Update app.py

app.py

@@ -3,6 +3,7 @@ import spaces
 import torch
 import PIL.Image
 import gradio as gr
+import gradio.components as grc
 import numpy as np
 
 pipeline = DiffusionPipeline.from_pretrained("1aurent/ddpm-mnist")
@@ -18,8 +19,8 @@ def predict(steps, seed):
 gr.Interface(
     predict,
     inputs=[
-        gr.inputs.Slider(1, 100, label='Inference Steps', default=12, step=1),
-        gr.inputs.Slider(0, 2147483647, label='Seed', default=69420, step=1),
+        grc.Slider(1, 100, label='Inference Steps', default=12, step=1),
+        grc.Slider(0, 2147483647, label='Seed', default=69420, step=1),
     ],
     outputs=gr.Image(shape=[28,28], type="pil", elem_id="output_image"),
     css="#output_image{width: 256px}",