Update app.py

app.py

@@ -8,8 +8,8 @@ question_model = T5ForConditionalGeneration.from_pretrained('ramsrigouthamg/t5_s
 question_tokenizer = T5Tokenizer.from_pretrained('ramsrigouthamg/t5_squad_v1')
 
 def get_question(sentence,answer,mdl,tknizer):
-  text = "context: {} answer: {}".format(sentence,answer)
-  print (text)
+  prompt = "context: {} answer: {}".format(sentence,answer)
+  print (prompt)
   max_len = 256
   encoding = tknizer.encode_plus(text,max_length=max_len, pad_to_max_length=False,truncation=True, return_tensors="pt")
 
@@ -32,8 +32,8 @@ def get_question(sentence,answer,mdl,tknizer):
   return Question
 
 
-context = "Elon Musk said that Tesla will not accept payments in Bitcoin because of environmental concerns."
-answer = "Elon Musk"
+Text = "Elon Musk said that Tesla will not accept payments in Bitcoin because of environmental concerns."
+Answer = "Elon Musk"
 
 ques = get_question(context,answer,question_model,question_tokenizer)
 print ("question: ",ques)
@@ -41,23 +41,27 @@ print ("question: ",ques)
 import gradio as gr
 
 title = "Question Generator Three"
-description = "Paste or write a text. Provide a short answer or noun keywords. Submit and the machine will attempt to generate a coherent question"
-context = gr.inputs.Textbox(lines=5, placeholder="Enter paragraph/context here...")
-answer = gr.inputs.Textbox(lines=3, placeholder="Enter answer/keyword here...")
+description = "Paste or write a text. You may also paste or write a short answer, preferably a noun or noun phrase. Submit and the machine will attempt to generate a coherent question."
+Text = gr.inputs.Textbox(lines=5, placeholder="Enter paragraph/context here...")
+Answer = gr.inputs.Textbox(lines=3, placeholder="Enter answer/keyword here...")
 question = gr.outputs.Textbox( type="auto", label="Question")
 examples = [
                                 ["""Fears of a new Covid-19 cluster linked to a hotpot restaurant have surfaced amid Hong Kong’s Omicron-fuelled fifth wave, while infections tied to an investment bank continued to expand, triggering the evacuation of residents in a building after vertical transmission of the virus was detected.
 On Wednesday, hundreds thronged Covid-19 testing stations in Tuen Mun, with some residents complaining of long waiting times and chaotic arrangements. Authorities have deemed the district a high-risk area because of a higher number of infections.
 Health officials said sewage testing would be conducted in Tuen Mun to monitor the spread of the coronavirus, but a string of preliminary-positive cases detected across the city suggested a wider, more worrying situation.
-""", "a higher number of infections"]
+""", "a higher number of infections"],
+                                ["""Squid Game made history on Wednesday as the first non-English-language television series and the first Korean series to score a nomination for a Screen Actors Guild Award.
+The hit Netflix show, created by Hwang Dong-hyuk, is nominated for ensemble in a drama series alongside The Handmaid’s Tale, The Morning Show, Succession and Yellowstone.
+Squid Game stars Lee Jung-jae and Jung Ho-yeon also landed individual nominations for actor and actress in a drama series, respectively.
+""", "Yellowstone"]
                                
 ]
 
-def generate_question(context,answer):
-  return get_question(context,answer,question_model,question_tokenizer)
+def generate_question(Text,Answer):
+  return get_question(Text,Answer,question_model,question_tokenizer)
 
 iface = gr.Interface(
   fn=generate_question, 
-  inputs=[context,answer], 
+  inputs=[Text,Answer], 
   outputs=question, title=title, description=description, examples=examples)
 iface.launch(debug=False)