Add examples

app.py

@@ -12,7 +12,7 @@ The project is supervised by [Dr Marcus Tomalin](https://www.crassh.cam.ac.uk/ab
 <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 (or select one of the provided examples) and see if the system generates an appropriate counterspeech response."""
 ARTICLE = f"""
 **Model:** {DEFAULT_MODEL}<br>
 **Decoding parameters:** {DECODING_CONFIG}
@@ -23,5 +23,5 @@ model = ResponseGenerator(DEFAULT_MODEL, DECODING_CONFIG)
 def respond(input):
     return model.respond(input)
 
-demo = gr.Interface(fn=respond, inputs="text", outputs="text", title = TITLE, description = DESCRIPTION, article = ARTICLE)
+demo = gr.Interface(fn=respond, inputs="text", outputs="text", examples=["Muslims are all terrorists", "Jews are selfish and greedy", "Why waste time listening to black women?"], title = TITLE, description = DESCRIPTION, article = ARTICLE)
 demo.launch()