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>
increased default value to 1000
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
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## Screenshots (if appropriate):
truncating long response
# Description
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also include relevant motivation and context.
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## Screenshots (if appropriate):
cleaning old code to introduce better patern
# Description
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## Screenshots (if appropriate):
added explore button and removed unused feature openai key
# Description
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also include relevant motivation and context.
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## Screenshots (if appropriate):
reduced docker frontend size by 20 🤣
# Description
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## Screenshots (if appropriate):
reduced size by 2
# Description
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my feature works
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## Screenshots (if appropriate):
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
fix/brain-management-shared-brain-access
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## Screenshots (if appropriate):
# Description
New Modules folder with "user" module:
- controller: contains the current route
- entity: contains the current Models (TO be renamed DTO)
- repository: contains the current repo
- service: methods used by other modules
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# Description
https://github.com/StanGirard/quivr/issues/1569
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---------
Co-authored-by: mamadoudicko <mamadoudicko100@gmail.com>
# Description
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my feature works
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# Description
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## Screenshots (if appropriate):
fixed
# Description
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## Screenshots (if appropriate):
# Description
Currently, the production Docker images are very large, sitting at 4.17
GB for the frontend image, and 3.49 GB for backend images. This change
adds multi-stage builds, to optimize the image sizes, which results in
the following improvements:
- frontend image size: 4.17 GB -> 1.64 GB
- backend image size: 3.49 GB -> 1.71 GB
I hope this is appropriate as there is no open issue for this that I
know of.
I implemented this change and tested it locally, and would be glad to
discuss this and open an issue if necessary.
## Checklist before requesting a review
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## Screenshots (if appropriate):
Image sizes before:
<img width="1416" alt="image"
src="https://github.com/StanGirard/quivr/assets/8296549/fcbb020f-8165-4549-ae30-823318691ec6">
Image sizes after:
<img width="1416" alt="image"
src="https://github.com/StanGirard/quivr/assets/8296549/d3f43c78-be26-4c38-9d23-9c1b0e9e37f2">
