Create README.md

Author: raphaeljafriLB

README.md

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+# Labelbox Connector for Pandas
+
+Access the Labelbox Connector for Pandas, an open-source Python API that handles CSVs and Dataframes very well
+- `labelpandas.client.create_data_rows_from_table` :   Creates Labelbox data rows (and metadata) given a Pandas table
+- `labelpandas.client.create_table_from_dataset`   :   Creates a Pandas table given a Labelbox dataset (coming soon)
+- `labelpandas.client.upsert_table_metadata`       :   Updates Pandas table metadata columns given a Labelbox dataset (coming soon)
+- `labelpandas.client.upsert_labelbox_metadata`    :   Updates Labelbox metadata given a Pandas table (coming soon)
+
+The Demo code supplied in this Github is designed to run in a Google Colab, but the code can be adapted to any notebook environment.
+
+Labelbox is the enterprise-grade training data solution with fast AI enabled labeling tools, labeling automation, human workforce, data management, a powerful API for integration & SDK for extensibility. Visit [Labelbox](http://labelbox.com/) for more information.
+
+This library is currently in beta. It may contain errors or inaccuracies and may not function as well as commercially released software. Please report any issues/bugs via [Github Issues](https://github.com/Labelbox/labelpandas/issues).
+
+
+## Table of Contents
+
+* [Requirements](#requirements)
+* [Configuration](#configuration)
+* [Use](#Use)
+
+## Requirements
+
+* [Labelbox account](http://app.labelbox.com/)
+* [Generate a Labelbox API key](https://labelbox.com/docs/api/getting-started#create_api_key)
+
+## Configuration
+
+Install labelpandas to your Python environment. The installation will also add the Labelbox SDK.
+
+```
+pip install labelpandas
+import labelpandas
+```
+
+## Use
+
+The `client` class requires the following arguments:
+- `lb_api_key` = Labelbox API Key