Add README

Author: stuartquin

README.md

@@ -0,0 +1,44 @@
+# DataQA
+
+TODO: Add logo here
+
+DataQA is a tool to perform AI model quality assessment (QA) using an interactive app that can be shared with technical and non-technical members of your team.
+
+TODO: Add a gif.
+
+The official documentation page is at: [docs.dataqa.ai]().
+
+# Installation
+
+`pip install dataqa`
+
+# Quick start
+
+## Step 1: create an account
+
+Go to (https://app.dataqa.ai/)[https://app.dataqa.ai/login] and follow the steps to create your first project. Once your account and your first project have been created, you will see a screen such as this one:
+
+TODO: Add screenshot of the screen with the publish string
+
+You will need this key later in order to be able to create your first QA app. You can always come back to this page to find it.
+
+## Step 2: Publish your data
+
+Creating your first shareable QA app is as simple as this:
+
+```python
+import pandas as pd
+from lib.publish import DataQA 
+dataqa = DataQA()
+dataqa.login()
+# Prompt username and password
+df = pd.DataFrame([[1, "Laptop", 1600], [2, "Mouse", 10]], columns=["id", "product", "price"])
+dataqa.publish(PROJECT_ID, df)
+```
+
+The `PROJECT_ID` is the hash string on the dataqa project page.
+
+## Step 3: Use the UI to explore your data
+
+TODO: add screenshot or GIF
+

pyproject.toml

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 [tool.poetry]
-name = "dataqa-python"
-version = "0.1.0"
-description = ""
+name = "dataqa"
+version = "2.0.1"
+description = "Python Client library for DataQA"
 authors = ["Maria Mestre <maria@dataqa.ai>","Stuart Quin <stuart@dataqa.ai>"]
+readme = "README.md"
+homepage = "https://dataqa.ai"
+repository = "https://github.com/dataqa/dataqa-python"
+documentation = "https://docs.dataqa.ai"
 
 [tool.poetry.dependencies]
 python = "^3.8"