mohiteyashprogrammer / T20_score_prediction

Strimlit Web App

Untitled.video.-.Made.with.Clipchamp.mp4

Code

import os import sys import pandas as pd import numpy as np import streamlit as st import pickle from src.pipline.predict_pipline import PredictPipline

teams = [ "Afghanistan", "Australia", "Bangladesh", "England", "India", "Ireland", "Namibia", "Netherlands", "New Zealand", "Oman", "Pakistan", "Papua New Guinea", "Scotland", "South Africa", "Sri Lanka", "United Arab Emirates", "West Indies", "Zimbabwe", ]

st.title("T20 1st Inning Score Predictor")

col1,col2 = st.columns(2)

with col1: batting_team = st.selectbox('Select the batting team',sorted(teams))

with col2: bowling_team = st.selectbox('Select the 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_overs = st.number_input("Runs Scored In Last 5 Overs")

if st.button("Predict Score"): balls_left = 120 - (overs*6) wickets_left = 10 - wickets current_run_rate = current_score/overs

input_data = pd.DataFrame(
{"batting_team":[batting_team],"bowling_team":[bowling_team],"current_score":[current_score],"balls_left":[balls_left],"wickets_left":[wickets],"current_run_rate":[current_run_rate],"last_five_overs":[last_five_overs]})

predict_pipline = PredictPipline()

result = predict_pipline.prediction(input_data)

st.header("Predicted Score - " + str(int(result[0])))