deprecate demo (#1767)

Signed-off-by: Fotis Nikolaidis <[email protected]>

.github/workflows/ci_notebooks.yml

@@ -49,8 +49,8 @@ jobs:
             key: ${{ matrix.os }}_python-${{ matrix.python-version }}_${{ hashFiles('pyproject.toml', '*/pyproject.toml') }}
         #---------------------------------------------------
 
-        - name: Install Demo Dependencies
-          run: python -m pip install .[demo]
+        - name: Install Dependencies
+          run: python -m pip install .
 
         - name: Run notebook testing
           env:

.github/workflows/release.yaml

@@ -144,9 +144,4 @@ jobs:
       - name: Push Base Docker image
         run: |
           make build_superduperdb
-          make push_superduperdb
-
-      - name: Push Demo Docker image
-        run: |
-          make build_demo
-          make push_demo
+          make push_superduperdb

README.md

@@ -71,7 +71,7 @@ SuperDuperDB is **not** a database. Think `db = superduper(db)`: SuperDuperDB tr
 
 ## Example use-cases and apps (notebooks)
 
-The demo notebooks below are examples how to make use of different frameworks, model providers, vector databases, retrieval techniques and so on. 
+The notebooks below are examples how to make use of different frameworks, model providers, vector databases, retrieval techniques and so on. 
 
 To learn more about *how* to use SuperDuperDB with your database, please check our [Docs](https://docs.superduperdb.com/) and official [Tutorials](https://docs.superduperdb.com/docs/docs/walkthrough/tutorial_walkthrough).
 

docs/hr/content/docs/get_started/installation.md

@@ -56,7 +56,6 @@ Here are the available categories you can use:
 - `quality`: Installs tools for aiding in the development of high-quality code.
 - `testing`: Installs tools for testing the SuperDuperDB ecosystem.
 - `dev`: Installs all the above categories.
-- `demo`: Installs all the common dependencies and the dependencies required for the `examples`.
 
 You can find more details on these categories in the [pyproject.toml](https://github.com/SuperDuperDB/superduperdb/blob/main/pyproject.toml) file.
 
@@ -70,17 +69,13 @@ If you prefer using Docker, you can pull a pre-built Docker image from Docker Hu
 docker run -p 8888:8888 superduperdb/superduperdb:latest
 ```
 
-This command installs the base `superduperdb` image. If you want to run the ready-to-use examples, you'll need to download the required  dependencies at runtime. Alternatively, we provide a pre-built image  with all the dependencies for examples preinstalled:
+This command installs the base `superduperdb` image. If you want to run the ready-to-use examples, you'll need to download the required  dependencies at runtime. 
 
-```bash
-docker run -p 8888:8888 superduperdb/demo:latest
-```
 
 #### Building the image yourself
 
 For more control, you can build the Docker images yourself using the following commands:
 
 ```bash
 make build_superduperdb
-make build_demo
 ```

docs/hr/content/docs/get_started/quickstart.md

@@ -6,9 +6,9 @@ sidebar_position: 1
 
 Follow these steps to quickly get started:
 
-1. **Explore the demo**
+1. **Explore the Notebooks**
 
-    Visit [https://demo.superduperdb.com](https://demo.superduperdb.com) to explore our interactive demo and get a feel for what SuperDuperDB has to offer. For a high-level overview of our framework, visit our website at [https://superduperdb.com](https://superduperdb.com). This provides a bird's-eye view of the capabilities and features SuperDuperDB has to offer. The notebooks
+    Visit [Colab Notebooks](https://colab.research.google.com/github/SuperDuperDB/superduperdb/blob/main/examples/) to explore our interactive notebooks and get a feel for what SuperDuperDB has to offer. For a high-level overview of our framework, visit our website at [https://superduperdb.com](https://superduperdb.com). This provides a bird's-eye view of the capabilities and features SuperDuperDB has to offer. The notebooks
     hosted there, can be executed directly in the environment, but can also be cloned in [their original form in the open source repo](https://github.com/SuperDuperDB/superduperdb/tree/main/examples), and executed locally.
     These notebooks are also described on this documentation website in the [use-cases section](/docs/use-cases).
 

docs/hr/content/docs/intro.md

@@ -33,7 +33,7 @@ For more information about SuperDuperDB and why we believe it is much needed, [r
 **To get started:**
 This documentation serves as your comprehensive guide to kickstarting your `superduperdb` journey 🚀
 
-Additionally, you can check the use-cases [here in the docs](https://docs.superduperdb.com/docs/category/use-cases) as well as the apps built by the [superduper community](https://github.com/SuperDuperDB/superduper-community-apps) and try all of them with [live on your browser](https://demo.superduperdb.com/)! 
+Additionally, you can check the use-cases [here in the docs](https://docs.superduperdb.com/docs/category/use-cases) as well as the apps built by the [superduper community](https://github.com/SuperDuperDB/superduper-community-apps) and try all of them with [live on your browser](https://colab.research.google.com/github/SuperDuperDB/superduperdb/blob/main/examples/)! 
 
 
 

docs/hr/content/docs/setup/sandbox.md

@@ -29,7 +29,7 @@ make testenv_image
 > 
 > The listed dependencies may refer to:
 > 1. standalone packages (e.g `tensorflow>=2.15.0`)
-> 2. dependency groups listed in `pyproject.toml` (e.g `.[demo,server]`)
+> 2. dependency groups listed in `pyproject.toml` (e.g `.[dev]`)
 
 
 Now add these configurations to your setup by running:

docs/hr/content/use_cases/productionization/sandbox-example.md

@@ -45,7 +45,7 @@ make testenv_image
 > 
 > The listed dependencies may refer to:
 > 1. standalone packages (e.g `tensorflow>=2.15.0`)
-> 2. dependency groups listed in `pyproject.toml` (e.g `.[demo,server]`)
+> 2. dependency groups listed in `pyproject.toml` (e.g `.[dev]`)
 
 Then start the environment with:
 

docs/hr/content/use_cases/sql_examples/multi-modal-duckdb.md

@@ -35,7 +35,7 @@ Real life use cases could be vectorizing diverse things like images, texts and s
 Before proceeding with this use-case, ensure that you have installed the necessary software requirements:
 
 ```bash
-!pip install superduperdb[demo]
+!pip install superduperdb
 ```
 
 ## Connect to Datastore

examples/sandbox-example.ipynb

@@ -71,7 +71,7 @@
     "> \n",
     "> The listed dependencies may refer to:\n",
     "> 1. standalone packages (e.g `tensorflow>=2.15.0`)\n",
-    "> 2. dependency groups listed in `pyproject.toml` (e.g `.[demo,server]`)\n",
+    "> 2. dependency groups listed in `pyproject.toml` (e.g `.[dev]`)\n",
     "\n",
     "\n",
     "Then start the environment with:\n",

pyproject.toml

@@ -123,18 +123,6 @@ enterprise = [
 
 dev = ["superduperdb[torch,apis,docs,quality,testing,server,enterprise]"]
 
-# Dependencies for supported Notebooks in examples dir.
-# Whatever modules are defined in the notebooks, must be also defined here.
-demo = [
-    "ipython",
-    "openai-clip",
-    "datasets>=2.14.6",
-    "soundfile",
-    "sentence-transformers",
-    "opencv-python",
-    "matplotlib",
-    "librosa",
-]
 
 [project.urls]
 homepage = "https://www.superduperdb.com/"