Update app.py

app.py

@@ -11,6 +11,25 @@ model = load_model('acres-ppdc-01.keras')
 class_labels = ['Potato___Early_blight', 'Potato___Late_blight', 'Potato___healthy']
 
 def classify_potato_plant(img):
+    # Convert the image to a NumPy array for manipulation
+    img = np.array(img)
+
+    # Get the current width and height of the image
+    h, w, _ = img.shape
+
+    # Calculate the cropping coordinates to keep the center of the image
+    if h > w:
+        # If height is greater than width, crop the top and bottom
+        start = (h - w) // 2
+        img = img[start:start + w, :, :]  # Crop to width
+    else:
+        # If width is greater than height, crop the left and right
+        start = (w - h) // 2
+        img = img[:, start:start + h, :]  # Crop to height
+
+    # Convert back to PIL image after cropping
+    img = image.array_to_img(img)
+    
     # Preprocess the image for the model
     img = img.resize((128, 128))  # Resize to the same size the model was trained on
     img = image.img_to_array(img)