app.py

import os
os.system("pip install git+https://github.com/facebookresearch/detectron2.git")
os.system("pip install git+https://github.com/Visual-AI/Mr.DETR.git")

import gradio as gr

if __name__ == "__main__":
    gr.close_all()
    
    def inference(img, confidence):
        print(type(img))  
        return img
        # img = np.array(img)
        # _, results = vis_demo.run_on_image(img, confidence)
        return results 
    
    demo = gr.Interface(
        fn=inference,
        inputs=[
            gr.Image(type="pil", image_mode="RGB"),
            gr.Number(precision=2, minimum=0.0, maximum=1.0, value=0.5)
        ],
        outputs="image",
        # examples=[
        #     ["assets/000000014226.jpg"],
        #     ["assets/000000028449.jpg"]
        # ]
    )
    demo.launch(share=True, debug=False)