Update app.py

app.py

@@ -5,14 +5,14 @@ import pandas as pd
 from tensorflow.keras.layers import TextVectorization
 
 # Load your data
-new_data = pd.read_csv('data_train.csv')  # Make sure to adjust the path if necessary
+new_data = pd.read_csv('train.csv')  # Make sure to adjust the path if necessary
 
 x = new_data['comment_text']
 y = new_data[new_data.columns[2:]].values
 
-max_features = 100000
+max_features = 160000
 vectorizer = TextVectorization(max_tokens=max_features,
-                               output_sequence_length=1500,
+                               output_sequence_length=1800,
                                output_mode='int')
 vectorizer.get_vocabulary()
 vectorizer.adapt(x.values)