Update app.py

app.py

@@ -37,27 +37,25 @@ with st.form("prediction_form"):
     submitted = st.form_submit_button("Predict")
 
     if submitted:
-    # Assuming the rest of the code remains the same for collecting inputs
-    
-    # Create the DataFrame without considering the index as a feature
-    input_df = pd.DataFrame([[
-        gp, min, pts, fgm, fga, fg_percent, threep_made, threepa, threep_percent,
-        ftm, fta, ft_percent, oreb, dreb, reb, ast, stl, blk, tov
-    ]], columns=[
-        'GP', 'MIN', 'PTS', 'FGM', 'FGA', 'FG%', '3P Made', '3PA', '3P%', 
-        'FTM', 'FTA', 'FT%', 'OREB', 'DREB', 'REB', 'AST', 'STL', 'BLK', 'TOV'
-    ])
-
-    # Ensure there's no unexpected index that could be interpreted as a feature
-    input_df.reset_index(drop=True, inplace=True)
-
-    # Attempt prediction
-    try:
-        prediction = model.predict(input_df)[0]
-        
-        if prediction == 1:
-            st.success('The rookie is likely to have a successful career spanning at least 5 years!')
-        else:
-            st.error('The rookie might not have a very successful career lasting at least 5 years.')
-    except ValueError as e:
-        st.error(f'Error making prediction: {e}')
+        # Create the DataFrame without considering the index as a feature
+        input_df = pd.DataFrame([[
+            gp, min, pts, fgm, fga, fg_percent, threep_made, threepa, threep_percent,
+            ftm, fta, ft_percent, oreb, dreb, reb, ast, stl, blk, tov
+        ]], columns=[
+            'GP', 'MIN', 'PTS', 'FGM', 'FGA', 'FG%', '3P Made', '3PA', '3P%', 
+            'FTM', 'FTA', 'FT%', 'OREB', 'DREB', 'REB', 'AST', 'STL', 'BLK', 'TOV'
+        ])
+
+        # Ensure there's no unexpected index that could be interpreted as a feature
+        input_df.reset_index(drop=True, inplace=True)
+
+        # Attempt prediction
+        try:
+            prediction = model.predict(input_df)[0]
+            
+            if prediction == 1:
+                st.success('The rookie is likely to have a successful career spanning at least 5 years!')
+            else:
+                st.error('The rookie might not have a very successful career lasting at least 5 years.')
+        except ValueError as e:
+            st.error(f'Error making prediction: {e}')