Update app.py

app.py

@@ -8,9 +8,9 @@ import pandas as pd
 # Load Model
 model = tf.keras.models.load_model("news_classification_rnn.h5")
 
-# Load Preprocessing Function
-with open("preprocessing1.pkl", "rb") as f:
-    clean_text = pickle.load(f)
+# # Load Preprocessing Function
+# with open("preprocessing1.pkl", "rb") as f:
+#     clean_text = pickle.load(f)
 
 # Load TF-IDF Vectorizer
 with open("text_vectorizer.pkl", "rb") as f:
@@ -27,8 +27,8 @@ user_input = st.text_area("Enter News Text:", "")
 
 if st.button("Classify"):
     if user_input:
-        # Preprocess Input
-        processed_text = clean_text(user_input)
+        # # Preprocess Input
+        # processed_text = clean_text(user_input)
 
         # Convert text to integer sequence
         text_sequence = tokenizer.texts_to_sequences([processed_text])