docs: add release version

Charisn · May 4, 2023 · 95667b9 · 95667b9
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diff --git a/README.md b/README.md
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 # PandasAI 🐼
 
+[![release](https://img.shields.io/pypi/v/pandasai?label=Release&style=flat-square)](https://pypi.org/project/pandasai/)
 [![lint](https://github.com/gventuri/pandas-ai/actions/workflows/ci.yml/badge.svg)](https://github.com/gventuri/pandas-ai/actions/workflows/ci.yml/badge.svg)
 [![](https://dcbadge.vercel.app/api/server/kF7FqH2FwS?style=flat&compact=true)](https://discord.gg/kF7FqH2FwS)
 [![Downloads](https://static.pepy.tech/badge/pandasai/month)](https://pepy.tech/project/pandasai) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
@@ -25,7 +26,7 @@ pip install pandasai
 
 ## Usage
 
->Disclaimer: GDP data was collected from [this source](https://ourworldindata.org/grapher/gross-domestic-product?tab=table), published by World Development Indicators - World Bank (2022.05.26) and collected at National accounts data - World Bank / OECD. It relates to the year of 2020. Happiness indexes were extracted from [the World Happiness Report](https://ftnnews.com/images/stories/documents/2020/WHR20.pdf). Another useful [link](https://data.world/makeovermonday/2020w19-world-happiness-report-2020).
+> Disclaimer: GDP data was collected from [this source](https://ourworldindata.org/grapher/gross-domestic-product?tab=table), published by World Development Indicators - World Bank (2022.05.26) and collected at National accounts data - World Bank / OECD. It relates to the year of 2020. Happiness indexes were extracted from [the World Happiness Report](https://ftnnews.com/images/stories/documents/2020/WHR20.pdf). Another useful [link](https://data.world/makeovermonday/2020w19-world-happiness-report-2020).
 
 PandasAI is designed to be used in conjunction with Pandas. It makes Pandas conversational, allowing you to ask questions about your data and get answers back, in the form of Pandas DataFrames. For example, you can ask PandasAI to find all the rows in a DataFrame where the value of a column is greater than 5, and it will return a DataFrame containing only those rows: