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Step-by-Step Guide to Building a Simple Chat Application with GPT-4o-mini API

This guide explains how to create a simple chat application using the OpenAI API and Flask, a Python web framework. You'll learn to set up your development environment, integrate the OpenAI API for generating responses, and build a web interface for user interaction.

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Published onJuly 22, 2024
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Step-by-Step Guide to Building a Simple Chat Application with GPT-4o-mini API

This guide explains how to create a simple chat application using the OpenAI API and Flask, a Python web framework. You'll learn to set up your development environment, integrate the OpenAI API for generating responses, and build a web interface for user interaction.

Prerequisites

  • Basic knowledge of Python
  • OpenAI API Key (available from OpenAI's website)
  • Flask (Python web framework)
  • HTML/CSS knowledge for the frontend

Step 1: Set Up Your Development Environment

  1. Install Python if it is not already installed. Download it from python.org.

  2. Set up a virtual environment:

    Sh
  3. Install necessary libraries:

    Sh

Step 2: Create the Flask App

  1. Create a directory for the project:

    Sh
  2. Create a Python file (app.py) for the Flask app:

    Python

Step 3: Create the HTML Template

  1. Create a templates directory and an index.html file inside it:
    Html

Step 4: Run the App

  1. Run your Flask app:

    Sh
  2. Open your browser and go to http://127.0.0.1:5000/. You will see a chat interface for user text input and AI responses.

You have successfully built a basic chat application using the OpenAI API with Flask. This app allows users to interact with the AI model, providing a foundation for developing more advanced applications.

(Edited on September 4, 2024)

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