code: def format_chat_prompt(
      message: str,
      instructions=default_instructions,
      bot_name="Falcon",
      user_name="User",
  ) -> str:
      instructions = instructions.strip(" ").strip("\n")
      prompt = instructions
      prompt = f"{prompt}\n{user_name}: {message}\n{bot_name}:"
      return prompt
  
file_path: interpret-text/python/interpret_text/generative/app_hierarchical.py
imports: import streamlit
  import os
  import torch
  import pandas
  import transformers
  from accelerate import Accelerator
  from functools import partial
  from lime_tools.explainers import LocalExplanationHierarchical, LocalExplanationSentenceEmbedder, LocalExplanationLikelihood
  from lime_tools.text_utils import split_into_sentences, extract_non_overlapping_ngrams
  from model_lib.openai_tooling import CompletionsOpenAI
  from model_lib.hf_tooling import HF_LM
  from model_lib.streamlit_frontend import css, explanation_text, start_frontend, ProgressBar
label_desc: Use image node_id 3 for calling a global function with example usage: format_chat_prompt(message, instructions, bot_name, user_name) and returns: prompt