Update README.md

README.md

@@ -12,13 +12,13 @@ inference:
     max_length: 64
 widget:
 - text: >-
-    Learn to build generative AI applications with an expert AWS instructor with the 2-day Developing Generative AI Applications on AWS course.
+    paraphraser: Learn to build generative AI applications with an expert AWS instructor with the 2-day Developing Generative AI Applications on AWS course.
   example_title: AWS course
 - text: >-
-    In healthcare, Generative AI can help generate synthetic medical data to train machine learning models, develop new drug candidates, and design clinical trials.
+    paraphraser: In healthcare, Generative AI can help generate synthetic medical data to train machine learning models, develop new drug candidates, and design clinical trials.
   example_title: Generative AI
 - text: >-
-    By leveraging prior model training through transfer learning, fine-tuning
+    paraphraser: By leveraging prior model training through transfer learning, fine-tuning
     can reduce the amount of expensive computing power and labeled data needed
     to obtain large models tailored to niche use cases and business needs.
   example_title: Fine Tuning
@@ -52,7 +52,7 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 tokenizer = AutoTokenizer.from_pretrained("Ateeqq/Text-Rewriter-Paraphraser", token='YOUR_TOKEN')
 model = AutoModelForSeq2SeqLM.from_pretrained("Ateeqq/Text-Rewriter-Paraphraser", token='YOUR_TOKEN')
 
-text = "Data science is a field that deals with extracting knowledge and insights from data. "
+text = "paraphraser:" + "Data science is a field that deals with extracting knowledge and insights from data. "
 
 inputs = tokenizer(text, return_tensors="pt")