code: def main():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--CLASSPATH",
          type=str,
          default=os.environ.get("CLASSPATH"),
          help="""Path to your CoreNLP directory.""",
      )  # for example, set $CLASSPATH to "C:\\stanford-corenlp-4.5.2\\stanford-corenlp-4.5.2\\*"
      args = parser.parse_args()
      print("CLASSPATH:", args.CLASSPATH)
      CLASSPATH = args.CLASSPATH
  
      os.environ["CLASSPATH"] = CLASSPATH
  
      if (
          "pipeline" not in st.session_state
      ):  # run pipeline once per user session
          en_nlp_stanza = stanza.Pipeline(
              "en", processors="tokenize, pos, lemma, depparse"
          )
          st.session_state["pipeline"] = en_nlp_stanza
  
      st.title("Displaying Semgrex Queries")
  
      html_string = "<h3>Enter a text below, along with your Semgrex query of choice.</h3>"
      st.markdown(html_string, unsafe_allow_html=True)
      (
          input_txt,
          input_queries,
          client_files,
          window_input,
          visualize_xpos,
      ) = get_input()
  
      show_window, start_window, end_window = window_input
  
      clicked = st.button(
          "Load Semgrex search visualization",
          help="""Semgrex search visualizations only display 
      sentences with a query match. Non-matching sentences are not shown.""",
      )  # use the on_click param
  
      run_semgrex_process(
          input_txt=input_txt,
          input_queries=input_queries,
          client_files=client_files,
          show_window=show_window,
          clicked=clicked,
          pipe=st.session_state["pipeline"],
          start_window=start_window,
          end_window=end_window,
          visualize_xpos=visualize_xpos,
      )
  
file_path: stanza/stanza/utils/visualization/semgrex_app.py
imports: import streamlit
  import streamlit.components.v1
  from semgrex_visualizer import visualize_search_str
  from semgrex_visualizer import edit_html_overflow
  from io import StringIO
  import os
  import stanza
  import typing
  from typing import List, Tuple, Any
  import argparse
label_desc: Use image node_id 7 for calling a global function with example usage: main() without return types