Delete pro.py

pro.py

@@ -1,26 +0,0 @@
-import streamlit as st
-import pickle as pk
-from sklearn.tree import DecisionTreeRegressor
-import numpy as np
-import pandas as pd
-
-model = pk.load(open(r"abc.pickle", "rb"))
-
-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")
-
-
-k = st.button("Predict")
-
-
-if k:
-    x = pd.DataFrame([[Birth_Rate,Fertility_Rate,Infant_mortality,Maternal_mortality_ratio,Physicians_per_thousand]])
-    x.columns = ["Birth Rate","Fertility Rate","Infant mortality","Maternal mortality ratio","Physicians per thousand"]
-    prediction = model.predict(x)
-    st.markdown(prediction)
-