fix: LangFlow -> Langflow
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# Deploy on Google Cloud Platform
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## Run LangFlow from a New Google Cloud Project
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## Run Langflow from a New Google Cloud Project
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This guide will help you set up a LangFlow development VM in a Google Cloud Platform project using Google Cloud Shell.
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This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell.
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:::note
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When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
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@ -12,7 +12,7 @@ When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands
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## Standard VM
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[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
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This script sets up a Debian-based VM with the LangFlow package, Nginx, and the necessary configurations to run the LangFlow Dev environment.
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This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment.
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---
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@ -20,7 +20,7 @@ This script sets up a Debian-based VM with the LangFlow package, Nginx, and the
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[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
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When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the LangFlow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts.
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When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts.
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---
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@ -1,6 +1,6 @@
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# Deploy on Jina AI Cloud
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LangFlow integrates with langchain-serve to provide a one-command deployment to [Jina AI Cloud](https://github.com/jina-ai/langchain-serve).
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Langflow integrates with langchain-serve to provide a one-command deployment to [Jina AI Cloud](https://github.com/jina-ai/langchain-serve).
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Start by installing `langchain-serve` with
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@ -51,7 +51,7 @@ langflow --jcloud
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```
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## API Usage (with python)
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You can use LangFlow directly on your browser or the API endpoints on Jina AI Cloud to interact with the server.
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You can use Langflow directly on your browser or the API endpoints on Jina AI Cloud to interact with the server.
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```python
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import requests
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@ -96,6 +96,6 @@ print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
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:::info
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Read more about resource customization, cost, and management of LangFlow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
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Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
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:::
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