change theme and added bold for output
Browse files
app.py
CHANGED
@@ -17,7 +17,7 @@ def predict(model, input_df):
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predictions_df = predict_model(estimator=model, data=input_df)
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predict_label = predictions_df["Label"][0] # either 1 (amputation yes) or 0 (amputation no)
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predict_score = predictions_df["Score"][0] # the prediction (accuracy)
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return "AMPUTATION RISK: " + str(predict_label) + " SCORE: "+str(predict_score)
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@@ -71,7 +71,7 @@ iface = gr.Interface(
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article=article,
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inputs=[gr.inputs.Slider(minimum=0,maximum=100, step=1, default=0, label="Age"), gr.inputs.Dropdown(["Female", "Male"], default="Female", label="Gender"), gr.inputs.Dropdown(["Asian", "Black", "Coloured", "White", "Other"], default="Asian", label="Race"), gr.inputs.Dropdown(["1", "2"], default="1", label="Diabetes Type")],
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outputs="text",
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theme="
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examples=[
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[50, "Male", "Black", 2],
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[76, "Female", "Asian", 2],
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predictions_df = predict_model(estimator=model, data=input_df)
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predict_label = predictions_df["Label"][0] # either 1 (amputation yes) or 0 (amputation no)
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predict_score = predictions_df["Score"][0] # the prediction (accuracy)
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+
return "<b>AMPUTATION RISK: " + str(predict_label) + " SCORE: "+str(predict_score)+"</b>"
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article=article,
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inputs=[gr.inputs.Slider(minimum=0,maximum=100, step=1, default=0, label="Age"), gr.inputs.Dropdown(["Female", "Male"], default="Female", label="Gender"), gr.inputs.Dropdown(["Asian", "Black", "Coloured", "White", "Other"], default="Asian", label="Race"), gr.inputs.Dropdown(["1", "2"], default="1", label="Diabetes Type")],
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outputs="text",
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+
theme="darkhuggingface",
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examples=[
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[50, "Male", "Black", 2],
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[76, "Female", "Asian", 2],
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