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I'm developing a frontend for this in another project at the moment, but I will leave this issue here if someone has a suggestion for an easier solution like utilizing the additionalQuestions.yaml file, pausing the bot whenever there are unanswered questions or something else
The text was updated successfully, but these errors were encountered:
I currently tried to parse the question and save it to answer.json file
parse all question > try answer based on answer.json if not there > send the question to Openai api > saved back to answer.json > fill the answer based on openai api response >
or
parse all question > fill the answer based on answer.json (edit manually)>
need to check again how many type question is used
@ammar0466 That would be nice. I think you're missing textInputToDropdown (e.g. City - which is something Linkedin should save but doesn't). TextInput can be a numeric only so you might need to add numericInput. I'm maybe missing something but this is on a good track.
P.S. Just a suggestion for the first version, you can do without sending the question to OpenAI, because relying on OpenAI to answer questions in the name of the user - without being aware of user's background - will definitively lead to untruthful answers.
I'm developing a frontend for this in another project at the moment, but I will leave this issue here if someone has a suggestion for an easier solution like utilizing the additionalQuestions.yaml file, pausing the bot whenever there are unanswered questions or something else
The text was updated successfully, but these errors were encountered: