enable emojis for mkdocs

Signed-off-by: Shivdeep Singh <[email protected]>

README.md

@@ -14,6 +14,7 @@
 Data Prep Lab is a community project to democratize and accelerate unstructured data preparation for LLM app developers. 
 With the explosive growth of LLM-enabled use cases, developers are faced with the enormous challenge of preparing use case-specific unstructured data to fine-tune or instruct-tune the LLMs.
 As the variety of use cases grows, so does the need to support:
+
 - New modalities of data (code, language, speech, visual) 
 - New ways of transforming the data to optimize the performance of the resulting LLMs for each specific use case.
 - Large variety in the scale of data to be processed, from laptop-scale to datacenter-scale
@@ -35,6 +36,7 @@ These modules have been tested in producing pre-training datasets for the [Grani
 
 The modules are built on common frameworks (for Spark and Ray), called the *data processing library* that allows the developers to build new custom modules that readily scale across a variety of runtimes.
 Eventually, Data Prep Lab will offer consistent APIs and configurations across the following underlying runtimes.
+
 1. Python runtime
 2. Ray runtime (local and distributed)
 3. Spark runtime (local and distributed)
@@ -59,6 +61,7 @@ Contributors are welcome to add new modules as well as add runtime support for e
 
 
 Features of the toolkit: 
+
 - Aiming to accelerate unstructured data prep burden for the "long tail" of LLM use cases
 - Growing set of module implementations across multiple runtimes and targeting laptop-scale to datacenter-scale processing
 - A growing set of sample pipelines developed for real enterprise use cases
@@ -184,6 +187,3 @@ Thanks to the [BigCode Project](https://github.com/bigcode-project) that has bee
 
 
 
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-
-

mkdocs.yml

@@ -1,27 +1,31 @@
 site_name: "Data Prep LAB"
 docs_dir: .
 site_dir: ../site
+repo_url: https://github.com/IBM/data-prep-lab
 nav:
- - Home: README.md
- - Overview: data-processing-lib/doc/overview.md
- - Tutorials:
- - data-processing-lib/doc/transform-tutorials.md
- - Simple: data-processing-lib/doc/simplest-transform-tutorial.md
- - Advanced: data-processing-lib/doc/advanced-transform-tutorial.md
- - KFP Pipeline: kfp/doc/simple_transform_pipeline.md
+  - Home: README.md
+  - Overview: data-processing-lib/doc/overview.md
+  - Tutorials:
+  - data-processing-lib/doc/transform-tutorials.md
+  - Simple: data-processing-lib/doc/simplest-transform-tutorial.md
+  - Advanced: data-processing-lib/doc/advanced-transform-tutorial.md
+  - KFP Pipeline: kfp/doc/simple_transform_pipeline.md
 theme:
- name: 'material'
- favicon: 'data-processing-lib/doc/favicon.ico'
- logo: 'data-processing-lib/doc/logo-ibm.png'
- palette:
- primary: black
-# palette:
-# primary: 'blue grey'
- features:
- - navigation.tabs
+  name: "material"
+  favicon: "data-processing-lib/doc/favicon.ico"
+  logo: "data-processing-lib/doc/logo-ibm.png"
+  palette:
+  primary: black
+ # palette:
+ # primary: 'blue grey'
+  features:
+  - navigation.tabs
 plugins:
-- search
-- mkdocstrings
-- badges
-- same-dir
-
+ - search
+ - mkdocstrings
+ - badges
+ - same-dir
+markdown_extensions:
+ - pymdownx.emoji:
+ emoji_index: !!python/name:material.extensions.emoji.twemoji
+ emoji_generator: !!python/name:material.extensions.emoji.to_svg