harsh4870 / Gemini-2.0-in-Vertex-AI

Gemini-2.0-in-Vertex-AI

Enabling the API on Google Cloud Platform (GCP)

1. Go to the Google Cloud Console: Navigate to console.cloud.google.com.
2. Select or Create a Project: Choose the project where you want to enable the API. If you don't have one, create a new project.
3. Navigate to the API Library: In the navigation menu, go to "APIs & Services" -> "Library".
4. Search for the API: Search for the specific API your project requires ("Vertex AI API").
5. Select the API: Click on the API you want to enable.
6. Enable the API: Click the "Enable" button.
7. Create Service Account (if needed): If your code needs to authenticate, create a service account and download its JSON key file. Go to "APIs & Services" -> "Credentials" -> "Create Credentials" -> "Service account".
8. Go to service account section

- Create service account - Add the name - Selected the newly created service account - Go to keys section and choose add new key, download JSON file, save this JSON file we will use this further - Next, Go to IAM section - Select Grant access - Add the name of newly created Service account, also assing the roles to it ("Vertex AI Administrator", "Vertex AI Custom Code Service Agent", "Vertex AI Service Agent", "Vertex AI User")

9. Grant Service Account Permissions: Grant the service account the necessary permissions to use the API.

Python 3.13 Installation and Setup

Windows

1. Download Python 3.13: Go to the official Python website (python.org) and download the Windows installer for Python 3.13.
2. Run the Installer: Execute the downloaded installer.
3. Check "Add Python 3.13 to PATH": Ensure that the "Add Python 3.13 to PATH" checkbox is selected during installation. This is crucial for running Python from the command line.
4. Complete the Installation: Follow the on-screen instructions to complete the installation.

Linux (Ubuntu/Debian)

1. Update Package List: Open a terminal and run:

   sudo apt update

2. Install Dependencies: Install necessary dependencies:

   sudo apt install software-properties-common

3. Add deadsnakes PPA: add the deadsnakes PPA to your system.

   sudo add-apt-repository ppa:deadsnakes/ppa

4. Update Package List Again:

   sudo apt update

5. Install Python 3.13:

   sudo apt install python3.13

macOS

1. Download Python 3.13: Go to the official Python website (python.org) and download the macOS installer for Python 3.13.
2. Run the Installer: Execute the downloaded installer.
3. Follow the Instructions: Follow the on-screen instructions to complete the installation.

Setting Environment Variables

Linux/macOS

1. Open Terminal: Open a terminal window. ```

2. Add GCP Service Account Key (Optional): If you're using a GCP service account from above step, rename your service account JSON file with name creds.json and put it inside this repo folder at root level:

3. set necessary environment variables

   export CRED_PATH="./creds.json"
   export PROJECT_ID="[add-your-project-id]"

Running the Python Code

1. Clone the repo and enable the virtual environment

   git clone https://github.com/harsh4870/Gemini-2.0-in-Vertex-AI.git
   source venv/bin/activate

2. Moment of truth

   python3 01-main.py