shifted predict code
Browse files
app.py
CHANGED
@@ -23,16 +23,16 @@ def predict(model, input_df):
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#input_dict = {"AGE": age, "GENDER_F": gender, "RACE_Asian": ,"RACE_Black": , "RACE_Coloured":, "RACE_Other":, "RACE_White":, "DIABETES_CLASS_Type 1 diabetes":}
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input_dict = {"AGE": 70.0, "GENDER_F": 0.0, "RACE_Asian": 1.0, "RACE_Black": 0.0, "RACE_Coloured": 0.0, "RACE_Other": 0.0, "RACE_White": 0.0, "DIABETES_CLASS_Type 1 diabetes":0.0}
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input_df = pd.DataFrame([input_dict])
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# the parameters in this function, actually gets the inputs for the prediction
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def predict_amputation(age, gender, race, diabetes_type):
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return "ALLAH"+predict(model=model, input_df=input_df) # calls the predict function when the 'submit' button is clicked
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@@ -40,11 +40,16 @@ title = "DIabetes-related Amputation Risk Calculator (DIARC)"
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description = "A diabetes-related amputation machine learning model trained on the diabetes dataset from the Inkosi Albert Luthuli Central Hospital (IALCH) in Durban, KwaZulu-Natal, South Africa."
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iface = gr.Interface(
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fn=predict_amputation,
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title=title,
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description=description,
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inputs=[gr.inputs.Slider(minimum=0,maximum=100, step=1, label="Age"), gr.inputs.Dropdown(["Female", "Male"], default="Male", 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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#input_dict = {"AGE": age, "GENDER_F": gender, "RACE_Asian": ,"RACE_Black": , "RACE_Coloured":, "RACE_Other":, "RACE_White":, "DIABETES_CLASS_Type 1 diabetes":}
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# the parameters in this function, actually gets the inputs for the prediction
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def predict_amputation(age, gender, race, diabetes_type):
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input_dict = {"AGE": 70.0, "GENDER_F": 0.0, "RACE_Asian": 1.0, "RACE_Black": 0.0, "RACE_Coloured": 0.0, "RACE_Other": 0.0, "RACE_White": 0.0, "DIABETES_CLASS_Type 1 diabetes":0.0}
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input_df = pd.DataFrame([input_dict])
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return "ALLAH"+predict(model=model, input_df=input_df) # calls the predict function when the 'submit' button is clicked
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description = "A diabetes-related amputation machine learning model trained on the diabetes dataset from the Inkosi Albert Luthuli Central Hospital (IALCH) in Durban, KwaZulu-Natal, South Africa."
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article = "<p style='text-align: center'>Copyright (C) 2021. All Rights Reserved.</p>"
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iface = gr.Interface(
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fn=predict_amputation,
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title=title,
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description=description,
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article=article,
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inputs=[gr.inputs.Slider(minimum=0,maximum=100, step=1, label="Age"), gr.inputs.Dropdown(["Female", "Male"], default="Male", 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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