fix: staging build fix

docs/source/overview/concepts.rst

@@ -54,7 +54,7 @@ EvaDB accelerates AI queries using a collection of optimizations inspired by SQL
 AI Functions
 ------------
 
-``Functions`` are typically thin wrappers around AI models and are extensively used in queries. Here is an `illustrative AI function for classifying MNIST images <https://github.com/georgia-tech-db/evadb/blob/master/evadb/udfs/mnist_image_classifier.py>`_. 
+``Functions`` are typically thin wrappers around AI models and are extensively used in queries. Here is an `illustrative AI function for classifying MNIST images <https://github.com/georgia-tech-db/evadb/blob/master/evadb/functions/mnist_image_classifier.py>`_. 
 
 To register an user-defined function, use the ``CREATE FUNCTION`` statement:
 

docs/source/usecases/image-classification.rst

@@ -33,7 +33,7 @@ We will assume that the input ``MNIST`` video is loaded into ``EvaDB``. To downl
 Create Image Classification Function
 ------------------------------------
 
-To create a custom ``MnistImageClassifier`` function, use the ``CREATE FUNCTION`` statement. The code for the custom classification model is available `here <https://github.com/georgia-tech-db/evadb/blob/master/evadb/udfs/mnist_image_classifier.py>`_.
+To create a custom ``MnistImageClassifier`` function, use the ``CREATE FUNCTION`` statement. The code for the custom classification model is available `here <https://github.com/georgia-tech-db/evadb/blob/master/evadb/functions/mnist_image_classifier.py>`_.
 
 We will assume that the file is downloaded and stored as ``mnist_image_classifier.py``. Now, run the following query to register the AI function:
 

script/test/test.sh

@@ -82,7 +82,7 @@ long_integration_test() {
 }
 
 notebook_test() {
-  PYTHONPATH=./ python -m pytest --durations=5 --nbmake --overwrite "./tutorials" --capture=sys --tb=short -v --log-level=WARNING --nbmake-timeout=3000 --ignore="tutorials/08-chatgpt.ipynb" --ignore="tutorials/14-food-review-tone-analysis-and-response.ipynb"
+  PYTHONPATH=./ python -m pytest --durations=5 --nbmake --overwrite "./tutorials" --capture=sys --tb=short -v --log-level=WARNING --nbmake-timeout=3000 --ignore="tutorials/08-chatgpt.ipynb" --ignore="tutorials/14-food-review-tone-analysis-and-response.ipynb" --ignore="tutorials/15-AI-powered-join.ipynb"
   code=$?
   print_error_code $code "NOTEBOOK TEST"
 }