Upload INSURANCE_APP.py

INSURANCE_APP.py

@@ -0,0 +1,59 @@
+from pickle import FALSE
+import gradio as gr
+from joblib import load 
+import numpy as np
+import pandas as pd
+from traitlets import default
+
+def predict_expenses(
+    age,sex,bmi,
+    children,smoker,region
+    ):
+
+    # Load the model
+    model=load("INSURANCE\insurancepredict.jb")
+
+    # Create dict array from parameters
+    data={
+        'age':[age],
+        'sex':[sex],
+        'bmi':[bmi],
+        'children':[children],
+        'smoker':[smoker],
+        'region':[region],
+    }
+
+    xinp=pd.DataFrame(data)
+    # print(xinp)
+
+    expenses=model.predict(xinp)
+    return expenses[0]
+
+ui=gr.Interface(
+    fn=predict_expenses,
+    inputs=[
+        gr.inputs.Textbox(placeholder="Age",default=20,numeric=True,label="AGE"),
+        gr.Radio(['male','female'],label="GENDER"),
+        gr.inputs.Textbox(placeholder="BMI",default=25,numeric=True,label="BMI"),
+        gr.inputs.Textbox(placeholder="Childrens",default=2,label="CHILDRENS"),
+        gr.Radio(['yes','no'],label="SMOKER"),
+        gr.Dropdown(['southwest','southeast','northwest','northeast'],label="REGION"),
+
+    ],
+    title="INSURANCE PREDICTOR",
+
+    outputs="text",
+
+    examples=[[19,"female",27.9,0,"yes","southwest",16884.92],
+    [61,"male",36.3,1,"yes","southwest",47403.88]],
+    
+    # theme="darkdefault",
+
+    css= """body {body-color: blue}"""
+
+)
+
+if __name__=="__main__":
+    ui.launch(share=True)
+
+