prepare_phrase_corpus.py

# Here we combine both lists into a single set of unique phrases

messages = set(df_404s["phrase"].to_list() + df_canonicals["phrase"].to_list())

messages = list(messages)[:-1]

similarity_input_placeholder = tf.placeholder(tf.string, shape=(None))
similarity_message_encodings = embed(similarity_input_placeholder)
with tf.Session() as session:
  session.run(tf.global_variables_initializer())
  session.run(tf.tables_initializer())
  
  # We are truncating the messages list to 15 to simplify the visualization
  run_and_plot(session, similarity_input_placeholder, messages[:15],
               similarity_message_encodings)

AttributeError: module 'tensorflow' has no attribute 'placeholder'

@s0g00d try tensorflow 1