This example takes a CSV with URLs and image descriptions and then runs our artistic QR Code maker over each of them, generating two QR codes for each URL + description pair. This is great if you want to create 100s of art QR Codes in one huge batch.
Provide one or more Gooey.AI workflow runs.
You can add multiple runs from the same recipe (e.g. two versions of your copilot) and we'll run the inputs over both of them.
➕ Add a Workflow
Upload or link to a CSV or google sheet that contains your sample input data.
For example, for Copilot, this would sample questions or for Art QR Code, would would be pairs of image descriptions and URLs.
Remember to includes header names in your CSV too.
Submit Links in Bulk
Please select which CSV column corresponds to your workflow's input fields.
For the outputs, select the fields that should be included in the output CSV.
To understand what each field represents, check out our API docs.
🤲 Show All Columns
Qr Code Data
Qr Code Input Image
Qr code vcard
Qr Code File
Use Url Shortener
Image Prompt Controlnet Models
Image Prompt Strength
Image Prompt Scale
Image Prompt Pos X
Image Prompt Pos Y
Selected Controlnet Model
Controlnet Conditioning Scale
Obj Pos X
Obj Pos Y
Cleaned Qr Code
(optional) Add one or more Gooey.AI Evaluator Workflows to evaluate the results of your runs.
➕ Add an Eval
Run cost = 1 credits
Generated in 49.24s at Oct 03, 2023 11:37 AM
Building complex AI workflows like copilot) and then evaluating each iteration is complex.
Workflows are affected by the particular LLM used (GPT4 vs PalM2), their vector DB knowledge sets (e.g. your google docs), how synthetic data creation happened (e.g. how you transformed your video transcript or PDF into structured data), which translation or speech engine you used and your LLM prompts. Every change can affect the quality of your outputs.
To get started:
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