cv

app.py

@@ -55,9 +55,15 @@ def predict_disease(image):
     Predict plant disease from uploaded image using same preprocessing as your working cv2 method
     """
     try:
+        temp_path = "temp_leaf.jpg"
+        image.save(temp_path)
+
+        img = cv2.imread(temp_path)
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
         # Convert PIL image to array like load_img method
-        image = image.convert("RGB")  # Ensure 3 channels
-        image = image.resize((128, 128))  # Resize
+        #image = image.convert("RGB")  # Ensure 3 channels
+        image = tf.keras.preprocessing.image.load_img(image_path,target_size=(128, 128))
+        #image = image.resize((128, 128))  # Resize
         input_arr = tf.keras.preprocessing.image.img_to_array(image)
         input_arr = np.array([input_arr])  # Convert single image to batch