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## Screenshots (if appropriate):
This pull request adds a new attribute, max_files, to the
MinimalUserBrainEntity class in the BrainsUsers repository. The
max_files attribute represents the maximum number of files allowed for a
brain integration.
This pull request adds Redis configuration to the `celery_config.py`
file. The `CELERY_BROKER_URL` has been replaced with `REDIS_HOST`,
`REDIS_PORT`, and `REDIS_PASS` environment variables to configure the
Redis broker and backend. This change allows for better integration with
Redis in the application.
# Description
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## Screenshots (if appropriate):
This pull request updates the brain authorization and integration
entities. It includes changes to the `retrieve_brain_by_id`,
`update_existing_brain`, `update_existing_brain_secrets`,
`CreateApiBrainDefinition`, `CreateIntegrationBrain`,
`BrainIntegrationSettings`, `BrainIntegrationUpdateSettings`,
`CreateBrainProperties`, and `BrainUpdatableProperties` classes.
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.
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## Screenshots (if appropriate):
---------
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
added ocr
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## Screenshots (if appropriate):
# 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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## Screenshots (if appropriate):
---------
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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# Description
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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
# Description
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## Screenshots (if appropriate):
notification id issue when not in chat fixed
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## Screenshots (if appropriate):
error
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## Screenshots (if appropriate):
increased
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## Screenshots (if appropriate):
fixed where monthly was used in daily
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## Screenshots (if appropriate):
now monthly and better reading database
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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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# Description
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## Screenshots (if appropriate):
added preview env
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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):
added check on customer if still valid
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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
logic
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## Screenshots (if appropriate):
to return a list of DocumentAnswer objects
# Description
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## Screenshots (if appropriate):
- Add `QAInterface` which should be implemented by all custom answer
generator to be compatible with Quivr
- Add `RAGInterface` which should be implemented by all RAG classes
