From f4f09b9a04175054443f561895b89c017e87e52e Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 30 Apr 2024 21:55:52 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 packages/jupyter-ai/jupyter_ai/document_loaders/directory.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/packages/jupyter-ai/jupyter_ai/document_loaders/directory.py b/packages/jupyter-ai/jupyter_ai/document_loaders/directory.py
index 5ee99a88d..083c260b7 100644
--- a/packages/jupyter-ai/jupyter_ai/document_loaders/directory.py
+++ b/packages/jupyter-ai/jupyter_ai/document_loaders/directory.py
@@ -1,13 +1,12 @@
+import datetime
 import hashlib
 import itertools
 import os
-import datetime
 import tarfile
 from pathlib import Path
 from typing import List
 
 import dask
-from langchain_community.document_loaders import PyPDFLoader
 from langchain.schema import Document
 from langchain.text_splitter import TextSplitter
 from langchain_community.document_loaders import PyPDFLoader
@@ -16,6 +15,7 @@
 # Download a single tar file from arXiv and store in a temp folder for RAG, then run learn on it.
 def arxiv_to_text(id):  # id is numbers after "arXiv" in arXiv:xxxx.xxxxx
     import arxiv
+
     # Get the paper from arxiv
     outfile = id + datetime.datetime.now().strftime("_%Y-%m-%d-%H-%M") + ".tex"
     paper = next(arxiv.Client().results(arxiv.Search(id_list=[id])))