Upload 6 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+banner.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,34 @@
+import streamlit as st
+import joblib
+import numpy as np
+# from PIL import Image
+
+
+st.image("logo.png",width = 150)
+st.write("# Acko Health Insurance Predictor App")
+
+Age = st.number_input("Enter your Age",min_value = 10,max_value = 90,value = 30,step = 1)
+Height = st.number_input("Enter your Height in Meters",min_value = 0.6,max_value = 2.7,value = 1.67)
+Weight = st.number_input("Enter your Weight in kilogram",min_value = 25,max_value = 200,value = 80)
+Children = st.number_input("Enter No. of Children",min_value = 0,max_value = 10,value = 0,step = 1)
+
+Sex = st.selectbox("Enter your Gender",("Male","Female"))
+
+Smoker = st.selectbox("Do you Smoke?",("Yes","No"))
+if Smoker == "Yes":
+    st.write("\u26A0 Smoking is injurious to health! \u26A0")
+
+BMI = Weight/Height**2
+Smoker_num = 0 if Smoker == "No" else 1
+test_data = [[Age,BMI,Children,Smoker_num]]
+
+# Model Load
+model = joblib.load("insurance_joblib")
+poly = joblib.load("poly_obj")
+
+if st.button("Get Quote"):
+    
+    test_poly = poly.transform(test_data)
+    y_pred_log = model.predict(test_poly)
+    premium = round(np.exp(y_pred_log)[0],2)
+    st.write(f"## **Your Premium Amount is ${premium}**")

requirements.txt

@@ -0,0 +1,3 @@
+streamlit == 1.32.2
+joblib == 1.2.0
+numpy == 1.26.4