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import streamlit as st
import pickle
model = pickle.load(open("model.pkl", "rb"))
teams=[
'Australia',
'India',
'Bangladesh',
'New Zealand',
'South Africa',
'England',
'Afghanistan',
'Pakistan',
'Sri Lanka',
'Netherlands']
st.title('World Cup Score Predictor')
col1, col2 = st.columns(2)
with col1:
batting_team = st.selectbox('Select batting team', sorted(teams))
with col2:
bowling_team = st.selectbox('Select bowling team', sorted(teams))
col3,col4,col5 = st.columns(3)
with col3:
current_score = st.number_input('Current Score')
with col4:
overs = st.number_input('Overs done(works for over>5)')
with col5:
wickets = st.number_input('Wickets out')
last_five_runs = st.number_input('Runs scored in last 5 overs')
if st.button('Predict Score'):
balls_left = 300 - (overs*6)
wickets_left = 10 -wickets
crr = current_score/overs
if batting_team == 'Australia':
batting_team = 1
if batting_team == 'India':
batting_team = 4
if batting_team == 'Bangladesh':
batting_team = 2
if batting_team == 'New Zealand':
batting_team = 6
if batting_team == 'South Africa':
batting_team = 8
if batting_team == 'England':
batting_team = 3
if batting_team == 'Afghanistan':
batting_team = 0
if batting_team == 'Pakistan':
batting_team = 7
if batting_team == 'Sri Lanka':
batting_team = 9
if batting_team == 'Netherlands':
batting_team = 5
if bowling_team == 'Australia':
bowling_team = 1
if bowling_team == 'India':
bowling_team = 4
if bowling_team == 'Bangladesh':
bowling_team = 2
if bowling_team == 'New Zealand':
bowling_team = 6
if bowling_team == 'South Africa':
bowling_team = 8
if bowling_team == 'England':
bowling_team = 3
if bowling_team == 'Afghanistan':
bowling_team = 0
if bowling_team == 'Pakistan':
bowling_team = 7
if bowling_team == 'Sri Lanka':
bowling_team = 9
if bowling_team == 'Netherlands':
bowling_team = 5
features = [[batting_team, bowling_team, overs, current_score, balls_left, wickets, crr,
last_five_runs]]
# Make a prediction
prediction = model.predict(features)
# Display the prediction result
st.write(f"Predicted Total Score: {int(prediction[0])}")
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