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In this bulk run example, we compare Gooey.AI speech recognition + translations workflows (https://gooey.ai/speech), each of which uses a different AI speech model:
We then evaluate them at https://gooey.ai/eval/ (where you can see what works best....)
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Examples
API
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.
Speech Recognition and Translation
Chichewa ASR via MMS-Large + Google Translate
Seamless M4T v1 - Chichewa Speech Reco
Google USM - Chichewa ASR
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.
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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.
Documents
Audio
Raw Output Text
Run URL
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🧩 Developer Tools and Functions.URL
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🧩 Developer Tools and Functions.Trigger
⌥ Variables
Selected Model
Language
Translation Model
Output Format
Google Translate Target
Source Translation Language
Target Translation Language
Translation Glossary
Price
Run Time
Error Msg
Output Text
(optional) Add one or more Gooey.AI Evaluator Workflows to evaluate the results of your runs.
Speech Recognition Model Evaluator
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⚙️ Settings
Run cost = 1 credits
🏃 Run
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https://storage.googleapis.com/dara-c1b52.appspot.com/daras_ai/media/9f21278c-00d1-11ef-a60d-02420a000174/evaluator-20.csv
https://gooey.ai/eval/?run_id=ypwnjkbhna6n&uid=kKZgp2h1H2YxZYxZ2DbiRfUfeDM2
Generated in 230.6s on
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