From 11c78d6272ef6835e9ea5f84c884e177adf93977 Mon Sep 17 00:00:00 2001
From: Kye <kye@apacmediasolutions.com>
Date: Sat, 5 Aug 2023 18:54:18 -0400
Subject: [PATCH] examples swaems

Former-commit-id: 22bb52324fe6f4b87913c17662054d6f96fbb8b9
---
 DOCS/agents/README.md | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/DOCS/agents/README.md b/DOCS/agents/README.md
index f0cd32f5..ac68af44 100644
--- a/DOCS/agents/README.md
+++ b/DOCS/agents/README.md
@@ -31,7 +31,7 @@ Each directory contains different components of the swarm. The `models` direct
 
 Let's see how simple it is to use these components with some examples:
 
-```
+```python
 # Import the necessary classes
 from swarms.models import Anthropic, HuggingFaceLLM
 
@@ -53,7 +53,6 @@ print("\nHuggingFaceLLM output:")
 print(huggingface.generate(prompt))
 ```
 
-Copy code
 
 And to build an agent:
 
@@ -68,7 +67,6 @@ agent = Agent(
 )
 ```
 
-Copy code
 
 In conclusion, the Agents in Swarms represent a new way of thinking about AI. They are simple, modular, and highly customizable, allowing you to create powerful AI systems that are more than the sum of their parts. And as always, we're just getting started. There's always room for improvement, for simplification, for making things even better. That's the spirit of open collaboration. That's the spirit of Swarms.