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How to Build an AI-Powered Content Generator with GPT-4: A Step-by-Step Tutorial

1. Setting Up Your Development Environment

• Install Python 3.10+ and create a virtual environment to isolate dependencies.
• Install required libraries: openai, python-dotenv, and requests via pip.
• Set up a project folder and a .env file to securely store your API key.

2. Getting Your OpenAI API Key

• Create an OpenAI account and navigate to the API keys section in your dashboard.
• Generate a new secret key and copy it immediately — you won’t be able to see it again.
• Add the key to your .env file as OPENAI_API_KEY=your_key_here and load it with python-dotenv.

3. Writing the Python Script to Call GPT-4

• Import the openai library and configure the API key from environment variables.
• Define a function that sends a prompt to the gpt-4 model and returns the generated text.
• Handle the response object and extract the content from choices[0].message.content.

4. Customizing the Prompt for Different Content Types

• Use system messages to set the assistant’s role (e.g., “You are a blog writer” or “You are a product description writer”).

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