80 lines
3.1 KiB
YAML
80 lines
3.1 KiB
YAML
title: Deploy Langflow on Google Cloud Platform
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duration: 45m
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author: Your Name
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environment:
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cwd: working_dir
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repo:
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url: https://github.com/genome21/langflow
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working_dir: scripts
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steps:
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- title: Introduction
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content: |
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In this tutorial, you will learn how to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell.
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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).
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- title: Set up your environment
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content: |
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Before you start, make sure you have the following prerequisites:
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- A GCP account with the necessary permissions to create resources
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- A project on GCP where you want to deploy Langflow
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<walkthrough-project-setup></walkthrough-project-setup>
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In the next step, you'll clone the Langflow repository and navigate to the `scripts` directory.
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- title: Clone the repository and navigate to the scripts directory
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content: |
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Run the following commands to clone the Langflow repository and navigate to the `scripts` directory:
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```
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git clone https://github.com/genome21/langflow
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cd langflow/scripts
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```
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In the next step, you'll configure the GCP environment and deploy Langflow.
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- title: Configure the GCP environment and deploy Langflow
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content: |
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Run the `deploy_langflow_gcp.sh` script to configure the GCP environment and deploy Langflow:
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```
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./deploy_langflow_gcp.sh
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```
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The script will:
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1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed
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2. Create a startup script to install Python, Langflow, and Nginx
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3. Create a Compute Engine VM instance with the specified configuration and startup script
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4. Configure Nginx to serve Langflow on TCP port 8080
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In the next step, you'll learn how to connect to the Langflow VM.
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- title: Connect to the Langflow VM
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content: |
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To connect to your new Langflow VM, follow these steps:
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1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page
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2. Click on the external IP for your VM
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3. Add port 8080 (assuming your VM external IP is 192.168.0.1):
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http://192.168.0.1:8080
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4. You will be greeted by the Langflow Dev environment
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Congratulations! You have successfully deployed Langflow on Google Cloud Platform.
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- title: Cleanup
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content: |
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If you want to remove the resources created during this tutorial, you can use the following commands:
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```
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gcloud compute instances delete langflow-dev --zone us-central1-a --quiet
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gcloud compute routers nats delete nat-gateway --router nat-client --region us-central1 --quiet
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gcloud compute routers delete nat-client --region us-central1 --quiet
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gcloud compute firewall-rules delete allow-tcp-8080 --quiet
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gcloud compute firewall-rules delete allow-iap --quiet
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gcloud compute networks subnets delete default --region us-central1 --quiet
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gcloud compute networks delete default --quiet
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``
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