Update app.py

app.py

@@ -1,6 +1,11 @@
 from transformers import AutoModelForSequenceClassification, AutoTokenizer,pipeline
 import torch
 import gradio as gr
+title = "Check our Sexism Detector"
+description = """
+This is a fine-tuned model of distilbert-base on the Explainable Detection of Online Sexism (EDOS) dataset. It is intended to be used as a classification model for identifying tweets (0 - not sexist; 1 - sexist)."""
+
+article = "Try our model in Hungging face using :https://huggingface.co/NLP-LTU/BERTweet-large-sexism-detector"
 
 model = AutoModelForSequenceClassification.from_pretrained('NLP-LTU/bertweet-large-sexism-detector')
 def predict(prompt):