“`html

Build an AI-Powered Content Generator with GPT-4 and Streamlit – A Step-by-Step Tutorial

1. Setting Up Your Development Environment

• Install Python 3.10+ and create a virtual environment using venv or conda to isolate dependencies.
• Install required libraries: openai, streamlit, python-dotenv, and tiktoken via pip.
• Set up a .env file to securely store your OpenAI API key and load it with python-dotenv.

2. Integrating the OpenAI API

• Create a helper function that initializes the OpenAI client and sends a chat completion request with a system and user message.
• Handle API errors gracefully (e.g., rate limits, invalid keys) using try/except blocks and retry logic.
• Configure parameters like model, temperature, and max_tokens to control output creativity and length.

3. Designing the Prompt Template

• Define a system prompt that sets the AI’s role (e.g., “You are a professional copywriter”) and output format (e.g., markdown, bullet points).
• Build a user prompt template with placeholders for dynamic inputs like topic, tone, and target audience.
• Test prompt variations to ensure consistent, high-quality outputs before integrating into the app.

4. Building the Streamlit Interface

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.