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| # Deploy Langflow on Google Cloud Platform | |
| **Duration**: 45 minutes | |
| **Author**: [Robert Wilkins III](https://www.linkedin.com/in/robertwilkinsiii) | |
| ## Introduction | |
| In this tutorial, you will learn how to deploy Langflow on [Google Cloud Platform](https://cloud.google.com/) (GCP) using Google Cloud Shell. | |
| This tutorial assumes you have a GCP account and basic knowledge of Google Cloud Shell. If you're not familiar with Cloud Shell, you can review the [Cloud Shell documentation](https://cloud.google.com/shell/docs). | |
| ## Set up your environment | |
| Before you start, make sure you have the following prerequisites: | |
| - A GCP account with the necessary permissions to create resources | |
| - A project on GCP where you want to deploy Langflow | |
| [**Select your GCP project**]<walkthrough-project-setup | |
| billing="true" | |
| apis="compute.googleapis.com,container.googleapis.com"> | |
| </walkthrough-project-setup> | |
| In the next step, you'll configure the GCP environment and deploy Langflow. | |
| ## Configure the GCP environment and deploy Langflow | |
| Run the deploy_langflow_gcp.sh script to configure the GCP environment and deploy Langflow: | |
| ```sh | |
| gcloud config set project <walkthrough-project-id/> | |
| bash ./deploy_langflow_gcp.sh | |
| ``` | |
| The script will: | |
| 1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed | |
| 2. Create a startup script to install Python, Langflow, and Nginx | |
| 3. Create a Compute Engine VM instance with the specified configuration and startup script | |
| 4. Run Langflow to serve content on TCP port 7860 | |
| <walkthrough-pin-section-icon></walkthrough-pin-section-icon> | |
| > The process may take approximately 30 minutes to complete. Rest assured that progress is being made, and you'll be able to proceed once the process is finished. | |
| In the next step, you'll learn how to connect to the Langflow VM. | |
| ## Connect to the Langflow VM | |
| To connect to your new Langflow VM, follow these steps: | |
| 1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page and click on the external IP for your VM. Make sure to use HTTP and set the port to 7860 | |
| <br>**or** | |
| 3. Run the following command to display the URL for your Langflow environment: | |
| ```bash | |
| export LANGFLOW_IP=$(gcloud compute instances list --filter="NAME=langflow-dev" --format="value(EXTERNAL_IP)") | |
| echo http://$LANGFLOW_IP:7860 | |
| ``` | |
| 4. Click on the Langflow URL in cloudshell to be greeted by the Langflow Dev environment | |
| Congratulations! You have successfully deployed Langflow on Google Cloud Platform. | |
| <walkthrough-conclusion-trophy></walkthrough-conclusion-trophy> | |
| ## Cleanup | |
| If you want to remove the resources created during this tutorial, you can use the following commands: | |
| ```sql | |
| gcloud compute instances delete langflow-dev --zone us-central1-a --quiet | |
| ``` | |
| The following network settings and services are used during this walkthrough. If you plan to continue using the project after the walkthrough, you may keep these configurations in place. | |
| However, if you decide to remove them after completing the walkthrough, you can use the following gcloud commands: | |
| <walkthrough-pin-section-icon></walkthrough-pin-section-icon> | |
| > These commands will delete the firewall rules and network configurations created during the walkthrough. Make sure to run them only if you no longer need these settings. | |
| ``` | |
| gcloud compute firewall-rules delete allow-tcp-7860 --quiet | |
| gcloud compute firewall-rules delete allow-iap --quiet | |
| gcloud compute networks subnets delete default --region us-central1 --quiet | |
| gcloud compute networks delete default --quiet | |
| ``` | |