Update app.py

app.py

@@ -2,9 +2,13 @@ import gradio as gr
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
 article='''
-# t5-small-spanish-nahuatl
+# Spanish Nahuatl Automatic Translation
 Nahuatl is the most widely spoken indigenous language in Mexico. However, training a neural network for the task of neural machine tranlation is hard due to the lack of structured data. The most popular datasets such as the Axolot dataset and the bible-corpus only consists of ~16,000 and ~7,000 samples respectivly. Moreover, there are multiple variants of Nahuatl, which makes this task even more difficult. For example, a single word from the Axolot dataset can be found written in more than three different ways. Therefore, in this work we leverage the T5 text-to-text sufix training strategy to compensate the lack of data. We first teach the  multilingual model Spanish using English, then we make the transition to Spanish-Nahuatl. The resulting model successfully translates short sentences from Spanish to Nahuatl. We report Chrf and BLEU results.
 
+## Motivation
+
+One of the Sustainable Development Goals is "Reduced Inequalities". We know for sure that language is one 
+
 
 ## Model description
 This model is a T5 Transformer ([t5-small](https://huggingface.co/t5-small)) fine-tuned on spanish and nahuatl sentences collected from the web. The dataset is normalized using 'sep' normalization from [py-elotl](https://github.com/ElotlMX/py-elotl).
@@ -34,18 +38,18 @@ Since the Axolotl corpus contains misaligments, we just select the best samples
 |:-----------------------------------------------------:|
 | Anales de Tlatelolco                                  | 
 | Diario                                                |  
-| Documentos nauas de la Ciudad de México del siglo XVI |  
-| Historia de México narrada en náhuatl y español       |  
-| La tinta negra y roja (antología de poesía náhuatl)   |  
+| Documentos nauas de la Ciudad de México del siglo XVI |  
+| Historia de México narrada en náhuatl y español       |  
+| La tinta negra y roja (antología de poesía náhuatl)   |  
 | Memorial Breve (Libro las ocho relaciones)            |  
-| Método auto-didáctico náhuatl-español                 |  
+| Método auto-didáctico náhuatl-español                 |  
 | Nican Mopohua                                         | 
-| Quinta Relación (Libro las ocho relaciones)           |   
+| Quinta Relación (Libro las ocho relaciones)           |   
 | Recetario Nahua de Milpa Alta D.F                     | 
 | Testimonios de la antigua palabra                     |
 | Trece Poetas del Mundo Azteca                         |
-| Una tortillita nomás - Se taxkaltsin saj              |
-| Vida económica de Tenochtitlan                        |
+| Una tortillita nomás - Se taxkaltsin saj              |
+| Vida económica de Tenochtitlan                        |
 
 Also, to increase the amount of data we collected 3,000 extra samples from the web.
 
@@ -72,6 +76,12 @@ For a fair comparison, the models are evaluated on the same 505 validation  Nahu
 
 The English-Spanish pretraining improves BLEU and Chrf, and leads to faster convergence.
 
+# Team members
+7	 - Emilio Alejandro Morales [(milmor)](https://huggingface.co/milmor)
+8	 - Rodrigo Martínez Arzate  [(rockdrigoma)](https://huggingface.co/rockdrigoma)
+9	 - Luis Armando Mercado [(luisarmando)](https://huggingface.co/luisarmando)
+10	 - Jacobo del Valle [(jjdv)](https://huggingface.co/jjdv)
+
 ## References
 - Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2019. Exploring the limits
 of transfer learning with a unified Text-to-Text transformer.