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Thank you for contributing to LangChain! - [ ] **PR title**: community: Add configurable `VisualFeatures` to the `AzureAiServicesImageAnalysisTool` - [ ] **PR message**: - **Description:** The `AzureAiServicesImageAnalysisTool` is a good service and utilises the Azure AI Vision package under the hood. However, since the creation of this tool, new `VisualFeatures` have been added to allow the user to request other image specific information to be returned. Currently, the tool offers neither configuration of which features should be return nor does it offer any newer feature types. The aim of this PR is to address this and expose more of the Azure Service in this integration. - **Dependencies:** no new dependencies in the main class file, azure.ai.vision.imageanalysis added to extra test dependencies file. - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. Although no tests exist for already implemented Azure Service tools, I've created 3 unit tests for this class that test initialisation and credentials, local file analysis and a test for the new changes/ features option. - [ ] **Lint and test**: All linting has passed. --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Chester Curme <chester.curme@gmail.com> |
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| .. | ||
| brandfetch-brandfetch-2.0.0-resolved.json | ||
| building.jpg | ||
| default-encoding.py | ||
| docusaurus-sitemap.xml | ||
| duplicate-chars.pdf | ||
| example-utf8.html | ||
| example.html | ||
| example.json | ||
| example.mht | ||
| facebook_chat.json | ||
| factbook.xml | ||
| fake-email-attachment.eml | ||
| fake.odt | ||
| fake.vsdx | ||
| hello_world.js | ||
| hello_world.m4a | ||
| hello_world.py | ||
| hello.msg | ||
| hello.pdf | ||
| layout-parser-paper.pdf | ||
| mlb_teams_2012.csv | ||
| mlb_teams_2012.sql | ||
| multi-page-forms-sample-2-page.pdf | ||
| non-utf8-encoding.py | ||
| README.org | ||
| README.rst | ||
| sample_rss_feeds.opml | ||
| sitemap.xml | ||
| slack_export.zip | ||
| stanley-cups.csv | ||
| stanley-cups.tsv | ||
| stanley-cups.xlsx | ||
| test_empty.csv | ||
| test_nominal.csv | ||
| whatsapp_chat.txt | ||
Example Docs
------------
The sample docs directory contains the following files:
- ``example-10k.html`` - A 10-K SEC filing in HTML format
- ``layout-parser-paper.pdf`` - A PDF copy of the layout parser paper
- ``factbook.xml``/``factbook.xsl`` - Example XML/XLS files that you
can use to test stylesheets
These documents can be used to test out the parsers in the library. In
addition, here are instructions for pulling in some sample docs that are
too big to store in the repo.
XBRL 10-K
^^^^^^^^^
You can get an example 10-K in inline XBRL format using the following
``curl``. Note, you need to have the user agent set in the header or the
SEC site will reject your request.
.. code:: bash
curl -O \
-A '${organization} ${email}'
https://www.sec.gov/Archives/edgar/data/311094/000117184321001344/0001171843-21-001344.txt
You can parse this document using the HTML parser.