adjusting interface inputs

app.py

@@ -165,7 +165,7 @@ def optimize_network(
         input_depth, 'skip',
         pad='reflection',
         skip_n33d=128, skip_n33u=128,
-        skip_n11=4, num_scales=7,  # If you decrease the output size to 256x256 you might want to use num_scales=6
+        skip_n11=4, num_scales=6,  # If you decrease the output size to 256x256 you might want to use num_scales=6
         upsample_mode='bilinear',
         downsample_mode='lanczos2',
     )
@@ -272,8 +272,14 @@ def inference(
     return out, 'video.mp4'
 
 iface = gr.Interface(fn=inference, 
-                     inputs=["number", "number", "number", "number", "number", 
-                                gr.inputs.Checkbox(default=False, label="class_token"),
-                                gr.inputs.Checkbox(default=True, label="maximise"),
-                                "number"], 
-                    outputs=["image","video"]).launch()
+    inputs=[
+        gr.inputs.Number(default=1e-3, label="learning rate"),
+        gr.inputs.Number(default=50, label="number of iterations (more is better)"),
+        gr.inputs.Number(default=32, label="cutn (number of cuts)"),
+        gr.inputs.Number(default=10, label="layer"),
+        gr.inputs.Number(default=1e-3, label="neuron"),
+        gr.inputs.Checkbox(default=False, label="class_token"),
+        gr.inputs.Checkbox(default=True, label="maximise"),
+        gr.inputs.Slider(minimum=0, maximum=30, default=10, label='display rate'),
+        ], 
+    outputs=["image","video"]).launch()