image saved using pil

app.py

@@ -31,13 +31,14 @@ def main():
     if img_file_buffer is not None:
         # Convert the image to a NumPy array
         image = Image.open(img_file_buffer)
+        image.save('fruit_image.jpg')
         # image_np = np.array(image)
         # resized_image = cv2.resize(image_np, (640, 640))
         # resized_image = resized_image.astype(np.uint8)
         # resized_image = cv2.cvtColor(resized_image, cv2.COLOR_BGR2RGB)
         # image = cv2.imread(img_file_buffer)
-        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-        cv2.imwrite('fruit_image.jpg', image)
+        # image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+        # cv2.imwrite('fruit_image.jpg', image)
 
         model = load_learner(MODEL_PATH)
         model_output = model.predict('fruit_image.jpg')