Update app.py

app.py

@@ -31,6 +31,8 @@ def predict(team, inning, venue, hits, errors, lob, runs, opp_team, opp_runs, op
     home_away_status = {'Home': 0, 'Away': 1}
     df['Home/Away'] = df['Home/Away'].map(home_away_status)
 
+    df = df.astype(int)
+
     df = pca.transform(df)
 
     score = xgb_model.predict(df)
@@ -63,6 +65,8 @@ def predict_2(team, inning, venue, hits, errors, lob, runs, opp_team, opp_runs,
     home_away_status = {'Home': 0, 'Away': 1}
     df['Home/Away'] = df['Home/Away'].map(home_away_status)
 
+    df = df.astype(int)
+
     with open('pca_model1.pkl', 'rb') as f:
         pca = pickle.load(f)