Paso 1: Configura tu proyecto y el repositorio de origen

En este paso, configurarás tu Google Cloud proyecto y el entorno de Python en Cloud Shell, habilitarás las APIs necesarias y asignarás los roles de Identity and Access Management (IAM) que necesitas para completar el instructivo. También configurarás un repositorio de GitHub que contiene los archivos de origen de la app mediante la bifurcación y clonación del GoogleCloudPlatform/generative-ai repositorio. Después de completar estos pasos, verifica la configuración mediante la ejecución y prueba de la app en Cloud Shell de forma local.

Antes de comenzar

Accede a tu Google Cloud cuenta de. Si eres nuevo en Google Cloud, crea una cuenta para evaluar el rendimiento de nuestros productos en situaciones reales. Los clientes nuevos también obtienen $300 en créditos gratuitos para ejecutar, probar y, además, implementar cargas de trabajo.
In the Google Cloud console, on the project selector page, select or create a Google Cloud project.
Roles required to select or create a project
• Select a project: Selecting a project doesn't require a specific IAM role—you can select any project that you've been granted a role on.
• Create a project: To create a project, you need the Project Creator role (roles/resourcemanager.projectCreator), which contains the resourcemanager.projects.create permission. Learn how to grant roles.
Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.
Go to project selector
Verify that billing is enabled for your Google Cloud project.
Enable the Vertex AI, Compute Engine, Artifact Registry, Identity-Aware Proxy (IAP), Cloud Run Admin, Cloud Build, Identity and Access Management (IAM) API, and Gemini for Google Cloud APIs.
Roles required to enable APIs
To enable APIs, you need the Service Usage Admin IAM role (roles/serviceusage.serviceUsageAdmin), which contains the serviceusage.services.enable permission. Learn how to grant roles.
Enable the APIs
Make sure that you have the following role or roles on the project: Vertex AI User, Cloud Build Editor, Cloud Run Admin, Artifact Registry Admin, Compute Load Balancer Admin, Service Account User, IAP Policy Admin, OAuth Config Editor, and Service Usage Admin.
Check for the roles
1. In the Google Cloud console, go to the IAM page.

   Go to IAM
2. Select the project.

3. In the Principal column, find all rows that identify you or a group that you're included in. To learn which groups you're included in, contact your administrator.

4. For all rows that specify or include you, check the Role column to see whether the list of roles includes the required roles.
Grant the roles
1. In the Google Cloud console, go to the IAM page.

   Go to IAM
2. Select the project.
3. Click Grant access.

4. In the New principals field, enter your user identifier. This is typically the email address for a Google Account.

5. Click Select a role, then search for the role.
6. To grant additional roles, click Add another role and add each additional role.
7. Click Save.

In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

Roles required to select or create a project

• Select a project: Selecting a project doesn't require a specific IAM role—you can select any project that you've been granted a role on.
• Create a project: To create a project, you need the Project Creator role (roles/resourcemanager.projectCreator), which contains the resourcemanager.projects.create permission. Learn how to grant roles.

Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

Go to project selector

Verify that billing is enabled for your Google Cloud project.

Enable the Vertex AI, Compute Engine, Artifact Registry, Identity-Aware Proxy (IAP), Cloud Run Admin, Cloud Build, Identity and Access Management (IAM) API, and Gemini for Google Cloud APIs.

Roles required to enable APIs

To enable APIs, you need the Service Usage Admin IAM role (roles/serviceusage.serviceUsageAdmin), which contains the serviceusage.services.enable permission. Learn how to grant roles.

Enable the APIs

Make sure that you have the following role or roles on the project: Vertex AI User, Cloud Build Editor, Cloud Run Admin, Artifact Registry Admin, Compute Load Balancer Admin, Service Account User, IAP Policy Admin, OAuth Config Editor, and Service Usage Admin.

Check for the roles

1. In the Google Cloud console, go to the IAM page.

   Go to IAM
2. Select the project.

3. In the Principal column, find all rows that identify you or a group that you're included in. To learn which groups you're included in, contact your administrator.

4. For all rows that specify or include you, check the Role column to see whether the list of roles includes the required roles.

Grant the roles

1. In the Google Cloud console, go to the IAM page.

   Go to IAM
2. Select the project.
3. Click Grant access.

4. In the New principals field, enter your user identifier. This is typically the email address for a Google Account.

5. Click Select a role, then search for the role.
6. To grant additional roles, click Add another role and add each additional role.
7. Click Save.

Configura el repositorio de origen

1. En GitHub, bifurca el repositorio GoogleCloudPlatform/generative-ai. Obtén más información para bifurcar repositorios en GitHub.

   Bifurca el repositorio en GitHub

2. En la Google Cloud consola, activa Cloud Shell.

   Activa Cloud Shell

   En la parte inferior de la Google Cloud consola, se inicia una sesión de Cloud Shell en la que se muestra una ventana de línea de comandos. Cloud Shell es un entorno de shell con Google Cloud CLI ya instalada y con valores ya establecidos para el proyecto actual. La sesión puede tardar unos segundos en inicializarse.

3. En la terminal de Cloud Shell, ejecuta los siguientes comandos para clonar el repositorio bifurcado y establecer el gemini-streamlit-cloudrun directorio como el directorio activo:
   

   cd
   git clone https://github.com/GIT_USER_NAME/FORK_NAME/
   cd FORK_NAME/gemini/sample-apps/gemini-streamlit-cloudrun

   Reemplaza lo siguiente:

   • GIT_USER_NAME: Tu nombre de usuario de GitHub
   • FORK_NAME: El nombre del repositorio de bifurcación que acabas de crear en GitHub.

Configura el entorno y las dependencias

1. En la terminal de Cloud Shell, ejecuta los siguientes comandos para configurar un entorno virtual:

   python3 -m venv gemini-streamlit
   source gemini-streamlit/bin/activate
   pip install -r requirements.txt
   

2. Ejecuta los siguientes comandos para configurar las variables de entorno necesarias para la inicialización de Vertex AI:

   export GCP_PROJECT=$GOOGLE_CLOUD_PROJECT
   export GCP_REGION='us-central1' 
   

Prueba la app de manera local

1. En la terminal de Cloud Shell, ejecuta la app con el siguiente comando:

   streamlit run app.py \
     --browser.serverAddress=localhost \
     --server.enableCORS=false \
     --server.enableXsrfProtection=false \
     --server.port 8080
   

2. Para obtener una vista previa de la app, en la barra de tareas de Cloud Shell, haz clic en y, luego, en Vista previa en el puerto 8080.

   Para obtener más información sobre cómo usar la función de versión preliminar en la Web, consulta Cómo obtener una vista previa de las apps web.