interpreter.set_tensor(input_details[0]['index'], [[co2, tvoc, temperature, humidity, pressure]])
       interpreter.invoke()
       prediction = interpreter.get_tensor(output_details[0]['index'])
       return prediction[0][0]
 
   while True:
       co2, tvoc, temperature, humidity, pressure = read_sensor_data()
       if co2 is not None:
           aqi = predict_aqi(co2, tvoc, temperature, humidity, pressure)
           print(f"AQI: {aqi}")
           display_data(aqi)
       time.sleep(5)
   

       interpreter.set_tensor(input_details[0]['index'], [[co2, tvoc, temperature, humidity, pressure]])
       interpreter.invoke()
       prediction = interpreter.get_tensor(output_details[0]['index'])
       return prediction[0][0]
 
   while True:
       co2, tvoc, temperature, humidity, pressure = read_sensor_data()
       if co2 is not None:
           aqi = predict_aqi(co2, tvoc, temperature, humidity, pressure)
           print(f"AQI: {aqi}")
           display_data(aqi)
       time.sleep(5)