Update README.md

README.md

@@ -52,7 +52,7 @@ Contrastively Learned Attention-Based Stratified PTM Predictor (CLASPP), a uni
 
 ### From conda:    
 
-![python=3.9.23](https://img.shields.io/badge/Python-3.9.23-green)  ![jupyterlab=4.0.0](https://img.shields.io/badge/jupyterlab-4.0.0-blue)  
+![python=3.9.23](https://img.shields.io/badge/Python-3.9.23-green)  
 
 
 ### From pip:  
@@ -76,11 +76,66 @@ Installing torch can be the most complex part
 
 
 
-
 <p align="center">
   <img width="100%" src= "figures/Screenshot%20from%202025-07-11%2014-19-21.png">
 </p>
 
+
+
+
+### Creating this conda environment 
+(yml file is include but torch sometimes makes it not useable depending on your nvidia driver)
+
+Just type these lines of code into the terminal after you download this repository (this assumes you have [anaconda](https://www.anaconda.com/) already installed) 
+
+```   
+conda create -n claspp_forward python=3.9.23 
+``` 
+
+```   
+conda deactivate 
+``` 
+
+```   
+conda activate claspp_forward
+``` 
+
+```   
+pip3 install numpy==2.0.2
+```
+
+```   
+pip3 install transformers==4.53.2
+```
+
+```   
+pip3 install datasets==4.0.0
+```
+
+
+### **For torch you will have to download to the torch's specification if you want gpu acceleration from this website ** [pytroch](https://pytorch.org/get-started/locally/) ** 
+
+  
+
+```   
+pip3 install torch torchvision torchaudio 
+``` 
+
+  
+
+### the terminal line above might look different for you  
+
+  
+
+We provided code to test Phosformer-ST (see section below) 
+
+  
+:tada: you are know ready to run the code :tada: 
+  
+
+
+
+
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->