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main ... fixapi

Author SHA1 Message Date
Shreya Shankar 54faaed230 fix: add code ops and extract to python api 2025-11-24 14:18:25 -06:00
3 changed files with 7 additions and 7 deletions

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@ -101,7 +101,7 @@
ignore_init_summary: false
trim_doctest_flags: true
:::: docetl.schemas.CodeMapOp
::: docetl.schemas.CodeMapOp
options:
show_root_heading: true
heading_level: 3
@ -110,7 +110,7 @@
ignore_init_summary: false
trim_doctest_flags: true
:::: docetl.schemas.CodeReduceOp
::: docetl.schemas.CodeReduceOp
options:
show_root_heading: true
heading_level: 3
@ -119,7 +119,7 @@
ignore_init_summary: false
trim_doctest_flags: true
:::: docetl.schemas.CodeFilterOp
::: docetl.schemas.CodeFilterOp
options:
show_root_heading: true
heading_level: 3
@ -128,7 +128,7 @@
ignore_init_summary: false
trim_doctest_flags: true
:::: docetl.schemas.ExtractOp
::: docetl.schemas.ExtractOp
options:
show_root_heading: true
heading_level: 3

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@ -36,7 +36,7 @@ DocETL uses [LiteLLM](https://github.com/BerriAI/litellm) under the hood, which
## Preparing the Data
Organize your medical transcript data in a JSON file as a list of objects. Each object should have a "src" key containing the transcript text. You can download the example dataset [here](../assets/medical_transcripts.json).
Organize your medical transcript data in a JSON file as a list of objects. Each object should have a "src" key containing the transcript text. You can download the example dataset [here](assets/medical_transcripts.json).
!!! example "Sample Data Structure"

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@ -167,5 +167,5 @@ markdown_extensions:
- pymdownx.details
- attr_list
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg
emoji_index: !!python/name:material.extensions.emoji.twemoji
emoji_generator: !!python/name:material.extensions.emoji.to_svg