Update README.md

Author: AlexanderRicht

README.md

@@ -1,7 +1,7 @@
 ![Federal Reserve symbol](https://media.istockphoto.com/id/1308151210/photo/fed-federal-reserve-of-usa-sybol-and-sign.jpg?s=612x612&w=0&k=20&c=bO642TWIyj2hGte2WqW3CrWbd3DD3BA6TSRWzH6ocYg= "Federal Reserve")
 
 # FredBrain: A Python API for retrieving Federal Reserve Economic Data at Scale and feeding it to OpenAI
-FredBrain is a Python package that offers a practical approach for accessing economic data from the Federal Reserve ([FRED API Documentation](https://fred.stlouisfed.org/docs/api/fred/)). It is built to assist those involved in economic research, financial analysis, and model development by providing a straightforward means of data retrieval. Additionally, it takes an experimental approach to integrating the OpenAI GPT framework into the class with the ultimate aim of creating an Ad-Hoc GPT economist expert to assist you in your analysis. Hence, why we refer to the class as `FredBrain`. The class itself will hopefully act as the Brain to power OpenAI Chat Completions. 
+[FredBrain](https://pypi.org/project/FredBrain/0.2.0/) is a Python package that offers a practical approach for accessing economic data from the Federal Reserve ([FRED API Documentation](https://fred.stlouisfed.org/docs/api/fred/)). It is built to assist those involved in economic research, financial analysis, and model development by providing a straightforward means of data retrieval. Additionally, it takes an experimental approach to integrating the OpenAI GPT framework into the class with the ultimate aim of creating an Ad-Hoc GPT economist expert to assist you in your analysis. Hence, why we refer to the class as `FredBrain`. The class itself will hopefully act as the Brain to power OpenAI Chat Completions. 
 
 Utilizing familiar libraries such as `pandas`, `datetime`, `requests`, and  `openai` FredBrain facilitates the transformation of JSON responses into user-friendly `DataFrame` objects. This process is designed to be intuitive, allowing users to focus more on their analysis, less on data wrangling and to leverage OpenAI chat for analysis support and conclusions.