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To automate the flow from Airtable to Google Colab and back to Airtable, you can use Pipedream to create a workflow that triggers when a new CSV or Google Sheet URL is added to an Airtable field. Here’s a step-by-step guide to set up this automation: ### Step 1: Set Up the Trigger 1. Airtable Trigger: Use the Airtable trigger in Pipedream to monitor changes in your Airtable base. You can set it up to trigger when a new record is added or when a specific field is updated with a CSV or Google Sheet URL. ### Step 2: Execute the Google Colab Script 2. Google Colab Execution: Since Pipedream doesn’t natively support executing Google Colab scripts directly, you can use a workaround: - Option 1: If your Colab script can be converted to a Python script, you can run it directly in a Pipedream Python code step. - Option 2: Use a webhook in your Colab script. You can set up a webhook endpoint in your Colab script that Pipedream can call to trigger the execution of the script. This requires setting up a server in Colab to listen for incoming requests. ### Step 3: Process and Return Data to Airtable 3. Return Data to Airtable: Once the Colab script processes the data, you can send the results back to Airtable using the Airtable API. You can use a Pipedream action to update the Airtable record with the processed data. ### Example Pipedream Workflow Here’s a high-level overview of how you can set up the Pipedream workflow: ```
markdown 1. Trigger: Airtable trigger that monitors a specific field for new URLs. 2. Action: HTTP request to trigger the Google Colab script via a webhook (if using Option 2). 3. Action: Process the response from the Colab script. 4. Action: Use the Airtable API to update the record with the processed data.