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import os |
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import gradio as gr |
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from helper import load_image_from_url, render_results_in_image |
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from PIL import Image |
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from transformers import pipeline |
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def get_pipeline_prediction(pil_image): |
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pipeline_output = od_pipe(pil_image) |
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processed_image = render_results_in_image(pil_image, |
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pipeline_output) |
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return processed_image |
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od_pipe = pipeline("object-detection", model = "facebook/detr-resnet-50") |
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demo = gr.Interface( |
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fn=get_pipeline_prediction, |
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inputs=gr.Image(label="Input image", |
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type="pil"), |
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outputs=gr.Image(label="Output image with predicted instances", |
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type="pil") |
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) |
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demo.launch(share=True) |
