intro text

app.py

@@ -4,6 +4,22 @@ import transformers
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 from transformers import pipeline
 
+title = "Description to Pokemon-Type"
+description = """
+<center>
+Given a written description of a character, real or imagined, living or dead - this bot imagines them as a pokemon
+and then describes which pokemon type they would be. For example...
+
+"Born and raised in the Austrian Empire, Nikolai Tesla studied engineering and physics in the 1870s without receiving a degree, gaining practical experience in the early 1880s working in telephony and at Continental Edison in the new electric power industry."
+would be an electric-type pokemon.
+
+</center>
+"""
+
+article = "Inspired by [this article](https://medium.com/analytics-vidhya/predicting-pok%C3%A9mon-type-with-the-pok%C3%A9dex-7038754dc422)."
+
+
+
 model = AutoModelForSequenceClassification.from_pretrained('mrcoombes/distilbert-wikipedia-pokemon')
 tokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased')