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Genai Apptemplates Googlecloud

Genai Apptemplates Googlecloud is a public, Apache-2.0-licensed repository of sample application templates for building generative AI projects on Google Cloud with Vertex AI PaLM models. Its examples cover chat interfaces, model APIs, document and text summarization, and other integrations using frameworks and services such as Flask, Gradio, Streamlit, Cloud Run and Cloud Functions.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Genai Apptemplates Googlecloud — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a code-level starting point and deployment guidance for a specific Vertex AI PaLM application pattern on Google Cloud; select the individual sample that matches your interface, API or workflow.

Who it is for

  • Developers building Google Cloud applications that call Vertex AI PaLM models.
  • Teams evaluating framework-specific starting points for chat interfaces or model-backed APIs.
  • Developers adapting sample summarization integrations for files, Slack or Google Docs.

Documented uses

  • Start a Vertex AI PaLM chat application using Flask, Gradio or Streamlit.
  • Expose PaLM text, chat or code models to client applications through sample APIs.
  • Build examples for summarizing uploaded files, Slack text or Google Docs content.
  • Import a selected sample project into VS Code through Cloud Code.
Before you choose

Requirements & limits

The code repository is public and lists an Apache-2.0 license. The README instructs users to configure Cloud Shell and follow SETUP.md before running samples.

  • Templates differ in framework, language and Google Cloud services; inspect the chosen sample's own documentation.
  • The README requires environment setup before running a sample and points to project-specific deployment instructions.
  • The repository includes application templates, while Cloud Code for VS Code is an optional import workflow.
  • An optional Apigee guide addresses API access management as a separate concern from the application templates.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Import a sample into Cloud Code for VS Code

Import one repository application template into a configured VS Code and Cloud Code environment.

Before you start

  • Visual Studio Code with the Cloud Code plugin set up.
  • The repository URL: https://github.com/rominirani/genai-apptemplates-googlecloud.

Steps

  1. Click Cloud Code in the VS Code status bar.

  2. Choose New Application, then Custom Application.

  3. When prompted for a Git repository URL, enter the repository URL.

  4. Select a project from the listed applications and complete the remaining import steps.

Expected outcome

The selected project is imported into Visual Studio Code as a custom application.

Guide limitations

  • The documented steps cover importing a project; they do not describe running or deploying it.
  • The individual application documentation and SETUP.md provide further setup and deployment instructions.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
18 October 2026
Original website title
rominirani/genai-apptemplates-googlecloud · Official homepage title · retained in its source language
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