Update app.py

app.py

@@ -2,7 +2,10 @@ import ktrain
 import gradio as gr
 from gradio.mix import Parallel
 
-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"]]
+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"]]
 
 predictor_bert = ktrain.load_predictor('bert')
 predictor_mental = ktrain.load_predictor('mentalbert')
@@ -24,4 +27,6 @@ bert_io = gr.Interface(fn=bert, inputs="text", outputs="text")
 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).").launch()
+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).").launch()