Update app.py

app.py

@@ -22,7 +22,7 @@ def model_parameter(model):
 
 def predict(inp):
     inp = transforms.ToTensor()(inp).unsqueeze(0)
-    model_parameter(mdoel)
+    model_parameter(model)
     with torch.no_grad():
         prediction = torch.nn.functional.softmax(model(inp)[0], dim=0)
         confidences = {labels[i]: float(prediction[i]) for i in range(1000)}