Update app.py

app.py

@@ -12,10 +12,10 @@ model = AutoModelForImageClassification.from_pretrained(model_name)
 # Define function for image preprocessing and prediction
 def process_image(image):
    img_4d=img.reshape(-1,256,256,3)
-  prediction=Model.predict(img_4d)[0]
-  return {class_names[i]: float(prediction[i]) for i in range(3)}
+  prediction=model.predict(img_4d)[0]
+  # return {class_names[i]: float(prediction[i]) for i in range(3)}
 
 image = gr.inputs.Image(shape=(256,256))
-label = gr.outputs.Label(num_top_classes=3)
+label = gr.outputs.Label(num_top_classes=1)
 
 gr.Interface(fn=predict_image, inputs=image, outputs=label,interpretation='default').launch()