This pull request adds PDF generation functionality and improves the
formatting of emails. It includes a new module for generating PDFs using
the fpdf2 library and updates the email templates to use markdown
formatting for better readability.
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### Summary:
This PR introduces PDF generation functionality, improves email
formatting, sanitizes filenames, updates various files and dependencies,
and updates `docker-compose.dev.yml`.
**Key points**:
- Added PDF generation functionality using the `fpdf2` library
- Improved email formatting
- Sanitized filenames using the `unidecode` library
- Updated `backend/modules/assistant/ito/ito.py` to generate PDFs and
sanitize filenames
- Added `pdf_generator.py` in `backend/modules/assistant/ito/utils/` for
PDF generation
- Updated `Pipfile` and `Pipfile.lock` in
`backend/modules/assistant/ito/utils/` to include `unidecode`
- Updated `requirements.txt` with new dependencies
- Updated `docker-compose.dev.yml`
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# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
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### Summary:
This PR adds a new script for evaluating the RAG model using the Ragas
library, with results saved as a JSON file and printed to the console.
**Key points**:
- New script `run_evaluation.py` added to
`backend/tests/ragas_evaluation/`.
- The script processes documents, generates replies using a QuivrRAG
chain, and evaluates the replies using specified metrics.
- Results are saved as a JSON file and printed to the console.
- The script can be run from the command line with various options.
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---------
Co-authored-by: Damien Mourot <damien.mourot@gmail.com>
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
# Description
Optimize the docker image for cpu-only environment. (PyTorch in cpu
mode, cuda not installed etc) This should reduce the backend docker
image size by ~2
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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## Screenshots (if appropriate):
# Description
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## Screenshots (if appropriate):
This pull request includes a feature update to the newest version of
litellm. This update brings in the latest enhancements and bug fixes to
improve the functionality and performance of the software.
# Description
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# Description
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also include relevant motivation and context.
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## Screenshots (if appropriate):
---------
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
added ocr
# Description
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## Screenshots (if appropriate):
moved to brains
# Description
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## Screenshots (if appropriate):
---------
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
adding metadata to api
# Description
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## Screenshots (if appropriate):
user settings to premium
# Description
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# Description
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# Description
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## Screenshots (if appropriate):
upgraded
# Description
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## Screenshots (if appropriate):
reduce sampling
# Description
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## Screenshots (if appropriate):
To enable the ingestion of copy protected PDF via OCR instead of text
extraction
# Description
Copy protected PDF can't be properly imported via the standard langchain
loader.
See the following errors:
```
2023-11-15 14:16:31,927 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
[nltk_data] Downloading package punkt to
[nltk_data] /home/pascal_gula_luccid_ai/nltk_data...
[nltk_data] Unzipping tokenizers/punkt.zip.
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /home/pascal_gula_luccid_ai/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
Error processing file: detectron2 is not installed, pytesseract is not installed and the text of the PDF is not extractable. To process this file, install detectron2, install pytesseract, or remove copy protection from the PDF.
```
```
2023-11-15 15:04:14,624 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
Error processing file: Unable to get page count. Is poppler installed and in PATH?
```
```
023-11-15 15:59:11,886 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
Error processing file: tesseract is not installed or it's not in your PATH. See README file for more information.
```
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## Screenshots (if appropriate):
None
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
reduced size by 2
# Description
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# Description
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## Screenshots (if appropriate):
fixed
# Description
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## Screenshots (if appropriate):
* 🗃️ new table for invitations to subscribe to brain
* ✨ new BrainSubscription class
* ✨ new subscription router
* 👽️ add RESEND_API_KEY to .env in BE
* 📦 add 'resend' lib to requirements
* ♻️ fix some stanGPT
* feat: user can create api keys
* fix: linting on build
* Update backend/routes/api_key_routes.py
* chore: rename and refactor AuthBearer
* chore: add types
