Update app.py

app.py

@@ -2,7 +2,6 @@ import gradio as gr
 import logging
 import torch
 from gpt4all import GPT4All
-import spaces  # Importing spaces
 
 # Configure logging
 logging.basicConfig(level=logging.INFO)
@@ -17,8 +16,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 if device.type == "cpu":
     logging.warning("CUDA is not available. Using CPU for model execution.")
 
-# Adding Zero GPU decorator for compatibility
-@spaces.GPU
+# Load the model
 def load_model():
     try:
         model = GPT4All(model_name_or_path)
@@ -28,7 +26,6 @@ def load_model():
         logging.error(f"Failed to load model: {e}")
         raise e
 
-# Load the model
 model = load_model()
 
 def explain_advantages(electricity_consumption, car_type, vehicle_choice, range_km, daily_mileage, travel_mileage):