wszhang1021 commited on
Commit
c7a8697
·
1 Parent(s): ee17659

Update app.py

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Files changed (1) hide show
  1. app.py +12 -10
app.py CHANGED
@@ -12,19 +12,21 @@ loaded_model = pickle.load(open("heart_xgb.pkl", 'rb'))
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  # Setup SHAP
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  explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
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- gender = {"Female":0,"Male":1}
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- chest = {"Typical angina":1,"Atypical angina":2,"Non-anginal pain":3,"Asymptomatic":4}
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  choice = {"True":1, "False":0}
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- rest = {"Probable or Definite Left Ventricular Hypertrophy by Estes' Criteria":2, "Having ST - T Wave Abnormality":1,"Normal Value":0}
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  ex = {"Yes":1, "No":0}
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- sl = {"Upsloping":2, "Flat":1,"Downsloping":0}
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- th = {"Reversible Defect":3, "Normal Blood Flow":2, "Fixed Defect":1}
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  # Create the main function for server
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- def main_func(age, sex, cp, trtbps, chol, fbs, restecg, thalachh, exng, oldpeak, slp, caa, thall):
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- new_row = pd.DataFrame.from_dict({'age':age,'sex':gender[sex],
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- 'cp':chest[cp],'trtbps':trtbps,'chol':chol, 'fbs':choice[fbs], 'restecg':rest[restecg],
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- 'thalachh':thalachh, 'exng':ex[exng], 'oldpeak':oldpeak, 'slp':sl[slp], 'caa':caa, 'thall':th[thall]}, orient = 'index').transpose()
 
 
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  prob = loaded_model.predict_proba(new_row)
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@@ -76,7 +78,7 @@ with gr.Blocks(title=title) as demo:
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  with gr.Column():
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  age = gr.Slider(label="Age", minimum=0, maximum=100, value=40, step=1)
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  sex = gr.Radio(label="Sex", choices =["Female","Male"])
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- cp = gr.Radio(label="Chest Pain Type", choices = ["Typical angina", "Atypical angina", "Non-anginal pain", "Asymptomatic"])
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  trtbps = gr.Slider(label="Resting Blood Pressure (in mm Hg)", minimum=90, maximum=200, value=90, step=1)
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  chol = gr.Slider(label="Cholestoral in mg/dl", minimum=120, maximum=570, value=120, step=1)
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  fbs = gr.Radio(label="Fasting Blood Sugar", choices = ["True", "False"])
 
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  # Setup SHAP
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  explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
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+ gender = {"Female":1,"Male":0}
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+ chest = {"Typical angina":0,"Atypical angina":1,"Non-anginal pain":2,"Asymptomatic":3}
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  choice = {"True":1, "False":0}
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+ rest = {"Probable or Definite Left Ventricular Hypertrophy by Estes' Criteria":0, "Having ST - T Wave Abnormality":1,"Normal Value":2}
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  ex = {"Yes":1, "No":0}
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+ sl = {"Upsloping":0, "Flat":1,"Downsloping":2}
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+ th = {"Reversible Defect":0, "Normal Blood Flow":1, "Fixed Defect":2}
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  # Create the main function for server
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+ def main_func(age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,slp,caa,thall):
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+ new_row = pd.DataFrame.from_dict({'age':age,'sex':sex,
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+ 'cp':cp,'trtbps':trtbps,'chol':chol,
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+ 'fbs':fbs, 'restecg':restecg,'thalachh':thalachh,'exng':exng,
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+ 'oldpeak':oldpeak,'slp':slp,'caa':caa,'thall':thall},
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+ orient = 'index').transpose()
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  prob = loaded_model.predict_proba(new_row)
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  with gr.Column():
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  age = gr.Slider(label="Age", minimum=0, maximum=100, value=40, step=1)
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  sex = gr.Radio(label="Sex", choices =["Female","Male"])
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+ cp = gr.Select(label="Chest Pain Type", choices = ["Typical angina", "Atypical angina", "Non-anginal pain", "Asymptomatic"])
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  trtbps = gr.Slider(label="Resting Blood Pressure (in mm Hg)", minimum=90, maximum=200, value=90, step=1)
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  chol = gr.Slider(label="Cholestoral in mg/dl", minimum=120, maximum=570, value=120, step=1)
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  fbs = gr.Radio(label="Fasting Blood Sugar", choices = ["True", "False"])