From 1285f54a8c034b30dbac8af83b550203c9d68240 Mon Sep 17 00:00:00 2001
From: LawrenceFulton <47426563+LawrenceFulton@users.noreply.github.com>
Date: Fri, 15 Dec 2023 11:38:27 +0100
Subject: [PATCH] Small doc fix (#1695)

---
 docs/getting_started/representation/llm.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/getting_started/representation/llm.md b/docs/getting_started/representation/llm.md
index d27bcdcb..3d9bc985 100644
--- a/docs/getting_started/representation/llm.md
+++ b/docs/getting_started/representation/llm.md
@@ -123,7 +123,7 @@ much better results with a `flan-T5` like model:
 from transformers import pipeline
 from bertopic.representation import TextGeneration
 
-prompt = "I have a topic described by the following keywords: [KEYWORDS]. Based on the previous keywords, what is this topic about?""
+prompt = "I have a topic described by the following keywords: [KEYWORDS]. Based on the previous keywords, what is this topic about?"
 
 # Create your representation model
 generator = pipeline('text2text-generation', model='google/flan-t5-base')