Update app.py

app.py

@@ -1,67 +0,0 @@
-
-
-
-# import ktrain
-# import gradio as gr
-# from gradio import Blocks, Interface, Parallel, Tabs, TabItem, Markdown
-# Tabs
-# gr.Blocks()
-# gr.Tabs()
-# gr.TabbedInterface()
-
-"""
-from gradio import Blocks, Interface, Parallel, Tabs, TabItem, Markdown, Textbox
-
-with Blocks() as demo:
-	Markdown("Text")
-	with Tabs():
-		with TabItem("Name 1"):
-			text_input = Textbox()
-			text_output = Textbox()
-"""
-
-"""
-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 have true labels 0,1,2 respectively. For details about VS2, please refer to our paper (linked provided in the corresponding Hugging Face repository)."
-
-predictor_bert = ktrain.load_predictor('bert')
-predictor_mental = ktrain.load_predictor('mentalbert')
-predictor_phs = ktrain.load_predictor('phsbert')
-
-def BERT(text):
-	results = predictor_bert.predict(str(text))
-	return str(results)
-	
-def MentalBERT(text):
-	results = predictor_mental.predict(str(text))
-	return str(results)
-	
-def PHSBERT(text):
-	results = predictor_phs.predict(str(text))
-	return str(results)
-
-bert_io = Interface(fn=BERT, inputs="text", outputs="text")
-mental_io = Interface(fn=MentalBERT, inputs="text", outputs="text")
-phs_io = Interface(fn=PHSBERT, inputs="text", outputs="text")
-
-vs = Parallel(bert_io, mental_io, phs_io, 
-	examples=examples, 
-	title=title, 
-	description=desc,
-	theme="peach")
-	
-def model(text):
-	return "Predictions unavailable - to be completed."
-
-hm = Interface(fn=model, inputs="text", outputs="text")
-
-# interfaces = [vs, hm]
-# interface_names = ["Vaccine Sentiment Task", "Health Mention Task"]
-
-# TabbedInterface(interfaces, interface_names).launch()
-
-"""