Update app.py

app.py

@@ -1,3 +1,4 @@
+# Importing Libraries
 import os 
 os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
 
@@ -20,8 +21,10 @@ model = load_model("sentiment_analysis_best.keras")
 with open("tokenizer.pkl", "rb") as f:
     tokenizer = pickle.load(f)
 
+# Maximum sequence length used for padding and truncation
 MAX_LEN = 100
 
+# Stopwords list with negation preserved
 negations = {"not", "no", "nor", "never", "n't"}
 stop_words = set(stopwords.words("english")) - negations