Add link to MLMI page

app.py

@@ -6,13 +6,13 @@ DECODING_CONFIG = {"max_new_tokens": 100, "no_repeat_ngram_size": 3, "num_beams"
 
 TITLE = "Automating Counterspeech in Dialogue Systems"
 DESCRIPTION = """
-Built by [Shane Weisz](https://shaneweisz.com) for my MPhil project on _Automating Counterspeech in Dialogue Systems_ at Cambridge University.
+Built by [Shane Weisz](https://shaneweisz.com) for my research project on _Automating Counterspeech in Dialogue Systems_ as part of the [MPhil in Machine Learning and Machine Intelligence at Cambridge University](https://www.mlmi.eng.cam.ac.uk/).
 <br/>
 The project is supervised by [Dr Marcus Tomalin](https://www.crassh.cam.ac.uk/about/people/marcus-tomalin/) and forms part of the [Giving Voice to Digital Democracies](https://www.crassh.cam.ac.uk/research/projects-centres/giving-voice-to-digital-democracies/) project on the _The Social Impact of Artificially Intelligent Communications Technology_.
 <br/>
 The system is built by fine-tuning [DialoGPT](https://huggingface.co/microsoft/DialoGPT-medium#:~:text=DialoGPT%20is%20a%20SOTA%20large,single%2Dturn%20conversation%20Turing%20test) on the [MultiCONAN](https://github.com/marcoguerini/CONAN#Multitarget-CONAN) dataset, a dataset comprising a set of hate speech inputs and appropriate counterspeech responses produced under the supervision of trained NGO operators from [Stop Hate UK](https://www.stophateuk.org/).
 <br/><br/>
-Try it out: **Enter some hate speech and see if the system generates an appropriate counterspeech response.**"""
+**Try it out**: Enter some hate speech and see if the system generates an appropriate counterspeech response."""
 ARTICLE = f"""
 **Model:** {DEFAULT_MODEL}<br>
 **Decoding parameters:** {DECODING_CONFIG}