Update app.py

app.py

@@ -1,57 +1,57 @@
-import streamlit as st
-import pickle
-import pandas as pd
-
-teams = ['Sunrisers Hyderabad',
- 'Mumbai Indians',
- 'Royal Challengers Bangalore',
- 'Kolkata Knight Riders',
- 'Kings XI Punjab',
- 'Chennai Super Kings',
- 'Rajasthan Royals',
- 'Delhi Capitals']
-
-cities = ['Hyderabad', 'Bangalore', 'Mumbai', 'Indore', 'Kolkata', 'Delhi',
-       'Chandigarh', 'Jaipur', 'Chennai', 'Cape Town', 'Port Elizabeth',
-       'Durban', 'Centurion', 'East London', 'Johannesburg', 'Kimberley',
-       'Bloemfontein', 'Ahmedabad', 'Cuttack', 'Nagpur', 'Dharamsala',
-       'Visakhapatnam', 'Pune', 'Raipur', 'Ranchi', 'Abu Dhabi',
-       'Sharjah', 'Mohali', 'Bengaluru']
-
-pipe = pickle.load(open('pipe.pkl','rb'))
-st.title('IPL Win Predictor')
-
-col1, col2 = st.beta_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))
-
-selected_city = st.selectbox('Select host city',sorted(cities))
-
-target = st.number_input('Target')
-
-col3,col4,col5 = st.beta_columns(3)
-
-with col3:
-    score = st.number_input('Score')
-with col4:
-    overs = st.number_input('Overs completed')
-with col5:
-    wickets = st.number_input('Wickets out')
-
-if st.button('Predict Probability'):
-    runs_left = target - score
-    balls_left = 120 - (overs*6)
-    wickets = 10 - wickets
-    crr = score/overs
-    rrr = (runs_left*6)/balls_left
-
-    input_df = pd.DataFrame({'batting_team':[batting_team],'bowling_team':[bowling_team],'city':[selected_city],'runs_left':[runs_left],'balls_left':[balls_left],'wickets':[wickets],'total_runs_x':[target],'crr':[crr],'rrr':[rrr]})
-
-    result = pipe.predict_proba(input_df)
-    loss = result[0][0]
-    win = result[0][1]
-    st.header(batting_team + "- " + str(round(win*100)) + "%")
+import streamlit as st
+import pickle
+import pandas as pd
+
+teams = ['Sunrisers Hyderabad',
+ 'Mumbai Indians',
+ 'Royal Challengers Bangalore',
+ 'Kolkata Knight Riders',
+ 'Kings XI Punjab',
+ 'Chennai Super Kings',
+ 'Rajasthan Royals',
+ 'Delhi Capitals']
+
+cities = ['Hyderabad', 'Bangalore', 'Mumbai', 'Indore', 'Kolkata', 'Delhi',
+       'Chandigarh', 'Jaipur', 'Chennai', 'Cape Town', 'Port Elizabeth',
+       'Durban', 'Centurion', 'East London', 'Johannesburg', 'Kimberley',
+       'Bloemfontein', 'Ahmedabad', 'Cuttack', 'Nagpur', 'Dharamsala',
+       'Visakhapatnam', 'Pune', 'Raipur', 'Ranchi', 'Abu Dhabi',
+       'Sharjah', 'Mohali', 'Bengaluru']
+
+pipe = pickle.load(open('pipe.pkl','rb'))
+st.title('IPL Win 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))
+
+selected_city = st.selectbox('Select host city',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 out')
+
+if st.button('Predict Probability'):
+    runs_left = target - score
+    balls_left = 120 - (overs*6)
+    wickets = 10 - wickets
+    crr = score/overs
+    rrr = (runs_left*6)/balls_left
+
+    input_df = pd.DataFrame({'batting_team':[batting_team],'bowling_team':[bowling_team],'city':[selected_city],'runs_left':[runs_left],'balls_left':[balls_left],'wickets':[wickets],'total_runs_x':[target],'crr':[crr],'rrr':[rrr]})
+
+    result = pipe.predict_proba(input_df)
+    loss = result[0][0]
+    win = result[0][1]
+    st.header(batting_team + "- " + str(round(win*100)) + "%")
     st.header(bowling_team + "- " + str(round(loss*100)) + "%")