Merge pull request #5 from huggingface/minor-nits

units/en/unit0/introduction.mdx

@@ -67,8 +67,8 @@ To be able to follow this course, you should have:
 
 If you don't have any of these, don't worry! Here are some resources that can help you:
 
-* [LLM Course](https://huggingface.co/learn/llm-course/en/chapter1/10) will guide you through the basics of using and building with LLMs.
-* [Agents Course](https://huggingface.co/learn/agents-course/en/chapter1/10) will guide you through building AI agents with LLMs.
+* [LLM Course](https://huggingface.co/learn/llm-course/) will guide you through the basics of using and building with LLMs.
+* [Agents Course](https://huggingface.co/learn/agents-course/) will guide you through building AI agents with LLMs.
 
 <Tip>
 

units/en/unit2/gradio-client.mdx

@@ -20,7 +20,7 @@ pip install smolagents[mcp] gradio[mcp] mcp
 
 Now, we can import the necessary libraries and create a simple Gradio interface that uses the MCP Client to connect to the MCP Server.
 
-```python
+
 ```python
 import gradio as gr