temp_path

app.py

@@ -63,7 +63,7 @@ def predict_disease(image):
         img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
         # Convert PIL image to array like load_img method
         #image = image.convert("RGB")  # Ensure 3 channels
-        image = tf.keras.preprocessing.image.load_img(image_path,target_size=(128, 128))
+        image = tf.keras.preprocessing.image.load_img(temp_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