import machine
   import time
   from lcd import LCD
   from ds18x20 import DS18X20
   from onewire import OneWire
   import tensorflow as tf
  
   ow = OneWire(machine.Pin(12))
   ds = DS18X20(ow)

   def read_temperature():
       roms = ds.scan()
       ds.convert_temp()
       time.sleep_ms(750)
       for rom in roms:
           return ds.read_temp(rom)

   def read_ph():
       return 7.0

   def read_turbidity():
       return 100
  
   lcd = LCD(i2c_addr=0x27, i2c_bus=1)

   def display_data(ph, turbidity, temperature):
       lcd.clear()
       lcd.putstr(f'PH: {ph:.2f}\n')
       lcd.putstr(f'Turb: {turbidity:.2f} NTU\n')
       lcd.putstr(f'Temp: {temperature:.2f} C')

   interpreter = tf.lite.Interpreter(model_path="water_quality_predictor.tflite")
   interpreter.allocate_tensors()

   input_details = interpreter.get_input_details()
   output_details = interpreter.get_output_details()

   def predict_water_quality(ph, turbidity, temperature):
       interpreter.set_tensor(input_details[0]['index'], [[ph, turbidity, temperature]])
       interpreter.invoke()
       prediction = interpreter.get_tensor(output_details[0]['index'])
       return prediction[0][0]

   while True:
       temperature = read_temperature()
       ph = read_ph()
       turbidity = read_turbidity()

       if temperature is not None and ph is not None and turbidity is not None:
           quality = predict_water_quality(ph, turbidity, temperature)
           print(f"Water Quality Index: {quality}")
           display_data(ph, turbidity, temperature)
       
       time.sleep(5)
   

   import machine
   import time
   from lcd import LCD
   from ds18x20 import DS18X20
   from onewire import OneWire
   import tensorflow as tf
  
   ow = OneWire(machine.Pin(12))
   ds = DS18X20(ow)

   def read_temperature():
       roms = ds.scan()
       ds.convert_temp()
       time.sleep_ms(750)
       for rom in roms:
           return ds.read_temp(rom)

   def read_ph():
       return 7.0

   def read_turbidity():
       return 100
  
   lcd = LCD(i2c_addr=0x27, i2c_bus=1)

   def display_data(ph, turbidity, temperature):
       lcd.clear()
       lcd.putstr(f'PH: {ph:.2f}\n')
       lcd.putstr(f'Turb: {turbidity:.2f} NTU\n')
       lcd.putstr(f'Temp: {temperature:.2f} C')

   interpreter = tf.lite.Interpreter(model_path="water_quality_predictor.tflite")
   interpreter.allocate_tensors()

   input_details = interpreter.get_input_details()
   output_details = interpreter.get_output_details()

   def predict_water_quality(ph, turbidity, temperature):
       interpreter.set_tensor(input_details[0]['index'], [[ph, turbidity, temperature]])
       interpreter.invoke()
       prediction = interpreter.get_tensor(output_details[0]['index'])
       return prediction[0][0]

   while True:
       temperature = read_temperature()
       ph = read_ph()
       turbidity = read_turbidity()

       if temperature is not None and ph is not None and turbidity is not None:
           quality = predict_water_quality(ph, turbidity, temperature)
           print(f"Water Quality Index: {quality}")
           display_data(ph, turbidity, temperature)
       
       time.sleep(5)