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Build Your First AI Chatbot in 30 Minutes: A Step-by-Step Tutorial

1. Setting Up Your Development Environment

• Install Python 3.8+ and verify with python --version in your terminal.
• Create a virtual environment to isolate dependencies: python -m venv chatbot-env.
• Install required packages: pip install openai python-dotenv.

2. Getting Your OpenAI API Key

• Sign up at platform.openai.com and navigate to the API keys section.
• Create a new secret key and copy it immediately (you won’t see it again).
• Store the key in a .env file: OPENAI_API_KEY=your-key-here.

3. Writing the Core Chatbot Logic

• Load the API key using dotenv and initialize the OpenAI client.
• Define a function that sends a user message to the gpt-3.5-turbo model and returns the response.
• Handle errors gracefully (e.g., rate limits, invalid keys) with try-except blocks.

4. Adding Conversation Memory

• Maintain a list of messages (system prompt + user/assistant turns) to provide context.
• Append each new user input and the model’s reply to the list before the next call.
• Set a maximum token limit to prevent the conversation from exceeding the model’s context window.

5. Creating a Simple User Interface

• Build a command-line loop that prompts the user for input and prints the chatbot’s reply.
• Add a quit command (e.g., “exit” or “bye”) to break the loop cleanly.
• Optionally, use the rich library to colorize and format the output for better readability.

6. Testing and Debugging

• Run the script and test with simple questions, edge cases (empty input), and long conversations.

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