t

app.py

@@ -179,6 +179,6 @@ 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="Co-Retailing Business")], outputs=[gr.outputs.Image(type="pil", label="Output Image"), gr.outputs.Image(type="pil", label="Output Image2"), gr.outputs.Image(type="pil", label="Output Image3"), gr.outputs.Image(type="pil", label="Output Image4")])
+iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Co-Retailing Business")], outputs=[gr.Image(type="pil", width=64, label="Output Image"), gr.outputs.Image(type="pil", label="Output Image2"), gr.outputs.Image(type="pil", label="Output Image3"), gr.outputs.Image(type="pil", label="Output Image4")])
 #iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Co-Retailing Business")], outputs=[gr.Textbox()])
 iface.launch()