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app.py

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+
+import gradio as gr
+from carbgremover.external_model import remove_background_external, plot_image
+
+
+def process(image):
+    res = remove_background_external(image_path='car1.jpg', device="cpu")
+    return res
+
+gr.Markdown("## Car Segmentation")
+gr.HTML('''
+  <p style="margin-bottom: 10px; font-size: 94%">
+    This is a demo for Car Segmentation that using
+    <a href="https://pypi.org/project/CarSegmentPro/" target="_blank">. 
+  </p>
+''')
+title = "Background Removal"
+description = r"""The CarSegmentPro package is developed to facilitate the removal of both internal and external backgrounds from car images. Read more at model card <a href='https://pypi.org/project/CarSegmentPro/' target='_blank'></a>.<br>
+"""
+examples = [['./input.jpg'],]
+# output = ImageSlider(position=0.5,label='Image without background', type="pil", show_download_button=True)
+# demo = gr.Interface(fn=process,inputs="image", outputs=output, examples=examples, title=title, description=description)
+demo = gr.Interface(fn=process,inputs="image", outputs="image", examples=examples, title=title, description=description)
+
+if __name__ == "__main__":
+    demo.launch(share=False)

requirements.txt

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+gradio
+gradio_imageslider
+CarSegmentPro==0.0.1