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Update app.py
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app.py
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from transformers import pipeline
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from helper import load_image_from_url, render_results_in_image
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od_pipe = pipeline("object-detection", "facebook/detr-resnet-50")
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import gradio as gr
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def get_pipeline_prediction(pil_image):
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#first get the pipeline output given the pil image
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pipeline_output = od_pipe(pil_image)
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#then process the image using the pipeline output
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processed_image = render_results_in_image(pil_image, pipeline_output)
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return processed_image
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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 predictions",
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type="pil"),
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title="Object Detection API",
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description="Just upload your image and let ObjectDetect API work its magic, revealing the objects waiting to be discovered"
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)
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demo.launch()
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