np.expand_dims(img_array, axis=0)
-    
-    return img_array
-
-def predict_image(model, image, class_names, top_k=5):
-    """Predict top K classes for an image"""
-    
-    # Preprocess
-    processed_image = preprocess_image(image)
-    
-    # Make prediction
-    predictions = model.predict(processed_image, verbose=0)[0]
-    
-    # Get top K predictions
-    top_k_idx = np.argsort(predictions)[-top_k:][::-1]
-    top_k_labels = [class_names[idx] for idx in top_k_idx]
-    top_k_confidences = [predictions[idx] * 100 for idx in top_k_idx]
-    
-    return top_k_labels, top_k_confidences
-
-def get_pakistan_food_info(dish_name):
-    """Get information about a Pakistani dish (optional feature)"""
-    # Add more dishes as needed
-    pakistan_food_info = {
-        "biryani": "A mixed rice dish with meat, spices, and saffron. Popular throughout Pakistan.",
-        "nihari": "A slow-cooked stew with bone-in meat, originating from Old Delhi but loved in Pakistan.",
-        # Add more dish info here
-    }
-    
-    return pakistan_food_info.get(dish_name.lower(), "A delicious Pakistani dish!")