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Build Your First AI-Powered Chatbot: A Step-by-Step Tutorial

1. Setting Up Your Development Environment

• Install Python 3.9+ and create a virtual environment to isolate dependencies.
• Use pip to install required libraries: openai, python-dotenv, and optionally flask for the web interface.
• Set up a .env file to securely store your API key and other configuration variables.

2. Getting Your OpenAI API Key

• Sign up or log in to the OpenAI platform and navigate to the API keys section.
• Create 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.

3. Writing the Core Chatbot Logic

• Import the openai library and load your API key from the environment.
• Define a function that sends a user message to the Chat Completion endpoint (e.g., gpt-3.5-turbo) and returns the assistant’s reply.
• Implement a simple command-line loop that takes user input, calls the function, and prints the response.

4. Adding Memory and Context

• Maintain a conversation history list that stores both user and assistant messages as dictionaries.
• Pass the entire history to the messages parameter so the model remembers previous turns.
• Limit the history length (e.g., last 10 exchanges) to stay within token limits and reduce costs.

5. Creating a Simple Web Interface (Optional)

• Use Flask to create a single-page app
  

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  Written byTheo Grant

  Theo Grant explores real-world AI applications, automation workflows, and hands-on tutorials at AI In Action Hub. Theo breaks down complex AI concepts into practical guides that help professionals and creators leverage AI in their daily work.