code: def test_string_input(self):
      def model_creator(config):
          import tensorflow as tf
  
          vectorize_layer = tf.keras.layers.experimental.preprocessing.TextVectorization(
              max_tokens=10, output_mode="int", output_sequence_length=4
          )
          model = tf.keras.models.Sequential()
          model.add(tf.keras.Input(shape=(1,), dtype=tf.string))
          model.add(vectorize_layer)
          return model
  
      from zoo.orca import OrcaContext
      from pyspark.sql.types import StructType, StructField, StringType
  
      spark = OrcaContext.get_spark_session()
      schema = StructType([StructField("input", StringType(), True)])
      input_data = [["foo qux bar"], ["qux baz"]]
      input_df = spark.createDataFrame(input_data, schema)
      estimator = Estimator.from_keras(model_creator=model_creator)
      output_df = estimator.predict(
          input_df, batch_size=1, feature_cols=["input"]
      )
      output = output_df.collect()
      print(output)
  
imports: import shutil
  from unittest import TestCase
  import numpy
  import pytest
  import tensorflow
  from zoo import init_nncontext
  from zoo.orca.data import XShards
  import zoo.orca.data.pandas
  from zoo.orca.learn.tf2 import Estimator
  from zoo.ray import RayContext
  import ray
  import os
label_desc: Use image node_id 18 for calling the TestTFRayEstimator obj's underlying member method code with example usage: obj.test_string_input() and returns: model