Update app.py

app.py

@@ -13,6 +13,8 @@ tokenizer = GPT2Tokenizer.from_pretrained('gorkemgoknar/gpt2chatbotenglish')
 tokenizer.model_max_length = 1024
 
 #Dynamic Temperature 
+#See experiment https://www.linkedin.com/pulse/ai-goes-job-interview-g%25C3%25B6rkem-g%25C3%25B6knar
+
 base_temperature = 1.3
 dynamic_temperature_range = 0.15
 
@@ -134,12 +136,13 @@ css="""
 personality_choices = ["Gandalf", "Riddick", "Macleod", "Morpheus", "Neo","Spock","Vader","Indy", "Ig-11","Threepio","Tony Stark","Batman","Vizzini"]
 title = "Metayazar - Movie Chatbot"
 description = "Chat with your favorite movie characters. This space demo has simple interface and simple history as gradio's state did not work need to make a global history, you will have different responses as same gradio machine will be used! Test it out in metayazar.com/chatbot for more movie/character options and history memorized."
+article = "<p style='text-align: center'><a href='https://www.linkedin.com/pulse/ai-goes-job-interview-g%C3%B6rkem-g%C3%B6knar/'>AI Goes to Job Interview</a> | <a href='https://www.linkedin.com/in/goknar/'>Görkem Göknar</a></p>"
 
 #History not implemented in this demo, use metayazar.com/chatbot for a movie and character dropdown chat interface
 ##interface = gr.Interface(fn=greet, inputs=[gr.inputs.Dropdown(personality_choices) ,"text"], title=title, description=description, outputs="text")
 
 history =   {"character": "None", "message_history" : [] }
-interface= gr.Interface(fn=greet, inputs=[gr.inputs.Dropdown(personality_choices) ,"text"], outputs="html",css=css, title=title, description=description)
+interface= gr.Interface(fn=greet, inputs=[gr.inputs.Dropdown(personality_choices) ,"text"], outputs="html",css=css, title=title, description=description,article=article )
       
       
 if __name__ == "__main__":