How do I get started using the Demos feature?

The Demos feature allows you to easily share your Gradio machine learning app (demo) both publicly and privately.

To get started using the Demos feature, you need to:

1. Add a demo to your Lambda GPU Cloud account.
2. Host your demo on a new instance.

Add a demo to your Lambda GPU Cloud account

1. In the left sidebar of the dashboard, click Demos. Then, click the Add demo button at the top-right of the dashboard.

   The Add a demo dialog will appear.

   

2. Under Demo Source URL, enter the URL of the Git repository containing your demo’s source code.

   Note

   The Demos feature looks in your Git repository for a file named README.md. If the file doesn’t exist, or if the file doesn’t contain the required properties, you’ll receive a Demo misconfigured error.

   

   The README.md must have at the top a YAML block containing the following:

   ---
   sdk: gradio
   sdk_version: GRADIO-VERSION
   app_file: PATH-TO-APP-FILE
   ---
   

   Replace GRADIO-VERSION with the version of Gradio your demo is built with, for example, 3.24.1.

   Replace PATH-TO-APP-FILE with the path to your Gradio application file (the file containing the Gradio interface code), relative to the root of your Git repository. For example, if your Gradio application file is named app.py and is located in the root directory of your Git repository, replace PATH-TO-APP-FILE with app.py.

   Properties other than sdk, sdk_version, and app_file are ignored by the Demos feature.

   Tip

   If you don’t yet have your own demo, you can try the Demos feature using the demos created by Lambda’s Machine Learning team. Demos created by Lambda’s Machine Learning team include:

   • Stable Diffusion Image Variations
   • Image Mixer
   • Avatar text to image

3. Under Visibility, choose:

   • Public if you want to list your demo in the library of public models shared by the Lambda community.
   • Unlisted if you want your demo accessible only by those who know your demo’s URL.

4. Under Name, give your demo a name. If you choose to make your demo public, the name of your demo will appear in the Lambda library of public models. The name of your demo will also appear in your demo’s URL.

5. (Optional) Under Description, enter a description for your demo.

   The description shows under the name of your demo in your library of demos. If your demo is public, the description also shows under the name of your demo in the Lambda library of public models.

   Note

   You can’t change the name or description of your demo once you add it. However, you can delete your demo then add it again.

6. Click Add demo to save your demo to your Lambda GPU Cloud account.

Host your demo on a new instance

1. In the Demos dashboard, find the row containing the demo you want to host, then click Host. Follow the prompts to launch a new instance.

   Your new instance will take several minutes to launch and for your demo to become accessible.

   Note

   The link to your demo might temporarily appear in the Instances dashboard, then disappear. This is expected behavior and doesn’t mean your instance or demo is broken.

   The models used by demos are often several gigabytes in size, and can take 5 to 15 minutes to download and load.

2. Once your instance is launched and your demo is accessible, a link with your demo’s name will appear under the Demo column. Click the link to access your demo.

   Tip

   To see a gallery of all of your demos, at the top-right of the Demos dashboard, click the See your demos button.

   

Troubleshooting demos

If you experience trouble accessing your demo, the Demos logs can be helpful for troubleshooting.

To view the Demos log files, SSH into your instance or open a terminal in Jupyter Notebook, then run:

sudo bash -c 'for f in /root/virt-sysprep-firstboot.log ~demo/bootstrap.log; do printf "### BEGIN $f\n\n"; cat $f; printf "\n### END $f\n\n"; done > demos_debug_logs.txt; printf "### BEGIN journalctl -u lambda-demos.service\n\n$(journalctl -u lambda-demos.service)\n\n### END journalctl -u lambda-demos.service" >> demos_debug_logs.txt'

This command will produce a file named demos_debug_logs.txt containing the logs for the Demos feature. You can review the logs from within your instance by running less demos_debug_logs.txt. Alternatively, you can download the file locally to review or share.

Here are some examples of how problems present in logs:

Misconfigured README.md file

### BEGIN /home/demo/bootstrap.log

Cloning into '/home/demo/source'...
Traceback (most recent call last):
  File "<stdin>", line 17, in <module>
  File "<stdin>", line 15, in load
  File "pydantic/main.py", line 526, in pydantic.main.BaseModel.parse_obj
  File "pydantic/main.py", line 341, in pydantic.main.BaseModel.__init__
pydantic.error_wrappers.ValidationError: 3 validation errors for Metadata
sdk
  field required (type=value_error.missing)
sdk_version
  field required (type=value_error.missing)
app_file
  field required (type=value_error.missing)
Created symlink /etc/systemd/system/multi-user.target.wants/lambda-demos-error-server.service → /etc/systemd/system/lambda-demos-error-server.service.
Bootstrap failed: misconfigured

### END /home/demo/bootstrap.log

Not a Gradio app

### BEGIN /home/demo/bootstrap.log

Cloning into '/home/demo/source'...
Traceback (most recent call last):
  File "<stdin>", line 17, in <module>
  File "<stdin>", line 15, in load
  File "pydantic/main.py", line 526, in pydantic.main.BaseModel.parse_obj
  File "pydantic/main.py", line 341, in pydantic.main.BaseModel.__init__
pydantic.error_wrappers.ValidationError: 2 validation errors for Metadata
sdk
  unexpected value; permitted: 'gradio' (type=value_error.const; given=docker; permitted=('gradio',))
sdk_version
  field required (type=value_error.missing)
Created symlink /etc/systemd/system/multi-user.target.wants/lambda-demos-error-server.service → /etc/systemd/system/lambda-demos-error-server.service.
Bootstrap failed: misconfigured

### END /home/demo/bootstrap.log