update for public-facing tutorials

Author: johnnygreco

nemo/NeMo-Data-Designer/README.md

@@ -4,7 +4,7 @@ This directory contains the tutorial notebooks for getting started with NeMo Dat
 
 ## 🐳 Deploy the NeMo Data Designer microservice locally
 
-In order to run these notebooks, you must have the NeMo Data Designer microservice deployed locally via docker compose. See the [deployment guide](https://aire.gitlab-master-pages.nvidia.com/microservices/nmp/latest/nemo-microservices/latest/set-up/deploy-as-microservices/data-designer/docker-compose.html) for more details.
+In order to run these notebooks, you must have the NeMo Data Designer microservice deployed locally via docker compose. See the [deployment guide](hhttp://docs.nvidia.com/nemo/microservices/latest/set-up/deploy-as-microservices/data-designer/docker-compose.html) for more details.
 
 ## 📦 Set up the environment
 

nemo/NeMo-Data-Designer/intro-tutorials/1-the-basics.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "> ⚠️ **Warning**: NeMo Data Designer is current in Early Release and is not recommended for production use.\n",
     ">\n",
-    "> **Note**: In order to run this notebook, you must have the NeMo Data Designer microservice deployed locally via docker compose. See the [deployment guide](https://aire.gitlab-master-pages.nvidia.com/microservices/nmp/latest/nemo-microservices/latest/set-up/deploy-as-microservices/data-designer/docker-compose.html) for more details.\n",
+    "> **Note**: In order to run this notebook, you must have the NeMo Data Designer microservice deployed locally via docker compose. See the [deployment guide](http://docs.nvidia.com/nemo/microservices/latest/set-up/deploy-as-microservices/data-designer/docker-compose.html) for more details.\n",
     "\n",
     "<br>\n",
     "\n",

nemo/NeMo-Data-Designer/intro-tutorials/2-structured-outputs-and-jinja-expressions.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "> ⚠️ **Warning**: NeMo Data Designer is current in Early Release and is not recommended for production use.\n",
     ">\n",
-    "> **Note**: In order to run this notebook, you must have the NeMo Data Designer microservice deployed locally via docker compose. See the [deployment guide](https://aire.gitlab-master-pages.nvidia.com/microservices/nmp/latest/nemo-microservices/latest/set-up/deploy-as-microservices/data-designer/docker-compose.html) for more details.\n",
+    "> **Note**: In order to run this notebook, you must have the NeMo Data Designer microservice deployed locally via docker compose. See the [deployment guide](http://docs.nvidia.com/nemo/microservices/latest/set-up/deploy-as-microservices/data-designer/docker-compose.html) for more details.\n",
     "\n",
     "<br>\n",
     "\n",

nemo/NeMo-Data-Designer/intro-tutorials/3-seeding-with-a-dataset.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "> ⚠️ **Warning**: NeMo Data Designer is current in Early Release and is not recommended for production use.\n",
     ">\n",
-    "> **Note**: In order to run this notebook, you must have the NeMo Data Designer microservice deployed locally via docker compose. See the [deployment guide](https://aire.gitlab-master-pages.nvidia.com/microservices/nmp/latest/nemo-microservices/latest/set-up/deploy-as-microservices/data-designer/docker-compose.html) for more details.\n",
+    "> **Note**: In order to run this notebook, you must have the NeMo Data Designer microservice deployed locally via docker compose. See the [deployment guide](http://docs.nvidia.com/nemo/microservices/latest/set-up/deploy-as-microservices/data-designer/docker-compose.html) for more details.\n",
     "\n",
     "<br>\n",
     "\n",

nemo/NeMo-Data-Designer/pyproject.toml

@@ -3,19 +3,10 @@ name = "nemo-data-designer"
 version = "0.0.1"
 description = "NeMo Data Designer tutorial notebooks"
 readme = "README.md"
-requires-python = ">=3.11"
+requires-python = ">=3.9"
 
 dependencies = [
     "datasets",
-    "huggingface-hub",
     "jupyter",
-    "nemo-microservices[data-designer]==1.1.0rc7",
+    "nemo-microservices[data-designer]",
 ]
-
-[[tool.uv.index]]
-name = "nv-shared-pypi"
-url = "https://urm.nvidia.com/artifactory/api/pypi/nv-shared-pypi/simple"
-default = true
-
-[tool.uv.sources]
-nemo-microservices = { index = "nv-shared-pypi" }