500

app.py

@@ -161,7 +161,8 @@ def sample_ddim(n_sample, n=20):
     intermediate = np.stack(intermediate)
     return samples, intermediate
 
-def greet(steps):
+def greet(input):
+	steps = int(input)
 	samples, intermediate = sample_ddim(32, n=steps)
 	#response = transform2(transform(np.moveaxis(samples.detach().cpu().numpy(),1,3)[-1]))
 	#response2 = transform2(transform(np.moveaxis(samples.detach().cpu().numpy(),1,3)[1]))
@@ -181,6 +182,6 @@ transform2 = transforms.ToPILImage()
 
 #iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Text to find entities", lines=2)], outputs=[gr.HighlightedText(label="Text with entities")], title="NER with dslim/bert-base-NER", description="Find entities using the `dslim/bert-base-NER` model under the hood!", allow_flagging="never", examples=["My name is Andrew and I live in California", "My name is Poli and work at HuggingFace"])
 #iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Co-Retailing Business")], outputs=[gr.outputs.Image(type="pil", width=64, label="Output Image"), gr.outputs.Image(type="pil", width=64, label="Output Image2"), gr.outputs.Image(type="pil", width=64, label="Output Image3"), gr.outputs.Image(type="pil", width=64, label="Output Image4")])
-iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Steps", value=100)], outputs=[gr.Textbox(label="Info"), gr.Image(type="pil", width=64, label="Output Image"), gr.Image(type="pil", width=64, label="Output Image2"), gr.Image(type="pil", width=64, label="Output Image3"), gr.Image(type="pil", width=64, label="Output Image4")])
+iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Steps", value=500)], outputs=[gr.Textbox(label="Info"), gr.Image(type="pil", width=64, label="Output Image"), gr.Image(type="pil", width=64, label="Output Image2"), gr.Image(type="pil", width=64, label="Output Image3"), gr.Image(type="pil", width=64, label="Output Image4")])
 #iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Co-Retailing Business")], outputs=[gr.Textbox()])
 iface.launch()