diff --git a/README.md b/README.md
index f9c548a..e99ab25 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,28 @@
-# T5 One Line Summary⚡️
+---
+
+datasets:
+
+- arxiv
+
+tags:
+
+- summarization
+
+widget:
+
+- text: "summarize: We describe a system called Overton, whose main design goal is to support engineers in building, monitoring, and improving production machine learning systems. Key challenges engineers face are monitoring fine-grained quality, diagnosing errors in sophisticated applications, and handling contradictory or incomplete supervision data. Overton automates the life cycle of model construction, deployment, and monitoring by providing a set of novel high-level, declarative abstractions. Overton's vision is to shift developers to these higher-level tasks instead of lower-level machine learning tasks. In fact, using Overton, engineers can build deep-learning-based applications without writing any code in frameworks like TensorFlow. For over a year, Overton has been used in production to support multiple applications in both near-real-time applications and back-of-house processing. In that time, Overton-based applications have answered billions of queries in multiple languages and processed trillions of records reducing errors 1.7-2.9 times versus production systems."
+            
+license: mit
+
+---
+
+# T5 One Line Summary
 A T5 model trained on 370,000 research papers, to generate one line summary based on description/abstract of the papers
 
-## Usage
+Trained with [**simpleT5**](https://https://github.com/Shivanandroy/simpleT5)⚡️in just 3 lines of code 
+> [**simpleT5**](https://https://github.com/Shivanandroy/simpleT5)⚡️ is a python package built on top of **pytorch lightning** and **transformers**🤗, to quickly train T5 models.
+
+## Usage:[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1HrfT8IKLXvZzPFpl1EhZ3s_iiXG3O2VY?usp=sharing)
 ```python
 model_name = "snrspeaks/t5-one-line-summary"