This pull request adds a new method called `calculate_pricing` to the
`GPT4Brain` class in the codebase. This method calculates the pricing
for the GPT4Brain model. Additionally, the user usage in the chat
controller has been updated to include the new pricing calculation
method.
This pull request updates the system templates to include support for
custom personality. It adds a new parameter called "custom_personality"
to the generate_stream function, which allows users to provide a custom
personality for the AI assistant. This feature enhances the user
experience by allowing them to personalize the assistant's responses.
# Description
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---------
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
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# Description
* This just corrects the word response in the function that reads chat
history.
* I have also noticed a little automatic change due to formatting. But
the update seems to be inline with the accepted formatting of this
project so I kept it.
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## Screenshots (if appropriate):
improve speed by using memoisation
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## Screenshots (if appropriate):
moved to brains
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Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
now you can download & view pdf
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## Screenshots (if appropriate):
selection now fixed
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## Screenshots (if appropriate):
optimized number of calls
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## Screenshots (if appropriate):
backend test fixed
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## Screenshots (if appropriate):
fixed when brainful is empty
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## Screenshots (if appropriate):
added metadata object a bit bigger
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## Screenshots (if appropriate):
now updates
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## Screenshots (if appropriate):
adding metadata to api
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## Screenshots (if appropriate):
increased
# Description
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## Screenshots (if appropriate):
fixed where monthly was used in daily
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## Screenshots (if appropriate):
moving from daily to monthly
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## Screenshots (if appropriate):
update vectors at launch if missign
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## Screenshots (if appropriate):
fixed public brains avaiable
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## Screenshots (if appropriate):
user settings to premium
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## Screenshots (if appropriate):
fixed when model is not choosen
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## Screenshots (if appropriate):
updated available models
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## Screenshots (if appropriate):
# DONE
- generate_stream, generate and save answer in BE
# TODO
- Create an intermediary make_streaming_recursive_tool_calls async
function
- Save intermediary answers in new message logs column then fetch and
display in front
