Update app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+from  PIL import Image
 import torch
 from transformers import ViTFeatureExtractor,pipeline
 
@@ -6,7 +7,7 @@ model = ViTFeatureExtractor.from_pretrained('SeyedAli/Food-Image-Classification-
 
 def FoodClassification(image):
     pipline = pipeline(task="image-classification", model=model)
-    output=pipline(model(image, return_tensors='pt'))
+    output=pipline(model(Image.open(image), return_tensors='pt'))
     return output
 
 iface = gr.Interface(fn=FoodClassification, inputs="image", outputs="text")