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Creating a Virtual Environment Reference Article: https://techcommunity.microsoft.com/blog/startupsatmicrosoftblog/migrating-from-openai-to-azure-openai/3989463 Step 1 - Create a Local Folder in your computer for the new project Alternative Step 1 is to clone from the github template if one exists with all reusable resources applicable to the target project. Step 2 - Target Python environment Create a stable and predictable controled environment for your python project as it will save a lot of time down the road. In the VS Code, open a new terminal inside the project folder: Try to run a local command in python using the default environment: <python print('Hello World'!)> Now, as python is working on the terminal, let's create a python virtual environment specific to your environment <python -m venv .venv> ## Windows, it creates a virtual environment called ".venv" in the project folder or, <python3 -m venv .venv> ## Linux/macOS Now let's activate the python virtual environment. <.venv\Scripts\activate> ## Windows <source .venv/bin/activate> ## Linux / macOS Step 3 - Install Project Libraries <pip install -r requirements.txt> ###### If you want to upload this project to your personal github as a new repository, starting from your local machine: 1) Create a New Repository on GitHub: Go to GitHub and create a new repository. Do not initialize it with a README, .gitignore, or license. 2) Open Your Terminal: 3) Navigate to your local project directory. 4) Initialize the Local Directory as a Git Repository: git init 5) Add the Files to Your New Local Repository: git add . 6) Commit the Files: git commit -m "Initial commit" 7) Select the desired brand to upload the file, e.g. Main git branch -M main 9) Add the Remote Repository: Copy the .git repo URL of your new GitHub repository. git remote add origin <URL> 1) Push the Changes to GitHub: git push -u origin master
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How to start with Azure OpenAI in Python for beginners
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