From da592797e2b6e0e2d4e929fa46ff9eddea0c8f10 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jes=C3=BAs=20P=C3=A9rez=20Lorenzo?=
 <jesusperezlorenzo@rigzin.local>
Date: Mon, 27 Jan 2025 08:31:52 +0000
Subject: [PATCH] chore: fix install content

---
 install.md | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/install.md b/install.md
index 0b935c1..23a98d8 100644
--- a/install.md
+++ b/install.md
@@ -1,12 +1,16 @@
+---
+gitea: none
+include_toc: true
+---
+
  # PerfSPEC Learning Phase  INSTALLATION
 
  By follwing thesed steps you can easy run **PerfSPEC notebooks**
 
-[[TOC]] 
-
 ## Python
 
-> [!CAUTION] Due to [TensorFlow requiremens](https://www.tensorflow.org/install/pip) **Python 3.12** is the latest compatible
+> [!CAUTION]
+> Due to [TensorFlow requiremens](https://www.tensorflow.org/install/pip) **Python 3.12** is the latest compatible
 
 
 For Linux
@@ -100,13 +104,15 @@ Connect with a browser to **http://localhost:2718**
 
 Start with [run_perfspec.py](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/learning/python/run_perfspec.py)
 
-> [!CAUTION] A red box will appear at top left corner prompting to install required packages for the loaded notebook, in console where localhost:2718 appers listening [uv](https://docs.astral.sh/uv/) will do the magic by installing them using **pip** 
+> [!CAUTION]
+> A red box will appear at top left corner prompting to install required packages for the loaded notebook, in console where localhost:2718 appers listening [uv](https://docs.astral.sh/uv/) will do the magic by installing them using **pip** 
 
 Note each notebook can import some extra packages like [train_perfspec.py](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/learning/python/train_perfspec.py)
 
 In any case some notebook import content from others.
 
-> [!Tip] When all notebooks have being loaded it will be posible also to use them as a Python script by run it in a terminal o console like this:
+> [!Tip]
+> When all notebooks have being loaded it will be posible also to use them as a Python script by run it in a terminal o console like this:
 
 ```
 python model_perfspec.py -- --help