code: def get_category_entries(
      self, category: str, max_count: int, account: str = "enterprise"
  ) -> List[Entry]:
      with FeedlySession(auth=self.token) as sess:
          if account == "enterprise":
              feeds = sess.user.get_enterprise_categories()
          elif account == "personal":
              feeds = sess.user.get_categories()
          else:
              raise ValueError(
                  "Only enterprise and personal account are taken into account"
              )
          keep = None
          for feed in feeds:
              if feeds[feed].json["label"] == category:
                  keep = feeds[feed]
          print(keep)
          category_id = keep.stream_id.content_id
          entries = []
          if account == "enterprise":
              entries = sess.user.get_enterprise_category(
                  category_id
              ).stream_contents(
                  options=StreamOptions(max_count=max_count)
              )
          elif account == "personal":
              entries = sess.user.get_category(
                  category_id
              ).stream_contents(
                  options=StreamOptions(max_count=max_count)
              )
          else:
              raise ValueError(
                  "Only enterprise and personal account are taken into account"
              )
          entries = list(entries)
  
      return entries
  
file_path: transfer-nlp/data/feedly_data.py
imports: import os
  from pathlib import Path
  from random import shuffle
  from typing import List
  import numpy
  import pandas
  import urllib3
  from bs4 import BeautifulSoup
  from feedly.api_client.stream import StreamOptions
  from feedly.api_client.data import Entry
  from feedly.api_client.session import FeedlySession
label_desc: Use image node_id 2 for calling the FeedlyDownloader obj's underlying member method code with example usage: obj.get_category_entries(category, max_count, account) and returns: entries