model update

README.md

@@ -14,7 +14,7 @@ pipeline_tag: text2text-generation
 tags:
 - questions and answers generation
 widget:
-- text: " Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
+- text: "Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
   example_title: "Questions & Answers Generation Example 1" 
 model-index:
 - name: lmqg/t5-base-tweetqa-qag-np
@@ -89,7 +89,7 @@ from lmqg import TransformersQG
 # initialize model
 model = TransformersQG(language='en', model='lmqg/t5-base-tweetqa-qag-np')
 # model prediction
-question = model.generate_qa(list_context=["William Turner was an English painter who specialised in watercolour landscapes"], list_answer=["William Turner"])
+question = model.generate_qa("William Turner was an English painter who specialised in watercolour landscapes")
         
 ```
 
@@ -100,7 +100,7 @@ from transformers import pipeline
 # initialize model
 pipe = pipeline("text2text-generation", 'lmqg/t5-base-tweetqa-qag-np')
 # question generation
-question = pipe(' Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
+question = pipe('Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
 
 ```