app.py

import streamlit as st

st.title("titanic prediction apps")

pclass=st.radio("pclass",[1,2,3])
sex=st.pills("gender",["male","female"])
age=st.slider("age", min_value=1, max_value=120)
sibsp=st.selectbox("sibsp",[0, 1, 2, 4, 3, 5, 8])
parch=st.selectbox("parch",[0, 1, 2, 5, 4, 3, 6])
fare=st.slider("fare", min_value=0, max_value=1000)
embarked=st.selectbox("embarked",["S","C","Q"])

inputss=pd.DataFrame(np.array([[pclass, sex, age, sibsp, parch, fare, embarked]]),columns=['pclass', 'sex', 'age', 'sibsp', 'parch', 'fare', 'embarked'])