Update app.py

app.py

@@ -1,6 +1,5 @@
 import pickle
 import pandas as pd
-pip! install shap
 import shap
 from shap.plots._force_matplotlib import draw_additive_plot
 import gradio as gr
@@ -14,11 +13,12 @@ loaded_model = pickle.load(open("heart_xgb.pkl", 'rb'))
 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):
+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}, orient = 'index').transpose()
+              'fbs':fbs, 'restecg':restecg,'thalachh':thalachh,'exng':exng,
+                                     'oldpeak':oldpeak,'slp':slp,'caa':caa,'thall':thall}, 
+                                     orient = 'index').transpose()
     
     prob = loaded_model.predict_proba(new_row)
     
@@ -35,33 +35,35 @@ def main_func(age, sex, cp, trtbps, chol, fbs, restecg, thalachh, exng, oldpeak,
 
 # Create the UI
 title = "**Heart Attack Predictor & Interpreter** 🪐"
-description1 = """ This app takes info from subjects and predicts their heart attack likelihood. Do not use it for medical. 
-"""
+description1 = """This app takes info from subjects and predicts their heart attack likelihood. Do not use for medical diagnosis."""
 
 description2 = """
-To use the app, click on one of the examples, or adjust the values of the six employee satisfaction factors, and click on Analyze. 🤞
+To use the app, click on one of the examples, or adjust the values of the factors, and click on Analyze. 🤞
 """ 
 
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"## {title}")
-#    gr.Markdown("""![marketing](file/marketing.jpg)""")
     gr.Markdown(description1)
     gr.Markdown("""---""")
     gr.Markdown(description2)
     gr.Markdown("""---""")
-    age = gr.Slider(label="age Score", minimum=15, maximum=90, value=4, step=5)
-    sex = gr.Slider(label="sex Score", minimum=0, maximum=1, value=4, step=1)
+    
+    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="GrowthAdvancement Score", minimum=1, maximum=5, value=4, step=1)
-    chol = gr.Slider(label="Workload Score", minimum=1, maximum=5, value=4, step=1)
-    fbs = gr.Slider(label="WorkLifeBalance Score", minimum=1, maximum=5, value=4, step=1)
-    restecg =  gr.Slider(label="WorkLifeBalance Score", minimum=1, maximum=5, value=4, step=1)
-    thalachh =  gr.Slider(label="WorkLifeBalance Score", minimum=1, maximum=5, value=4, step=1)
-    exng =  gr.Slider(label="WorkLifeBalance Score", minimum=1, maximum=5, value=4, step=1)
-    oldpeak =  gr.Slider(label="WorkLifeBalance Score", minimum=1, maximum=5, value=4, step=1)
-    slp =  gr.Slider(label="WorkLifeBalance Score", minimum=1, maximum=5, value=4, step=1)
-    caa =  gr.Slider(label="WorkLifeBalance Score", minimum=1, maximum=5, value=4, step=1)
-    thall = gr.Slider(label="WorkLifeBalance 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)
+
+    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:
@@ -70,11 +72,11 @@ 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_prediction"
+        [age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,slp,caa,thall],
+        [label,local_plot], api_name="Heart_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], [5,4,5,4,4,4,5,5,4,4,5,5,1,2,3]], [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]], [age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,slp,caa,thall], [label,local_plot], main_func, cache_examples=True)
 
 demo.launch()