It will ask you to enable the API’s if they are not enabled already for your account. Please click on enable as shown in the screenshot.
It will take you to the agreement page. On this page, you can change the project from the project selector on top navigator bar as shown in the below screenshot.
Accept the Terms and agreements by ticking the checkbox and clicking on the AGREE button.
It will show you the successfully agreed popup page. Click on Deploy.
On deployment page, give a name to your deployment.
In Deployment Service Account section, click on Existing radio button and Choose a service account from the Select a Service Account dropdown.
If you don't see any service account in dropdown, then change the radio button to New Account and create the new service account here.
If after selecting New Account option, you get below permission error message then please reach out to your GCP admin to create service account by following Step by step guide to create GCP Service Account and then refresh this deployment page once the service account is created, it should be available in the dropdown.
You are missing resourcemanager.projects.setIamPolicy permission, which is needed to set the required roles on the created Service Account
Select a zone where you want to launch the VM(such as us-east1-a)
Optionally change the number of cores and amount of memory. ( This defaults to 2 vCPUs and 7.5 GB ram)
Optionally change the boot disk type and size. (This defaults to ‘Standard Persistent Disk’ and 15 GB respectively)
Optionally change the network name and subnetwork names. Be sure that whichever network you specify has ports 22 (for ssh), 3389 (for RDP) , 80 (for HTTP) and 443 (for HTTPS) exposed.
Click Deploy when you are done.
AI App Development using LangChain & LangFlow will begin deploying.
A summary page displays when the compute engine is successfully deployed. Click on the Instance link to go to the instance page .
On the instance page, click on the “SSH” button, select “Open in browser window”.
This will open SSH window in a browser.
Run below command to set the password for “ubuntu” user
sudo passwd ubuntu
Now the password for ubuntu user is set, you can connect to the VM’s desktop environment from any local windows machine using RDP or linux machine using Remmina.
To connect using RDP via Windows machine, first note the external IP of the VM from VM details page as highlighted below
Then From your local windows machine, goto “start” menu, in the search box type and select “Remote desktop connection”
In the “Remote Desktop connection” wizard, paste the external ip and click connect
This will connect you to the VM’s desktop environment. Provide “ubuntu” as the userid and the password set in step 6 to authenticate. Click OK
Now you are connected to out of box AI App Development using LangChain & LangFlow environment via Windows machines.
To connect using RDP via Linux machine, first note the external IP of the VM from VM details page,then from your local Linux machine, goto menu, in the search box type and select “Remmina”.
Note: If you don’t have Remmina installed on your Linux machine, firstInstall Remmina as per your linux distribution.
In the “Remmina Remote Desktop Client” wizard, select the RDP option from dropdown and paste the external ip and click enter.
This will connect you to the VM’s desktop environment. Provide “ubuntu” as the userid and the password set in step 6 to authenticate. Click OK
Now you are connected to out of box AI App Development using LangChain & LangFlow environment via Linux machine.
To access the Langflow User interface, open the terminal and run below command to create LangFlow superuser and provide the username and password for super user. This will be used for logging in to langflow.
sudo langflow superuser
Once Superuser is created, open https://vm-public-ip in your local browser, accept the SSL warning by clicking advanced and login using the superuser credentials used in above step.
Now you are logged in to LangFlow user interface using superuser.
On the home page, click on key icon at the top right to generate the new API keys.
On this page, click on “Create new secret key”.
A pop up will appear, provide a name to your secret key and hit “Create secret key”
It will generate a secret key for you. Make sure to copy and save it somewhere.
You can also create new user and make them active/superuser from this UI. To do so click on the circle icon at the top right of this page and select Admin page.
On Admin Page, click on New User. A pop up will appear, enter the details of the new user. You can also make it active or superuser from this page.
New user can also signup on their own by clicking on “Signup link” on login page. Provide the details on this page and it will create new user but admin/superuser has to activate the newly created user.
To activate the new user, Login with superuser, go to Admin page and check the activate checkbox or superuser checkbox if you want to make this user as superuser. Click confirm on the Confirmation popup.
Now your new user is active. You can login and use LangFlow UI with this user.
