Update app.py

app.py

@@ -36,9 +36,13 @@ Given any input, our model will generate a gender neutral sentence, correcting a
 
 One of the toughest challenges when building the app and the model was to find proper data for training the model. Therefore, the team opted to dedicate a considerable amount of time to build it from the scratch. These data has been obtained from a series of guidelines and manuals issued by Spanish Ministry of Health, Social Services and Equality in the matter of the usage of non-sexist language, stipulated in this linked [document](https://www.inmujeres.gob.es/servRecursos/formacion/GuiasLengNoSexista/docs/Guiaslenguajenosexista_.pdf). You can take a look at some details of the process in the linked dataset
 
-Future steps
-
-<h1 style="font-size:4vw">Team Members</h1> 
+<h1 style="font-size:2vw">Future steps</h1> 
+  <li> First of all, we would love to engage people and maybe inspire them to work on similar projects, because we believe this kind of projects we can actually make a difference</a>
+  <li> Following that, a broader dataset would help reducing some overfitting and making a more robust model </a>
+  <li> Further training of different model backbones</a>
+  <li> Reduce the gender biases existing on some of the data for training Language Models by using the output of this model</a>
+  <li> Share ideas with the community for further improving </a>
+<h1 style="font-size:2vw">Team Members</h1> 
 
 <ul>
   <li> Fernando Velasco  <a href="https://huggingface.co/fermaat">(fermaat)</a>