Deploying to HF

app.py

@@ -125,10 +125,10 @@ def predict(img, shap_samples, shap_stdevs, occlusion_stride, occlusion_window):
 ui = gr.Interface(fn=predict, 
                 inputs=[
                     gr.Image(type="pil"),
-                    gr.Slider(minimum=10, maximum=100, default=50, label="SHAP Samples"),
-                    gr.Slider(minimum=0.0001, maximum=0.01, default=0.0001, label="SHAP Stdevs"),
-                    gr.Slider(minimum=4, maximum=80, default=8, label="Occlusion Stride"),
-                    gr.Slider(minimum=4, maximum=80, default=15, label="Occlusion Window")  
+                    gr.Slider(minimum=10, maximum=100, default=50, label="SHAP Samples", step=1),
+                    gr.Slider(minimum=0.0001, maximum=0.01, default=0.0001, label="SHAP Stdevs", step=0.0001),
+                    gr.Slider(minimum=4, maximum=80, default=8, label="Occlusion Stride", step=1),
+                    gr.Slider(minimum=4, maximum=80, default=15, label="Occlusion Window", step=1)
                 ],
                 outputs=[gr.Label(num_top_classes=3), gr.Image(type="pil"), gr.Image(type="pil"), gr.Image(type="pil")],
                 examples=["benign (52).png", "benign (243).png", "malignant (127).png", "malignant (201).png", "normal (81).png", "normal (101).png"]).launch()