Update app.py

app.py

@@ -8,7 +8,7 @@ from transformers import ViTImageProcessor,pipeline
 model = ViTImageProcessor.from_pretrained('SeyedAli/Food-Image-Classification-VIT')
 
 def FoodClassification(image):
-    with tempfile.NamedTemporaryFile(suffix=".png") as temp_audio_file:
+    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()