Add descriprion to the model
Browse files
app.py
CHANGED
@@ -80,6 +80,16 @@ iface = gr.Interface(
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fn=predict_fn,
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inputs="image",
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outputs="text",
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allow_flagging="manual",
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flagging_options=[
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"probability error > 0.5",
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fn=predict_fn,
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inputs="image",
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outputs="text",
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description="""
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The model returns the probability of the image being a base body. If
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probability > 0.95, the image can be automatically tagged as a base body. If
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probability < 0.4, the image can be automatically REJECTED as NOT as base
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body. All other cases will be submitted for moderation.
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To minimize noise, please flag the input only if you think there is an error
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in the probability returned by the model and it is off by at least 0.2
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""",
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allow_flagging="manual",
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flagging_options=[
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"probability error > 0.5",
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