| import streamlit as st | |
| import pickle | |
| import pandas as pd | |
| import numpy as np | |
| pipe = pickle.load(open('pipe.pkl','rb')) | |
| teams=[ | |
| 'Sunrisers Hyderabad', | |
| 'Mumbai Indians', | |
| 'Royal Challengers Bangalore', | |
| 'Kolkata Knight Riders', | |
| 'Rajasthan Royals', | |
| 'Chennai Super Kings', | |
| 'Kings XI Punjab', | |
| ] | |
| e_cities=['Mumbai', | |
| 'Mohali', | |
| 'Kolkata', | |
| 'Delhi', | |
| 'Bangalore', | |
| 'Chennai', | |
| 'Chandigarh', | |
| 'Jaipur', | |
| 'Hyderabad', | |
| 'Abu Dhabi', | |
| 'Durban', | |
| 'Pune', | |
| 'Ahmedabad', | |
| 'Centurion', | |
| 'Dharamsala', | |
| 'Port Elizabeth', | |
| 'Visakhapatnam', | |
| 'Ranchi', | |
| 'Indore'] | |
| st.title('IPL 2023 Score Prediction') | |
| 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)) | |
| city=st.selectbox('Select city',sorted(e_cities)) | |
| col3,col4,col5=st.columns(3) | |
| with col3: | |
| current_score= st.number_input('Current Score') | |
| with col4: | |
| overs_completed=st.number_input('Overs completed(over>5)') | |
| with col5: | |
| wickets=st.slider('Wickets_out',0,10) | |
| last_five_over=st.number_input('Runs Scoed in last 5 Overs') | |
| if st.button('Predict Score'): | |
| balls_left=120-(overs_completed*6) | |
| wickets_left=10- wickets | |
| crr=current_score/overs_completed | |
| input_data_f=pd.DataFrame( | |
| {'batting_team':[batting_team],'bowling_team': [bowling_team],'city': city, 'current_score' : [current_score], | |
| 'balls_left': [balls_left],'wickets_left': [wickets],'crr': [crr], 'last_five_over': [last_five_over] | |
| } | |
| ) | |
| result=pipe.predict(input_data_f) | |
| st.text("Predicted Score "+ str(int(result[0]))) | |