“`html

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

1. Setting Up Your Development Environment

• Install Python 3.8+ and create a virtual environment to isolate dependencies.
• Use pip to install the OpenAI library, Flask, and python-dotenv.
• Verify the installation by running a simple Python script that imports the libraries.

2. Getting Your OpenAI API Key

• Sign up for an OpenAI account and navigate to the API keys section.
• Generate a new secret key and store it securely in a .env file.
• Load the key using python-dotenv and test authentication with a minimal API call.

3. Writing the Core Chatbot Logic

• Define a function that sends a user message to the GPT model and returns the assistant’s reply.
• Handle API errors gracefully (e.g., rate limits, invalid keys) with try-except blocks.
• Implement a simple command-line loop to interact with the chatbot in real time.

4. Adding Memory for Contextual Conversations

• Store conversation history in a list of message objects (system, user, assistant).
• Append each new exchange to the list and pass the entire context to the API.
• Set a maximum token limit to avoid exceeding context windows and truncate old messages.

5. Deploying Your Chatbot with a Simple Web Interface

• Create a Flask app with a single route that serves an HTML chat form.
• Use AJAX to send user messages to the backend and display responses without page reloads.
• Style the interface minimally with inline CSS for a clean, functional look.

6. Testing and Iterating on Your Chatbot

• Run the Flask app
  

  AI Automation Playbook

  Step-by-step workflows for automating content, email, social media, and research with AI agents.

  Get Free Access