Update app.py

app.py

@@ -28,7 +28,7 @@ def inference(input_img, num_inference_steps, guidance_scale, seed ):
     #result = pipeline(cond, num_inference_steps=75).images[0]
     result = pipeline(cond, num_inference_steps=num_inference_steps, 
                   guidance_scale=guidance_scale, 
-                  generator=torch.Generator(pipeline.device).manual_seed(seed)).images[0]
+                  generator=torch.Generator(pipeline.device).manual_seed(int(seed))).images[0]
 
     # for general real and synthetic images of general objects
     # usually it is enough to have around 28 inference steps
@@ -49,7 +49,7 @@ import gradio as gr
 with gr.Blocks() as demo:
     gr.Markdown("<h1><center> Zero123++ Demo</center></h1>")
     with gr.Column():
-      input_img = gr.Image(label='Input Image', tyoe='filepath')
+      input_img = gr.Image(label='Input Image', type='filepath')
     with gr.Column():
       output_img = gr.Image(label='Zero123++ Output')
     with gr.Accordion("Advanced options:", open=False):
@@ -73,7 +73,7 @@ with gr.Blocks() as demo:
              ],
     inputs=[input_img, num_inference_steps, guidance_scale, seed],
     outputs=output_img,
-    fn=dummy,
+    fn=inference,
     cache_examples=True,
       )