renamed reticulated apps, bump deps

Author: edavidaja

.github/workflows/deploy.yml

@@ -27,15 +27,14 @@ jobs:
             ./flask-restx/
             ./flask-sentiment-analysis-api/
             ./flask-sentiment-analysis-app/
-            ./image-classifier/
-            ./jupyter-interactive-visualization/
             ./jupyter-static-visualization/
+            ./jupyter-voila/
             ./quarto-lightbox/
+            ./reticulated-image-classifier/
+            ./reticulated-sentiment-analysis-api/
+            ./reticulated-sentiment-analysis-app/
             ./rmarkdown-notebook/
-            ./rmarkdown-static-visualization/
             ./shiny-income-share/
-            ./sentiment-analysis/
-            ./sentiment-analysis-app/
             ./streamlit-income-share/
           require-vanity-path: true
           access-type: all

README.md

@@ -1,13 +1,14 @@
-# RStudio Connect & Python
+# Posit Connect & Python
 
-RStudio Connect is a publishing platform for the work your team creates in R and Python.
+Posit Connect is a publishing platform for the work your team creates in R and Python.
 This repository contains examples of Python content you can deploy to Connect, including:
 
 ## Interactive apps
 
 - [Streamlit](./streamlit-income-share/README.md)
 - [Dash](dash-app/README.md)
 - [Flask](flask-sentiment-analysis-app/README.md)
+- [Voila](./jupyter-voila/README.md)
 
 ### Web APIs
 
@@ -30,16 +31,16 @@ This enables you to use models built in Python to power Shiny apps, visualize pa
 
 ### Interactive apps
 
-- [Serving Sentiment Analysis with Plumber and spaCy](./sentiment-analysis/README.md)
-- [Image Classification with PyTorch and Shiny](./image-classifier/README.md)
+- [Serving Sentiment Analysis with Plumber and spaCy](./reticulatd-sentiment-analysis-api/README.md)
+- [Image Classification with PyTorch and Shiny](./reticulated-image-classifier/README.md)
 
 ### Documents
 
 - [Visualizing pandas dataframes with ggplot2](./rmarkdown-notebook/README.md)
 
 ## Getting Started
 
-You can deploy examples from this repo to your Connect server [via git-backed deployment](https://docs.rstudio.com/connect/user/git-backed/), or clone the repository and deploy examples from their manifests with the [`rsconnect` CLI](https://docs.rstudio.com/rsconnect-python/).
+You can deploy examples from this repo to your Connect server [via git-backed deployment](https://docs.posit.co/connect/user/git-backed/), or clone the repository and deploy examples from their manifests with the [`rsconnect` CLI](https://docs.posit.co/rsconnect-python/).
 
 If you want to explore an example more closely before deploying it:
 
@@ -67,7 +68,7 @@ Overview:
 
 * Create and activate a virtual environment 
 * Run the examples locally
-* Acquire an [API key](https://docs.rstudio.com/connect/user/api-keys/) 
+* Acquire an [API key](https://docs.posit.co/connect/user/api-keys/) 
 * Publish the examples with the [rsconnect cli](https://github.com/rstudio/rsconnect-python)
 * Save the environment and deployment details for future git-backed publishing
 

dash-app/README.md

@@ -12,4 +12,4 @@ rsconnect deploy dash . -n <SERVER-NICKNAME>
 
 ## Resources
 
-[RStudio Connect User Guide - Dash](https://docs.rstudio.com/connect/user/dash/)
+[Posit Connect User Guide - Dash](https://docs.posit.co/connect/user/dash/)

dash-bikeshare/README.md

@@ -9,4 +9,4 @@ rsconnect deploy dash . -n <SERVER-NICKNAME>
 ```
 ## Resources
 
-[RStudio Connect User Guide - Dash](https://docs.rstudio.com/connect/user/dash/)
+[Posit Connect User Guide - Dash](https://docs.posit.co/connect/user/dash/)

fastapi-stock/README.md

@@ -7,4 +7,4 @@ rsconnect deploy fastapi . -n <SERVER-NICKNAME>
 ```
 ## Resources
 
-[RStudio Connect User Guide - FastAPI](https://docs.rstudio.com/connect/user/fastapi/)
+[Posit Connect User Guide - FastAPI](https://docs.posit.co/connect/user/fastapi/)

flask-getting-started-rsc/README.md

@@ -1,4 +1,4 @@
-## Getting Started with Flask and RStudio Connect
+## Getting Started with Flask and Posit Connect
 
 This application structure and set-up follows the steps outlined in the links below.
 
