change output
Browse files
app.py
CHANGED
@@ -19,9 +19,13 @@ def predict(model, input_df):
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amputation_risk = ""
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if predict_label == 1:
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amputation_risk = "YES"
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else:
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amputation_risk = "NO"
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-
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# the parameters in this function, actually gets the inputs for the prediction
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@@ -32,6 +36,7 @@ def predict_amputation(age, gender, race, diabetes_type):
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input_df = pd.DataFrame([input_dict])
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return str(predict(model=model, input_df=input_df)) # calls the predict function when 'submit' is clicked
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@@ -60,7 +65,6 @@ iface = gr.Interface(
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[30, "Male", "Coloured", 1],
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[65, "Female", "Other", 2],
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],
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outputs.HighlightedText(color_map={"+": "lightgreen", "-": "pink", })
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)
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amputation_risk = ""
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if predict_label == 1:
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amputation_risk = "YES"
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output = "<div style='background-color:green;'>"+"AMPUTATION RISK: " + amputation_risk + " SCORE: "+str(predict_score)+"</div>"
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else:
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amputation_risk = "NO"
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output = "<div style='background-color:green;'>"+"AMPUTATION RISK: " + amputation_risk + " SCORE: "+str(predict_score)+"</div>"
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return output#"AMPUTATION RISK: " + amputation_risk + " SCORE: "+str(predict_score)
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# the parameters in this function, actually gets the inputs for the prediction
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input_df = pd.DataFrame([input_dict])
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# output
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return str(predict(model=model, input_df=input_df)) # calls the predict function when 'submit' is clicked
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[30, "Male", "Coloured", 1],
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[65, "Female", "Other", 2],
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],
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)
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