Update app.py

app.py

@@ -8,6 +8,7 @@ from tensorflow.keras.preprocessing.sequence import pad_sequences
 from nltk.corpus import stopwords
 from sklearn.preprocessing import StandardScaler
 import nltk
+import time
 
 # Download required NLTK data (for stopwords only)
 nltk.download('stopwords')
@@ -77,7 +78,7 @@ def predict_menu_inclusion(food_name, review_text, cook_time, prep_time, total_t
     predicted_rating = model.predict([padded_review, numerical_features]).flatten()[0]
     
     # Decide whether to include the item on the menu
-    include_on_menu = predicted_rating > 4  # Threshold for inclusion
+    include_on_menu = predicted_rating > 3.5  # Threshold for inclusion
     
     return {
         "FoodName": food_name,
@@ -164,4 +165,3 @@ if st.sidebar.button("🔮 Predict"):
         unsafe_allow_html=True,
     )
 
-