From 48664d73551e0dfee34ec843d92dac6df1504ccf Mon Sep 17 00:00:00 2001 From: Smoothengineer <160827599+Smoothengineer@users.noreply.github.com> Date: Sun, 20 Oct 2024 21:37:49 +0530 Subject: [PATCH] chore: minor updates in the README (#1400) --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 921f9f2da..da7eeeee6 100644 --- a/README.md +++ b/README.md @@ -8,11 +8,11 @@ [![Downloads](https://static.pepy.tech/badge/pandasai)](https://pepy.tech/project/pandasai) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1ZnO-njhL7TBOYPZaqvMvGtsjckZKrv2E?usp=sharing) -PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time and effort when working with data. +PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time, and effort when working with data. # 🚀 Deploying PandasAI -PandasAI can be used in a variety of ways. You can easily use it in your Jupyter notebooks or streamlit apps, or you can deploy it as a REST API such as with FastAPI or Flask. +PandasAI can be used in a variety of ways. You can easily use it in your Jupyter notebooks or Streamlit apps, or you can deploy it as a REST API such as with FastAPI or Flask. If you are interested in the managed PandasAI Cloud or our self-hosted Enterprise Offering, [contact us](https://forms.gle/JEUqkwuTqFZjhP7h8). @@ -20,7 +20,7 @@ If you are interested in the managed PandasAI Cloud or our self-hosted Enterpris You can find the full documentation for PandasAI [here](https://pandas-ai.readthedocs.io/en/latest/). -You can either decide to use PandasAI in your Jupyter notebooks, streamlit apps, or use the client and server architecture from the repo. +You can either decide to use PandasAI in your Jupyter notebooks, Streamlit apps, or use the client and server architecture from the repo. ## ☁️ Using the platform