Upload app.py

app.py

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+import streamlit as st
+import pandas as pd
+import pickle
+
+# Declaring the teams
+
+
+#st.write("Made_By_Arpon_Mandal")
+st.set_page_config(
+    page_title="BPL Win Predictor",
+    page_icon="🔥",
+    layout="centered",
+    initial_sidebar_state="auto",
+)
+
+st.markdown(
+    """
+    <h2 style='text-align: center'>
+    BPL Win Predictor
+    </h2>
+    <h6 style='text-align: center'>
+    Made_By_Arpon_Mandal
+    </h6>
+    """,
+    unsafe_allow_html=True,
+)
+
+st.markdown(
+    """
+    <p style='text-align: center'>
+    <a href='https://github.com/arponmandal/BPL-win-prediction' target='_blank'>https://github.com/arponmandal/BPL-win-prediction</a>
+    <br />
+    Follow me for more! <a href='https://www.facebook.com/arpon0007' target='_blank'> <img src="https://img.icons8.com/color/48/000000/facebook.png" height="30"></a><a href='https://github.com/arponmandal' target='_blank'><img src="https://img.icons8.com/fluency/48/000000/github.png" height="27"></a><a href='https://www.linkedin.com/in/arponmandal' target='_blank'><img src="https://img.icons8.com/fluency/48/000000/linkedin.png" height="30"></a> 
+    </p>
+    """,
+    unsafe_allow_html=True,
+)
+
+st.write("##")
+
+teams = ['Comilla Victorians',
+         'Fortune Barishal',
+         'Chattogram Challengers',
+         'Khulna Tigers',
+         'Minister Dhaka',
+         'Sylhet Sunrisers',
+         'Rajshahi Royals',
+         'Rangpur Rangers'
+         ]
+
+# declaring the venues
+
+cities = ['Chattogram', 'Khulna', 'Dhaka', 'Sylhet']
+
+
+pipe = pickle.load(open('pipe.pkl', 'rb'))
+#st.title('BPL Win Predictor')
+
+
+col1, col2 = st.columns(2)
+
+with col1:
+    battingteam = st.selectbox('Select the batting team', sorted(teams))
+
+with col2:
+
+    bowlingteam = st.selectbox('Select the bowling team', sorted(teams))
+
+
+city = st.selectbox(
+    'Select the city where the match is being played', sorted(cities))
+
+
+target = st.number_input('Target')
+
+col3, col4, col5 = st.columns(3)
+
+with col3:
+    score = st.number_input('Score')
+
+with col4:
+    overs = st.number_input('Overs Completed')
+
+with col5:
+    wickets = st.number_input('Wickets Fallen')
+
+
+if st.button('Predict Probability'):
+
+    runs_left = target-score
+    balls_left = 120-(overs*6)
+    wickets = 10-wickets
+    currentrunrate = score/overs
+    requiredrunrate = (runs_left*6)/balls_left
+
+    input_df = pd.DataFrame({'batting_team': [battingteam], 'bowling_team': [bowlingteam], 'city': [city], 'runs_left': [runs_left], 'balls_left': [
+                            balls_left], 'wickets': [wickets], 'total_runs_x': [target], 'cur_run_rate': [currentrunrate], 'req_run_rate': [requiredrunrate]})
+
+    result = pipe.predict_proba(input_df)
+    lossprob = result[0][0]
+    winprob = result[0][1]
+
+    st.header(battingteam+"- "+str(round(winprob*100))+"%")
+
+    st.header(bowlingteam+"- "+str(round(lossprob*100))+"%")