Update app.py

app.py

@@ -10,8 +10,9 @@ model = ViTImageProcessor.from_pretrained('SeyedAli/Food-Image-Classification-VI
 def FoodClassification(image):
     with tempfile.NamedTemporaryFile(suffix=".png") as temp_image_file:
         # Copy the contents of the uploaded image file to the temporary file
-        temp_image_file.write(open(image, "rb").read())
-        temp_image_file.flush()
+        # temp_image_file.write(open(image, "rb").read())
+        # temp_image_file.flush()
+        Image.fromarray(image).save(temp_image_file.name)
         # Load the image file using torchvision
         image = read_image(temp_image_file.name)
         pipline = pipeline(task="image-classification", model=model)