This workflow also can take any PDF or Doc and run the best OCR + table data extraction on it, saving each PDF page into rows of a Google Sheet. Perfect for making a PDF-based dataset to create your own chatbot or enterprise copilot (ie. just add the finished Google sheet url to the doc section in https://gooey.ai/copilot).
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⚙️ Settings
ChatGPT 16k (openai)
Avoid Repetition
The maximum number of tokens to generate in the completion. Increase to generate longer responses.
Higher values allow the LLM to take more risks. Try values larger than 1 for more creative applications or 0 to ensure that LLM gives the same answer when given the same user input.
How many answers should the copilot generate? Additional answer outputs increase the cost of each run.
Whisper Large v2 (openai)
Whisper Large v3 (openai)
Whisper Hindi Large v2 (Bhashini)
Whisper Telugu Large v2 (Bhashini)
Conformer English (ai4bharat.org)
Conformer Hindi (ai4bharat.org)
Vakyansh Bhojpuri (Open-Speech-EkStep)
Google Cloud V1
Chirp / USM (Google V2)
Deepgram
Azure Speech
Seamless M4T (Facebook Research)
Massively Multilingual Speech (MMS) (Facebook Research)
English
Run cost = 500 credits
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Documents
🔗1010863.pdf
Google Sheets URL
https://docs.google.com/spreadsheets/d/1kQ61JLOX5S4pYp0Gm70lHpKb5rdfDhDTdoo0Tfv2_F8/edit?usp=sharing
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