text: import requests, json, csv, ast
  import tensorflow as tf
  from tensorflow import keras
  
  from sklearn.model_selection import train_test_split
  
  model = tf.keras.models.Sequential()
  
  model.add(tf.keras.layers.Dense(512, input_shape=(24,), activation="relu"))
  #model.add(tf.keras.layers.Dropout(0.3))
  
  model.add(tf.keras.layers.Dense(950, input_shape=(512,), activation="sigmoid"))
  model.add(tf.keras.layers.Dropout(0.5))
  
  #model.add(tf.keras.layers.Dense(900, activation="sigmoid"))
  #model.add(tf.keras.layers.Dropout(0.5))
  
  #model.add(tf.keras.layers.Dense(1000, activation="sigmoid"))
  #model.add(tf.keras.layers.Dropout(0.5))
  
  model.add(tf.keras.layers.Dense(1, activation="sigmoid"))
  
  
  model.compile(
      optimizer="adam",
      loss="binary_crossentropy",
      metrics=["accuracy"]
  )
  
  model.load_weights("WeatherWear/Weatherwear1a") #5g is the base for this final ver
  model.save_weights("WeatherWear/Weatherwear1b")