code: def __init__(self, path_to_zip):
      from zipfile import ZipFile
  
      import pandas as pd
      import numpy as np
  
      # create paths
      self.path_to_zip = path_to_zip
      self.extract_to = path_to_zip.replace(".zip", "")
      self.package_name = self.extract_to.split("/")[-1]
      self.file_prefix = self.extract_to + "/" + self.package_name
  
      # extract the zip
      # unpack_archive(self.path_to_zip, self.extract_to)
      z = ZipFile(self.path_to_zip, mode="r")
      z.extractall(self.extract_to)
  
      # add params dictionary
      self.params = np.load(
          self.file_prefix + "_params.npy", allow_pickle=True
      ).item()
  
      # add experiment details
      self.details = pd.read_csv(
          self.file_prefix + "_details.txt", header=None
      )
  
      # add x data sample
      self.x = pd.read_csv(self.file_prefix + "_x.csv", header=None)
  
      # add y data sample
      self.y = pd.read_csv(self.file_prefix + "_y.csv", header=None)
  
      # add model
      from talos.utils.load_model import load_model
  
      self.model = load_model(self.file_prefix + "_model")
  
      # add results
      self.results = pd.read_csv(self.file_prefix + "_results.csv")
      self.results.drop("Unnamed: 0", axis=1, inplace=True)
  
      # clean up
      del self.extract_to, self.file_prefix
      del self.package_name, self.path_to_zip
  
label_desc: Use image node_id 1 to create a new Restore object  with example: obj = Restore(path_to_zip)