ai_foundary_examples

Overview

This project demonstrates examples for using Azure AI Foundry (previously known as Azure AI Studio). It includes various models and their deployment processes.

Prerequisites

1. Azure AI Foundry Project: Create a new project in Azure AI Foundry.
2. Deploy Models: Deploy the necessary models to the project.
3. Connection String: From the overview page of the project, obtain the connection string and add it to the .env file in the root directory of this project.

Setup Instructions

1. Clone the Repository:

   git clone <repository-url>
   cd ai_foundary_examples

2. Create a Python Virtual Environment:

   py -3 -m venv .venv
   .venv\scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Run the Project:

   • Open the project in Visual Studio.
   • Run the azure cli command to login to azure and get authenticated with the project

   az login --use-device-code

   • Press F5 to run the project.

Notes

• Ensure that the .env file contains the correct connection string from your Azure AI Foundry project.
• The requirements.txt file includes all necessary dependencies for the project.

Troubleshooting

• If you encounter any issues, verify that the connection string in the .env file is correct.
• Ensure that all dependencies are installed correctly by checking the output of the pip install command.