add automatic github cloning

topics/statistics/tutorials/fine_tuning_protTrans/tutorial.md

@@ -60,30 +60,18 @@ Dephosphorylation is a biochemical process (post-translational modification) inv
 > <hands-on-title>GPU-enabled Interactive Jupyter Notebook for Machine Learning</hands-on-title>
 >
 > - {% tool [GPU-enabled Interactive Jupyter Notebook for Machine Learning](interactive_tool_ml_jupyter_notebook) %}
->    - *"Do you already have a notebook?"*: `Start with default notebooks`
+>    - *"Do you already have a notebook?"*: `Start with a code repository`
+>    - *"Online code repository (Git-based) URL"*: `https://github.com/anuprulez/fine-tune-protTrans-repository` 
 >    - Click *"Run Tool"*
 >
 >    > <comment-title></comment-title>
+>    > The above step automatically fetches the notebook and datasets from the provided GitHub URL and initiates a JupyterLab.
 >    >  If you do not have access to this resource in Galaxy Europe, please apply for it at: [Access GPU-JupyterLab](http://usegalaxy.eu/gpu-request). It may take a day or two to receive access.
 >    >
 >    {: .comment}
 {: .hands_on}
 
 
-### Fetch notebook and protein sequences
-
-> <hands-on-title>Fetch data from Zenodo</hands-on-title>
->
-> 1. Create a new folder named `fine-tuning` alongside other folders such as "data", "outputs", "elyra" or you can use your favourite folder name.
-> 2. Inside the created folder, clone a code repository by clicking on "Git" icon.
-> 3. In the shown popup, provide the repository path as shown below and then, click on "clone":
->    ```
->    https://github.com/anuprulez/fine-tune-protTrans-repository
->    ```
->
-{: .hands_on}
-
-
 ## Fine-tuning notebook
 From the cloned repository, open the `fine-tune-protTrans-dephophorylation.ipynb` notebook. The notebook contains all the necessary scripts for processing protein sequences, creating and configuring protein large language models, training it on the protein sequences evaluating them on the test protein sequences and visualising results. Let's look at these key steps of fine-tuning.