We employ strong toolkits and python libraries to perform tasks such as vectorizing, clustering, dimensionality reduction, etc. However, our goal is to provide a code-free platform. To achieve that, we set up our workflows in two ways:
"Workflows on the cloud" is the latest step in our journey to a no-code platform.
To use this option, simply click on "Run on the Cloud (beta)" in the last step of setting up a workflow.
This will execute the workflow in the background and you will be notified of the progress under the workflow progress table
When a workflow finishes successfully, it will be marked with "Completed", meaning you can access the results under your dataset.
Google Colab is a Python platform and freely accessible to anyone owning a google account. We have set up all the code and all you need to do is to activate it.
- Click on "Run in Colab (Stable)" in the last step of setting up a workflow. This will automatically copy an access token to your computer and direct you to a new page.
- Then first paste the token in the specified space as shown below, and click on the play button.
Grant permission to run the code by clicking on "Run anyway".
The workflow will start by first installing the required libraries (on Google Colab, not your computer). And then your dataset will be updated based on the workflow you are executing.
Keep an eye on the messages written on the page. They show the progress, when the task is finished and if any problems occurred while running the workflow. The following image shows a sample output of a successful run.
Updated 27 days ago