add grad false part

app.py

@@ -43,6 +43,8 @@ model.fc = nn.Sequential(
 urllib.request.urlretrieve(MODEL_URL, MODEL_PATH)
 model.load_state_dict(torch.load(MODEL_PATH))
 model.eval()
+for _, p in model.named_parameters():
+    p.requires_grad = False
 
 inputs = gr.inputs.Image()
 outputs = gr.outputs.Label(num_top_classes=1)