Update app.py

app.py

@@ -55,12 +55,7 @@ def fashion_MNIST_prediction(test_image, model='KNN'):
     else:
         return "Invalid Model Selection"
        
-# Add example images and labels
-examples = [
-    ['Tshirt.png', 'T-shirt/top'],
-    ['Trouser.png', 'Trouser'],
-    ['Pullover.png', 'Pullover'],
-    ['Dress.png', 'Dress'],]
+
     
 input_image = gr.inputs.Image(shape=(28, 28), image_mode='L')
 input_model = gr.inputs.Dropdown(['KNN', 'DecisionTreeClassifier', 'RandomForestClassifier', 'AdaBoostClassifier', 'GradientBoostingClassifier'])
@@ -69,6 +64,6 @@ output_label = gr.outputs.Textbox(label="Predicted Label")
 output_probability = gr.outputs.Label(num_top_classes=10, label="Predicted Probability Per Class")
 
 gr.Interface(fn=fashion_MNIST_prediction, 
-             inputs=[input_image, input_model,examples], 
+             inputs=[input_image, input_model], 
              outputs=[output_label, output_probability],
              title="Fashion MNIST classification").launch(debug=True)