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Added multi-language support to the tokenizer #32

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2ce2399
docs(pypi): Improve README display and badge reliability
aksg87 Jul 22, 2025
4fe7580
feat: add trusted publishing workflow and prepare v1.0.0 release
aksg87 Jul 22, 2025
e696a48
Fix: Resolve libmagic ImportError (#6)
aksg87 Aug 1, 2025
5447637
docs: clarify output_dir behavior in medication_examples.md
kleeena Aug 1, 2025
9c47b34
Merge pull request #11 from google/fix/libmagic-dependency-issue
aksg87 Aug 1, 2025
175e075
Removed inline comment in medication example
kleeena Aug 2, 2025
9472099
Merge pull request #15 from kleeena/docs/update-medication_examples.md
aksg87 Aug 2, 2025
e6c3dcd
docs: add output_dir="." to all save_annotated_documents examples
aksg87 Aug 2, 2025
1fb1f1d
Merge pull request #17 from google/fix/output-dir-consistency
aksg87 Aug 2, 2025
13fbd2c
build: add formatting & linting pipeline with pre-commit integration
aksg87 Aug 3, 2025
c8d2027
style: apply pyink, isort, and pre-commit formatting
aksg87 Aug 3, 2025
146a095
ci: enable format and lint checks in tox
aksg87 Aug 3, 2025
aa6da18
Merge pull request #24 from google/feat/code-formatting-pipeline
aksg87 Aug 3, 2025
ed65bca
Add LangExtractError base exception for centralized error handling
aksg87 Aug 3, 2025
6c4508b
Merge pull request #26 from google/feat/exception-hierarchy
aksg87 Aug 3, 2025
8b85225
fix: Remove LangFun and pylibmagic dependencies (v1.0.2)
aksg87 Aug 3, 2025
88520cc
Merge pull request #28 from google/fix/remove-breaking-dep-langfun
aksg87 Aug 3, 2025
75a6f12
Fix save_annotated_documents to handle string paths
aksg87 Aug 3, 2025
a415b94
Merge pull request #29 from google/fix-save-annotated-documents-mkdir
aksg87 Aug 3, 2025
8289b3a
feat: Add OpenAI language model support
aksg87 Aug 3, 2025
c8ef723
Merge pull request #31 from google/feature/add-oai-inference
aksg87 Aug 3, 2025
dd63ea5
Added multi-language support to the tokenizer
shankeleven Aug 3, 2025
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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -111,7 +111,7 @@ The extractions can be saved to a `.jsonl` file, a popular format for working wi

```python
# Save the results to a JSONL file
lx.io.save_annotated_documents([result], output_name="extraction_results.jsonl")
lx.io.save_annotated_documents([result], output_name="extraction_results.jsonl", output_dir=".")

# Generate the visualization from the file
html_content = lx.visualize("extraction_results.jsonl")
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2 changes: 1 addition & 1 deletion docs/examples/longer_text_example.md
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Expand Up @@ -76,7 +76,7 @@ result = lx.extract(
print(f"Extracted {len(result.extractions)} entities from {len(result.text):,} characters")

# Save and visualize the results
lx.io.save_annotated_documents([result], output_name="romeo_juliet_extractions.jsonl")
lx.io.save_annotated_documents([result], output_name="romeo_juliet_extractions.jsonl", output_dir=".")

# Generate the interactive visualization
html_content = lx.visualize("romeo_juliet_extractions.jsonl")
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2 changes: 1 addition & 1 deletion docs/examples/medication_examples.md
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Expand Up @@ -62,7 +62,7 @@ for entity in result.extractions:
print(f"• {entity.extraction_class.capitalize()}: {entity.extraction_text}{position_info}")

# Save and visualize the results
lx.io.save_annotated_documents([result], output_name="medical_ner_extraction.jsonl")
lx.io.save_annotated_documents([result], output_name="medical_ner_extraction.jsonl", output_dir=".")

# Generate the interactive visualization
html_content = lx.visualize("medical_ner_extraction.jsonl")
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