Update app.py

app.py

@@ -7,6 +7,7 @@ model = joblib.load('model.pkl')
 def preprocess_city(selected_city):
     # Map the selected city to its one-hot encoded representation
     city_mapping = {
+        'Hyderabad' : : [1, 0, 0, 0, 0, 0, 0],
         'Indore': [1, 0, 0, 0, 0, 0, 0],
         'Jaipur': [0, 1, 0, 0, 0, 0, 0],
         'Mahabaleshwar': [0, 0, 1, 0, 0, 0, 0],
@@ -84,7 +85,7 @@ def predict(selected_city, checkin_date, star_rating, text_rating, season, addit
     return "{:.2f}".format(prediction[0])
 
 # Define input components
-city_dropdown = gr.components.Dropdown(choices=['Indore', 'Jaipur', 'Mahabaleshwar', 'Mussoorie', 'Raipur', 'Udaipur', 'Varanasi'], label='Select a City')
+city_dropdown = gr.components.Dropdown(choices=['Hyderabad', 'Indore', 'Jaipur', 'Mahabaleshwar', 'Mussoorie', 'Raipur', 'Udaipur', 'Varanasi'], label='Select a City')
 date_input = gr.components.Textbox(label='Check-in Date (YYYY-MM-DD)')
 star_rating_dropdown = gr.components.Dropdown(choices=[1, 2, 3, 4, 5], label='Select Star Rating')
 text_rating_input = gr.components.Number(label='Enter Numeric Rating (1-5)')