Update app.py

app.py

@@ -1,6 +1,5 @@
 import streamlit as st
 import pickle as pk
-import sklearn
 from sklearn.linear_model import LinearRegression
 import numpy as np
 import pandas as pd
@@ -11,9 +10,9 @@ st.title("Life Expectancy Predictor")
 
 Birth_Rate = st.text_input("Birth Rate")
 Fertility_Rate = st.text_input("Fertility Rate")
-Infant_mortality = st.text_input("Infant mortality")
-Maternal_mortality_ratio = st.text_input("Maternal mortality ratio")
-Physicians_per_thousand = st.text_input("Physicians per thousand")
+Infant_mortality = st.text_input("Infant mortality per 1000 births")
+Maternal_mortality_ratio = st.text_input("Maternal mortality ratio per 1000 births")
+Physicians_per_thousand = st.text_input("Physicians per 1000")
 
 
 k = st.button("Predict")
@@ -24,4 +23,3 @@ if k:
     x.columns = ["Birth Rate","Fertility Rate","Infant mortality","Maternal mortality ratio","Physicians per thousand"]
     prediction = model.predict(x)
     st.markdown(np.round(prediction[0],2))
-