tweak

app.py

@@ -3,13 +3,8 @@ import torch
 import plotly.express as px
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
-txt = st.text_area('Text to analyze', '''
-    It was the best of times, it was the worst of times, it was
-    the age of wisdom, it was the age of foolishness, it was
-    the epoch of belief, it was the epoch of incredulity, it
-    was the season of Light, it was the season of Darkness, it
-    was the spring of hope, it was the winter of despair, (...)
-    ''')
+deftxt = "I hate you cancerous insects so much"
+txt = st.text_area('Text to analyze', deftxt)
 
 # load tokenizer and model weights
 tokenizer = AutoTokenizer.from_pretrained("s-nlp/roberta_toxicity_classifier")