Update app.py

app.py

@@ -15,4 +15,10 @@ with torch.no_grad():
 
 # model predicts one of the 1000 ImageNet classes
 predicted_label = logits.argmax(-1).item()
-print(model.config.id2label[predicted_label])
+print(model.config.id2label[predicted_label])
+
+import gradio as gr
+def segment(image):
+    pass  # Implement your image segmentation model here...
+
+gr.Interface(fn=segment, inputs="image", outputs="image").launch()