Create app.py

app.py

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+#importing the libraries
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+df = pd.read_csv('insurance.csv')
+#changing categorical variables to numerical
+df['sex'] = df['sex'].map({'male':0,'female':1})
+df['smoker'] = df['smoker'].map({'yes':1,'no':0})
+df['region'] = df['region'].map({'southwest':0,'southeast':1,'northwest':2,'northeast':3})
+
+#Train Test Split
+from sklearn.model_selection import train_test_split
+x_train, x_test, y_train, y_test = train_test_split(df.drop('charges',axis=1), df['charges'], test_size=0.2, random_state=42)
+
+#decision tree regressor
+from sklearn.tree import DecisionTreeRegressor
+dtree = DecisionTreeRegressor()
+#model training
+dtree.fit(x_train,y_train)
+#model accuracy
+# dtree.score(x_train,y_train)
+
+def func(a, b, c, d, e, f):
+    
+    
+    x_test = [[a, b, c, d, e, f]]
+    result = dtree.predict(x_test)[0]
+    rounded_result = round(result, 2)
+    str="Your Medical Expenses could be: ₹"
+    str1="Thankyou🤗 for using our Model"
+    return f"{str}{rounded_result}\n\n{str1}"
+
+import gradio as gr
+
+demo = gr.Interface(
+    fn= func,
+    inputs=[
+        gr.Textbox(label="Enter Your Age", placeholder="Enter Your Age", elem_id="gender",type='text'),
+        gr.Textbox(label="Enter Your Gender", placeholder="Enter 0 for Male and 1 for Female", elem_id="gender",type='text'),
+        gr.Textbox(label="Enter Your BMI Index", placeholder="Enter BMI Index Value", elem_id="gender",type='text'),
+        gr.Textbox(label="Number of Children Covered by Health Insurance", placeholder="Enter Number of Children", elem_id="gender",type='text'),
+        gr.Textbox(label="Are You a Smoker?", placeholder="Enter 0 for NO and 1 for YES",elem_id="gender",type='text'),
+        gr.Textbox(label="Enter Your Region", placeholder="Enter value between 0-3", elem_id="gender",type='text'),   
+    ],
+    outputs='text',
+    theme=gr.themes.Soft(),
+    title="<h1 id=title-first> Welcome to HEALTHSURE <br> <span id=title-second>Predict Your Medical Cost Expenses here using a ML Model</span> </h1>",
+    description="<p id=desc>◾ Please Enter the Data in following way(Important)<br>◾ Gender: <span id=desc-info> Male=0 Female=1 </span><br> ◾ Smoker:<span id=desc-info> NO=0 YES=1 </span><br>◾ Region:<span id=desc-info> Southwest=0 Southeast=1 Northwest=2 Northeast=3 </span> <br><br>**Some Examples are given at bottom You can try them by clicking on it.<br>**Enter only Numeric Value",
+    css="""
+    .gradio-container {background-color: #eefdec}"
+         #gender { background-color : teal !important; }
+        #gender textarea {background-color: #ecf7fd; font-size : 15px; color : black;
+         font-weight : bold; !important;}
+        
+        #desc {font-weight : bold; color : black !important;}
+        #desc-info{font-weight:normal;}
+        h1 {text-align : center; font-size: 40px !important;}
+        #title-first {color:black;  !important;}
+        #title-second {color:green; font-size: 17px !important;}
+        #a-tag { color : white !important;}
+        
+        #a-tag:hover {text-decoration : none !important;}
+    
+    """,
+   
+    examples=[[54,	0,	33.63,	1,	0,	2],[18,	1,	40.26,	0,	0,	1],[54,	1,	23,	3,	0,	0],[45,	0,	20.35,	3,	0,	1]]
+    
+)
+
+
+demo.launch(inline=False)