some description

app.py

@@ -2,6 +2,10 @@ import gradio as gr
 from transformers import AutoModel, AutoTokenizer
 from sklearn.neighbors import NearestNeighbors
 
+title = "Temporal evolution of word association (Overselling :P)"
+description = "Based on TimeLMs which is a RoBERTa model finetuned on tweets at periodic interval"
+article = "This outputs the top 500 similar tokens to the input word, as a list. Stay tuned for more info"
+
 available_models = ['2019',
                     '2020']
 
@@ -64,5 +68,7 @@ def topk(word,model):
 interface = gr.Interface(fn=topk, 
                         inputs=[gr.Textbox(label="Word"), gr.Dropdown(available_models)],
                         outputs=gr.outputs.Textbox()
-                        )
+                        title = title,
+                        description = description,
+                        article = article)
 interface.launch()