Leveraging OpenAI Vision API to Create Websites from Images

Introduction: In today’s digital age, visual content plays a significant role in capturing users’ attention. With the advent of AI technologies, it’s now possible to extract valuable insights from images and use them to create engaging websites. In this tutorial, we’ll explore how to harness the power of OpenAI’s Vision API to analyze images, identify their contents, and generate HTML and CSS code to replicate the image’s design on a website.

Step 1: Setting Up the Environment: Before we dive into the code, make sure you have the necessary tools installed. We’ll be using Streamlit for building the user interface and the OpenAI Python SDK to interact with the Vision API. You can install these dependencies using pip:

pip install streamlit openai

Step 2: Creating the User Interface: We’ll use Streamlit to create a simple web application that allows users to upload an image and analyze it. Here’s a snippet of the code:

import streamlit as st
import base64
from openai import OpenAI
import os

st.title("WebSite Builder")

os.environ['OPENAI_API_KEY']='sk-your key'

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),
)

upload_file = st.file_uploader("Upload a file", type=["png", "jpg", "jpeg"])

if upload_file:
    with st.expander("Image", expanded=True):
        st.image(upload_file,caption="Uploaded Image")

analyze_button = st.button("Analyze", type="primary")