Update app.py

app.py

@@ -7,17 +7,17 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 # load the model from disk
-loaded_model = pickle.load(open("heart_xgb.pkl", 'rb'))
+loaded_model = pickle.load(open("Disease_DAndRFTrees.pkl", 'rb'))
 
 # Setup SHAP
 explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
 
 # Create the main function for server
-def main_func(age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,slp,caa,thall):
-    new_row = pd.DataFrame.from_dict({'age':age,'sex':sex,
-              'cp':cp,'trtbps':trtbps,'chol':chol,
-              'fbs':fbs, 'restecg':restecg,'thalachh':thalachh,'exng':exng,
-                                     'oldpeak':oldpeak,'slp':slp,'caa':caa,'thall':thall}, 
+def main_func(HighBP, HighChol, BMI, Smoker, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, GenHlth, PhysHlth, Sex, Age):
+    new_row = pd.DataFrame.from_dict({'BP':highBP,'Chol':HighChol,
+              'BMI':BMI,'Smoker':Smoker,'PhysActivity':PhysActivity,
+              'Fruits':Fruits, 'Veggies':Veggies,'HvyAlcoholConsump': HvyAlcoholConsump,'GenHlth':GenHlth,
+                                     'PhysHlth':PhysHlth,'Sex':Sex,'Age':Age}, 
                                      orient = 'index').transpose()
     
     prob = loaded_model.predict_proba(new_row)
@@ -34,8 +34,8 @@ def main_func(age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,sl
     return {"Low Chance": float(prob[0][0]), "High Chance": 1-float(prob[0][0])}, local_plot
 
 # Create the UI
-title = "**Heart Attack Predictor & Interpreter** 🪐"
-description1 = """This app takes info from subjects and predicts their heart attack likelihood. Do not use for medical diagnosis."""
+title = "**Diabetes Predictor & Interpreter** 🪐"
+description1 = """This app takes info from subjects and predicts their diabetes likelihood. Do not use for medical diagnosis."""
 
 description2 = """
 To use the app, click on one of the examples, or adjust the values of the factors, and click on Analyze. 🤞
@@ -48,22 +48,19 @@ with gr.Blocks(title=title) as demo:
     gr.Markdown(description2)
     gr.Markdown("""---""")
     
-    age = gr.Number(label="age Score", value=40)
-    sex = gr.Slider(label="sex Score", minimum=0, maximum=1, value=1, step=1)
-    cp = gr.Slider(label="cp Score", minimum=1, maximum=5, value=4, step=1)
-    trtbps = gr.Slider(label="trtbps Score", minimum=1, maximum=5, value=4, step=1) 
-    chol = gr.Slider(label="chol Score", minimum=1, maximum=5, value=4, step=1)
-    fbs = gr.Slider(label="fbs Score", minimum=1, maximum=5, value=4, step=1)
+    Age = gr.Number(label="age Score", value=40)
+    BMI = gr.Number(label="BMI Score", value=98)
+    Sex = gr.Slider(label="sex Score", minimum=0, maximum=1, value=1, step=1)
+    Smoker = gr.Slider(label="Smoker Score", minimum=0, maximum=1, value=1, step=1)
+    PhysActivity = gr.Slider(label="Physical Activity Score", minimum=0, maximum=1, value=1, step=1)
+    Fruits = gr.Slider(label="Fruits Score", minimum=0, maximum=1, value=1, step=1)
+    Veggies = gr.Slider(label="Veggies Score", minimum=0, maximum=1, value=1, step=1)
+    HvyAlcoholConsump = gr.Slider(label="Alcohol Consumption Score", minimum=0, maximum=1, value=1, step=1)
+    HighBP = gr.Slider(label="BP Score", minimum=1, maximum=1, value=1, step=1)
+    HighChol = gr.Slider(label="Cholesterol Score", minimum=1, maximum=1, value=1, step=1)
+    GenHlth = gr.Slider(label="GenHlth Score", minimum=1, maximum=5, value=4, step=1)
+    PhysHealth = gr.Number(label="PhysHealth Score", value=40)
 
-    restecg = gr.Slider(label="restecg Score", minimum=1, maximum=5, value=4, step=1)
-    thalachh = gr.Slider(label="thalachh Score", minimum=1, maximum=5, value=4, step=1)
-   
-    exng = gr.Slider(label="exng Score", minimum=1, maximum=5, value=4, step=1)
-    oldpeak = gr.Slider(label="oldpeak Score", minimum=1, maximum=5, value=4, step=1)
-    slp = gr.Slider(label="slp Score", minimum=1, maximum=5, value=4, step=1)
-    caa = gr.Slider(label="caa Score", minimum=1, maximum=5, value=4, step=1)
-    thall = gr.Slider(label="thall Score", minimum=1, maximum=5, value=4, step=1)
-    
     submit_btn = gr.Button("Analyze")
 
     with gr.Column(visible=True) as output_col:
@@ -72,11 +69,11 @@ with gr.Blocks(title=title) as demo:
 
     submit_btn.click(
         main_func,
-        [age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,slp,caa,thall],
-        [label,local_plot], api_name="Heart_Predictor"
+        [HighBP, HighChol, BMI, Smoker, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, GenHlth, PhysHlth, Sex, Age],
+        [label,local_plot], api_name="Diabetes_Predictor"
     )
     
     gr.Markdown("### Click on any of the examples below to see how it works:")
-    gr.Examples([[24,0,4,4,5,5,4,4,5,5,1,2,3], [24,0,4,4,5,3,3,2,1,1,1,2,3]], [age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,slp,caa,thall], [label,local_plot], main_func, cache_examples=True)
+    gr.Examples([[24,0,4,4,5,5,4,4,5,5,1,2,3], [24,0,4,4,5,3,3,2,1,1,1,2,3]], [HighBP, HighChol, BMI, Smoker, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, GenHlth, PhysHlth, Sex, Age], [label,local_plot], main_func, cache_examples=True)
 
 demo.launch()