Update app.py

app.py

@@ -6,6 +6,8 @@ examples = [
 	["I only get my kids the ones I got....I've turned down many so called 'vaccines'"], 
 	["In child protective services, further providing for definitions, for immunity from liability"], 
 	["Lol what? Measles is a real thing. Get vaccinated"]]
+title = "Vaccine Sentiment Task - VS2"
+desc = "Enter vaccine-related tweets to generate sentiment from 3 models (BERT, MentalBERT, PHS-BERT). Label 0='vaccine critical', 1='neutral', 2='vaccine supportive'. The three provided examples are labelled 0,1,2 respectively. For details about VS2, refer to our paper (linked provided in https://huggingface.co/publichealthsurveillance/PHS-BERT)."
 
 predictor_bert = ktrain.load_predictor('bert')
 predictor_mental = ktrain.load_predictor('mentalbert')
@@ -28,6 +30,7 @@ mental_io = gr.Interface(fn=mentalbert, inputs="text", outputs="text")
 phs_io = gr.Interface(fn=phsbert, inputs="text", outputs="text")
 
 Parallel(bert_io, mental_io, phs_io, 
-	examples=examples, title="Vaccine Sentiment Task - VS2", 
-	description="Enter vaccine-related tweets to generate sentiment from 3 models (BERT, MentalBERT, PHS-BERT). Label 0='vaccine critical', 1='neutral', 2='vaccine supportive'. The three provided examples are labelled 0,1,2 respectively. For details about VS2, refer to our paper (linked provided in https://huggingface.co/publichealthsurveillance/PHS-BERT).",
+	examples=examples, 
+	title=title, 
+	description=desc,
 	theme="peach").launch()