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| import os | |
| import gradio as gr | |
| import warnings | |
| os.system("python setup.py build develop --user") | |
| os.system("pip install packaging==21.3") | |
| os.system("pip install git+https://github.com/openai/CLIP.git") | |
| warnings.filterwarnings("ignore") | |
| from detector import detect | |
| if __name__ == "__main__": | |
| detect_app = gr.Blocks() | |
| with detect_app: | |
| gr.Markdown("# Food Detection Demo") | |
| gr.Markdown("Please upload an food picture to see the detection results.") | |
| gr.Markdown("Note the model runs on CPU for demo, so it may take a while to run the model.") | |
| with gr.Row(): | |
| with gr.Column(): | |
| input_image = gr.Image(source='upload', type="numpy", label="Please upload a food picture.") | |
| run_button = gr.Button(value="Detect", variant="primary") | |
| with gr.Column(): | |
| gallery = gr.Gallery(label="Detection Results").style( | |
| grid=(1, 1), preview=False, object_fit="none") | |
| run_button.click(fn=detect, inputs=[ | |
| input_image], outputs=[gallery]) | |
| detect_app.launch(share=False, show_api=False, show_error=True) |