Update README.md

README.md

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 Welcome to the repository of Silly Machine, a non-profit organization established by Brazilian researchers. Our organization is dedicated to harnessing the capabilities of Natural Language Processing (NLP) and Artificial Intelligence (AI) to combat social injustice. This repository encompasses the source code, data, and documentation pertaining to our projects, which are designed to tackle pressing societal challenges by utilizing state-of-the-art technology.You can visit our  page on [GitHub](https://github.com/Silly-Machine)  as well. Feel free to explore!
 ## TuPy Project 
 The Tupy project, spearheaded by [Felkipe Oliveira](https://github.com/FelipeRamosOliveira), aims to develop machine learning models specifically designed to identify hate speech in Portuguese. These models are trained using data sourced from social networks, focusing on addressing the challenges posed by virtual violence.The TuPy project contains the following repositories:
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 * [Hate speech classifiers](https://huggingface.co/collections/Silly-Machine/hate-speech-classifiers-658eebe8cdc0c4099b1103cb)
 * [Hate speech datasets](https://huggingface.co/collections/Silly-Machine/hate-speech-datasets-658eec57674349122cf7aa79)
 
 
-The TuPy project is the result of the development of Felipe Oliveira's thesis and the work of several collaborators. This project is financed by the Federal University of Rio de Janeiro (UFRJ) and the Alberto Luiz Coimbra Institute for Postgraduate Studies and Research in Engineering (COPPE).
+TuPy is the culmination of collaborative and diverse efforts. In gratitude, I extend this note, acknowledging the contributions of all involved, even those unfamiliar with Hugging Face. This project receives support from the Federal University of Rio de Janeiro ([UFRJ](https://ufrj.br/)) 
+through the Alberto Luiz Coimbra Institute for Postgraduate Studies and Research in Engineering ([COPPE](https://coppe.ufrj.br/))].
 
 ## License
 All projects under the Silly Machine organization are open-source and licensed under the [MIT License](LICENSE). You are encouraged to use, modify, and distribute our code in accordance with this license.