added slider inputs for parameters

app.py

@@ -32,10 +32,10 @@ def get_image_data():
     return puppy_image, model_and_data
 
 
-def segmentation_generation(image_name):
-    cred_width = 0.1
-    n_top_segs = 5
-    n_gif_images = 20
+def segmentation_generation(image_name, c_width, n_top, n_gif_imgs):
+    cred_width = c_width
+    n_top_segs = n_top
+    n_gif_images = n_gif_imgs
     puppy_image, model_and_data = get_image_data()
 
     # Unpack datax
@@ -82,5 +82,12 @@ if __name__ == "__main__":
     inp = gr.inputs.Image(label="Input Image", type="pil")
     out = gr.outputs.Video(label="Output Image")
 
-    iface = gr.Interface(segmentation_generation, inputs=inp, outputs=out, examples=[["./imagenet_diego.png"]])
+    iface = gr.Interface(
+        segmentation_generation, 
+        [
+            inp,
+            gr.inputs.Slider(minimum=0.001, maximum=0.8, step=0.001, default=0.1, label="cred_width", optional=False),
+            gr.inputs.Slider(minimum=1, maximum=10, step=1, default=5, label="n_top_segs", optional=False),
+            gr.inputs.Slider(minimum=10, maximum=50, step=1, default=20, label="n_gif_images", optional=False), 
+        ], outputs=out, examples=[["./imagenet_diego.png"]])
     iface.launch()