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Update app.py
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app.py
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@@ -1,7 +1,25 @@
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import gradio as gr
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def image_classifier(inp):
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return {'cat': 0.3, 'dog': 0.7}
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demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
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demo.launch()
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import gradio as gr
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#def image_classifier(inp):
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# return {'cat': 0.3, 'dog': 0.7}
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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,
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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 predicted instances",
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type="pil")
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)
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demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
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demo.launch()
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