@@ -17,7 +17,7 @@ rsconnect deploy api . -n <SERVER-NICKNAME>
 
 #### Resources
 
-- [RStudio Connect User Guide - Flask](https://docs.rstudio.com/connect/user/flask/)
-- [Getting Started with Flask and RStudio Connect](https://support.rstudio.com/hc/en-us/articles/360044700234)
-- [Deploying Flask Applications to RStudio Connect with Git and rsconnect-python](https://support.rstudio.com/hc/en-us/articles/360045224233)
-- [Using Templates and Static Assets with Flask Applications on RStudio Connect](https://support.rstudio.com/hc/en-us/articles/360045279313)
+- [Posit Connect User Guide - Flask](https://docs.posit.co/connect/user/flask/)
+- [Getting Started with Flask and Posit Connect](https://support.rstudio.com/hc/en-us/articles/360044700234)
+- [Deploying Flask Applications to Posit Connect with Git and rsconnect-python](https://support.rstudio.com/hc/en-us/articles/360045224233)
+- [Using Templates and Static Assets with Flask Applications on Posit Connect](https://support.rstudio.com/hc/en-us/articles/360045279313)

flask-getting-started-sqlalchemy/README.md

@@ -1,19 +1,19 @@
-## Using Flask-SQLAlchemy with Flask Applications on RStudio Connect
+## Using Flask-SQLAlchemy with Flask Applications on Posit Connect
 
 This application structure and set-up follows the steps outlined in
-[Using Flask-SQLAlchemy with Flask Applications on RStudio Connect](https://support.rstudio.com/hc/en-us/articles/360045926213):
+[Using Flask-SQLAlchemy with Flask Applications on Posit Connect](https://support.rstudio.com/hc/en-us/articles/360045926213):
 
 - Creating a minimal application based on the Flask-SQLAlchemy quickstart guide
 - Define the database model to use
 - Initialize a SQLite database
 - Commit data to the database
-- Deploy the application to RStudio Connect with rsconnect-python
+- Deploy the application to Posit Connect with rsconnect-python
 
 And, optionally:
 
 - Switch to a PostgreSQL database server
 - Add `pyscopg2` dependency to the Python environment
-- Add the database server connection string as an environment variable in RStudio Connect
+- Add the database server connection string as an environment variable in Posit Connect
 - Redeploy the application
 
 ---
@@ -33,6 +33,6 @@ rsconnect deploy api . -n <SERVER-NICKNAME>
 
 ### Additional Resources
 
-- [Getting Started with Flask and RStudio Connect](https://support.rstudio.com/hc/en-us/articles/360044700234)
-- [Deploying Flask Applications to RStudio Connect with Git and rsconnect-python](https://support.rstudio.com/hc/en-us/articles/360045224233)
-- [Using Templates and Static Assets with Flask Applications on RStudio Connect](https://support.rstudio.com/hc/en-us/articles/360045279313)
+- [Getting Started with Flask and Posit Connect](https://support.rstudio.com/hc/en-us/articles/360044700234)
+- [Deploying Flask Applications to Posit Connect with Git and rsconnect-python](https://support.rstudio.com/hc/en-us/articles/360045224233)
+- [Using Templates and Static Assets with Flask Applications on Posit Connect](https://support.rstudio.com/hc/en-us/articles/360045279313)

flask-getting-started-sqlalchemy/templates/index.html

@@ -9,7 +9,7 @@
   <body class="pa">
     <div class="ba">
     {% for user in users %}
-      Hello, {{ user.username }} from RStudio Connect! <br />
+      Hello, {{ user.username }} from Posit Connect! <br />
     {% endfor %}
     </div>
   </body>

flask-sentiment-analysis-api/README.md

@@ -14,4 +14,4 @@ rsconnect deploy api . -n <SERVER-NAME>
 
 ## Resources
 
-[RStudio Connect User Guide - Flask](https://docs.rstudio.com/connect/user/flask/)
+[Posit Connect User Guide - Flask](https://docs.posit.co/connect/user/flask/)

flask-sentiment-analysis-app/README.md

@@ -16,4 +16,4 @@ rsconnect deploy api . -n <SERVER-NAME>
 
 ## Resources
 
-[RStudio Connect User Guide - Flask](https://docs.rstudio.com/connect/user/flask/)
+[Posit Connect User Guide - Flask](https://docs.posit.co/connect/user/flask/)