i

app.py

@@ -164,7 +164,8 @@ def sample_ddim(n_sample, n=20):
 def greet(input):
 	samples, intermediate = sample_ddim(32, n=1)
 	response = transform2(transform(np.moveaxis(samples.detach().cpu().numpy(),1,3)[-1]))
-	return response
+    response2 = transform2(transform(np.moveaxis(samples.detach().cpu().numpy(),1,3)[1]))
+	return response, response2
 
 transform2 = transforms.ToPILImage()
 
@@ -172,6 +173,6 @@ transform2 = transforms.ToPILImage()
 #iface.launch()
 
 #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", label="Output Image"))
+iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Co-Retailing Business")], outputs=[gr.outputs.Image(type="pil", label="Output Image"), gr.outputs.Image(type="pil", label="Output Image2"))]
 #iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Co-Retailing Business")], outputs=[gr.Textbox()])
 iface.launch()