include descriptions

app.py

@@ -16,7 +16,24 @@ model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
 model.config.max_length = 512
 model.to(device)
 
+article = """
 
+<p style="text-align: justify;"> 
+
+Spanish is a beautiful language and it has many ways of referring to people, neutralizing the genders and using some of the resources inside the language. One would say *Todas las personas asistentes* instead of *Todos los asistentes* and it would end in a more inclusive way for talking about people. 
+
+Given any input, our model will generate a gender neutral sentence, correcting any non-inclusive expressions or words. It's a straightforward and fast solution that creates a positive impact in the contemporary social panorama.
+
+<p align="center">
+  <img src="https://upload.wikimedia.org/wikipedia/commons/2/29/Gender_equality_symbol_%28clipart%29.png" width="250"/>
+</p>
+
+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
+
+</p>
+"""
+
+description = "The purpose of this app is to transform Spanish gendered text into a neutral version, suitable for an unbiased environment"
 
 def postproc(input_sentence, preds):
     try:
@@ -77,7 +94,8 @@ examples=['De acuerdo con las informaciones anteriores , las alumnas se han quej
 
 iface = gr.Interface(fn=get_output, 
                      title="Spanish Text Neutralization app",
-                     description="The purpose of this app is to transform Spanish gendered text into a neutral version, suitable for an unbiased environment",
+                     description=description,
+                     article=article,
                      examples=examples,
                      # inputs="text",
                      inputs=gr.inputs.Textbox(label="Introduce some Spanish text here"),