Fixes GradioUnusedKwargWarning: You have unused kwarg parameters

app.py

@@ -169,15 +169,15 @@ inference_app = gr.Interface(
     inputs=[
         # This accepts the image after resizing it to 32x32 which is what our model expects
         gr.Image(shape=(32, 32)),
-        gr.Number(value=3, maximum=10, minimum=1, step=1.0, precision=0, label="#Classes to show"),
+        gr.Number(value=3, maximum=10, minimum=1, precision=0, label="#Classes to show"),
         gr.Checkbox(True, label="Show GradCAM Image"),
         gr.Dropdown(model_layer_names, value="layer3_x", label="Visulalization Layer from Model"),
         # How much should the image be overlayed on the original image
         gr.Slider(0, 1, 0.6, label="Image Overlay Factor"),
         gr.Checkbox(True, label="Show Misclassified Images?"),
-        gr.Slider(value=10, maximum=25, minimum=5, step=5.0, precision=0, label="#Misclassified images to show"),
+        gr.Slider(value=10, maximum=25, minimum=5, step=5.0, label="#Misclassified images to show"),
         gr.Checkbox(True, label="Visulize GradCAM for Misclassified images?"),
-        gr.Slider(value=10, maximum=25, minimum=5, step=5.0, precision=0, label="#GradCAM images to show"),
+        gr.Slider(value=10, maximum=25, minimum=5, step=5.0, label="#GradCAM images to show"),
     ],
     outputs=[
         gr.Label(label="Confidences", container=True, show_label=True),