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Build Your First AI Chatbot in 30 Minutes: A Step-by-Step Tutorial
1. What You’ll Need Before You Start
- Basic knowledge of Python (variables, functions, loops) – no AI experience required.
- A free OpenAI API key (or any LLM provider like Anthropic or Cohere) – we’ll show you how to get one.
- Python 3.8+ installed on your machine and a code editor (VS Code recommended).
2. Setting Up Your Environment
- Create a new project folder and a virtual environment (venv or conda) to keep dependencies isolated.
- Install the required libraries: `openai`, `python-dotenv`, and `rich` for a polished console interface.
- Set up a `.env` file to securely store your API key – never hardcode secrets in your script.
3. Getting and Configuring Your API Key
- Sign up at platform.openai.com, navigate to API keys, and create a new secret key.
- Add the key to your `.env` file as `OPENAI_API_KEY=sk-…` and load it using `python-dotenv`.
- Test the key with a simple cURL or Python call to confirm your account is active and has available credits.
4. Writing the Core Chatbot Logic
- Create a function that sends a user message to the GPT model (e.g., `gpt-3.5-turbo`) and returns the assistant’s reply.
- Implement a conversation loop that keeps track of message history (system prompt + user/assistant turns) for context.
- Add error handling for API timeouts, rate limits, and invalid responses so the chatbot doesn’t crash unexpectedly.
5. Adding a Simple User Interface
- Build a command-line interface (CLI) using `input()` and the `rich` library to display colored messages and typing indicators.
- Include a “/reset” command to clear the conversation history and a “/exit” command to quit gracefully.
- Optionally, add a system
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