Spaces:
Runtime error
Runtime error
File size: 4,174 Bytes
e582c1d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | import streamlit as st
import joblib
import numpy as np
import warnings
warnings.filterwarnings("ignore", message="X does not have valid feature names, but .* was fitted with feature names")
# Load the model
model = joblib.load("forest_model.pkl")
# Define the predict_score function
def predict_score(batting_team, bowling_team, runs, wickets, overs, runs_last_5, wickets_last_5):
prediction_array = []
# Batting Team
if batting_team == 'Chennai Super Kings':
prediction_array = prediction_array + [1,0,0,0,0,0,0,0]
elif batting_team == 'Delhi Daredevils':
prediction_array = prediction_array + [0,1,0,0,0,0,0,0]
elif batting_team == 'Kings XI Punjab':
prediction_array = prediction_array + [0,0,1,0,0,0,0,0]
elif batting_team == 'Kolkata Knight Riders':
prediction_array = prediction_array + [0,0,0,1,0,0,0,0]
elif batting_team == 'Mumbai Indians':
prediction_array = prediction_array + [0,0,0,0,1,0,0,0]
elif batting_team == 'Rajasthan Royals':
prediction_array = prediction_array + [0,0,0,0,0,1,0,0]
elif batting_team == 'Royal Challengers Bangalore':
prediction_array = prediction_array + [0,0,0,0,0,0,1,0]
elif batting_team == 'Sunrisers Hyderabad':
prediction_array = prediction_array + [0,0,0,0,0,0,0,1]
# Bowling Team
if bowling_team == 'Chennai Super Kings':
prediction_array = prediction_array + [1,0,0,0,0,0,0,0]
elif bowling_team == 'Delhi Daredevils':
prediction_array = prediction_array + [0,1,0,0,0,0,0,0]
elif bowling_team == 'Kings XI Punjab':
prediction_array = prediction_array + [0,0,1,0,0,0,0,0]
elif bowling_team == 'Kolkata Knight Riders':
prediction_array = prediction_array + [0,0,0,1,0,0,0,0]
elif bowling_team == 'Mumbai Indians':
prediction_array = prediction_array + [0,0,0,0,1,0,0,0]
elif bowling_team == 'Rajasthan Royals':
prediction_array = prediction_array + [0,0,0,0,0,1,0,0]
elif bowling_team == 'Royal Challengers Bangalore':
prediction_array = prediction_array + [0,0,0,0,0,0,1,0]
elif bowling_team == 'Sunrisers Hyderabad':
prediction_array = prediction_array + [0,0,0,0,0,0,0,1]
prediction_array = prediction_array + [runs, wickets, overs, runs_last_5, wickets_last_5]
prediction_array = np.array([prediction_array])
pred = model.predict(prediction_array)
return int(round(pred[0]))
# Create the Streamlit app
def app():
st.title("IPL Score Predictor")
# Get user input
batting_team = st.selectbox("Select the batting team", ['Chennai Super Kings', 'Delhi Daredevils', 'Kings XI Punjab', 'Kolkata Knight Riders', 'Mumbai Indians', 'Rajasthan Royals', 'Royal Challengers Bangalore', 'Sunrisers Hyderabad'])
bowling_team = st.selectbox("Select the bowling team", ['Chennai Super Kings', 'Delhi Daredevils', 'Kings XI Punjab', 'Kolkata Knight Riders', 'Mumbai Indians', 'Rajasthan Royals', 'Royal Challengers Bangalore', 'Sunrisers Hyderabad'])
runs = st.number_input("Enter the runs scored", value=0)
wickets = st.number_input("Enter the wickets lost", value=0)
overs = st.number_input("Enter the number of overs played", value=0.0)
runs_last_5 = st.number_input("Enter the runs scored in the last 5 overs", value=0)
wickets_last_5 = st.number_input("Enter the wickets lost in the last 5 overs", value=0)
# Predict the score
if st.button("Predict"):
score = predict_score(batting_team, bowling_team, runs, wickets, overs, runs_last_5, wickets_last_5)
st.write(f"Predicted score for {batting_team} against {bowling_team}: {score}")
# Run the app
if __name__ == "__main__":
app()
# App creator information
# Add app creator information
st.markdown("<p style='text-align: center; font-size: 18px; margin-top: 50px;'>Created by</p>", unsafe_allow_html=True)
st.markdown("<h3 style='text-align: center; font-size: 30px;'>Manish Choudhary</h3>", unsafe_allow_html=True)
st.markdown("<p style='text-align: center; font-size: 18px;'>Follow me on <a href='https://www.instagram.com/expert.py' target='_blank'>Instagram</a></p>", unsafe_allow_html=True)
|