Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,45 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+import numpy as np
+import joblib
+
+st.image("banner.jpg")
+col1, col2 = st.columns([1, 3])
+col1.image("logo.png")
+col2.title("Insurance Premium Prediction App")
+
+age  = st.number_input("Enter your age: ",
+                       min_value = 5, max_value=70,
+                       value= 25, step = 1)
+height = st.number_input("Enter your height in cms: ",
+                       min_value = 100.0, max_value=350.0,
+                       value= 167.0, step = 0.5)
+
+weight = st.number_input("Enter your weight in kg: ",
+                       min_value = 20.0, max_value=200.0,
+                       value= 70.0, step = 0.5)
+bmi = weight / (height/100)**2
+st.write(f"Your BMI is {round(bmi,2)}")
+
+children = st.selectbox(
+    "Enter number of children: ",
+    (0,1,2,3,4,5)
+)
+
+smoker = st.selectbox(
+    "Smoking status: ",
+    ("Yes", "No")
+)
+
+smoker_num = 0 if smoker == "No" else 1
+
+test_data = [[age, bmi, children, smoker_num]]
+model = joblib.load("hdfc_ergo_model_joblib.pkl")
+poly = joblib.load("poly_joblib.pkl")
+std_scaler = joblib.load("std_scaler_joblib.pkl")
+
+if st.button("Submit"):
+    poly_test = poly.transform(test_data)
+    std_test = std_scaler.transform(poly_test)
+    y_pred_sqrt = model.predict(std_test)
+    y_pred = round((y_pred_sqrt**2)[0],2)
+    st.write(f"### Your Insurance Premium is ${y_pred}")