Create a Python code template using Hugging Face Transformers and scikit-learn to build a generative AI model that produces marketing content (e.g., email campaigns or social media posts) for e-commerce businesses. Integrate a predictive component that analyzes user data (e.g., purchase history CSV) to forecast customer preferences and tailor the generated text accordingly. Include fine-tuning on a dataset like GPT-2 or Llama, with evaluation metrics for coherence and accuracy. Make it automation-ready for freelancers charging premium rates, with examples for handling surged demand in personalized experiences. Output the full code, explanations, and sample usage.
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| // Shared functionality | |
| document.addEventListener('DOMContentLoaded', () => { | |
| // Scroll animations | |
| const animateOnScroll = () => { | |
| const elements = document.querySelectorAll('.scroll-animate'); | |
| elements.forEach(el => { | |
| const elTop = el.getBoundingClientRect().top; | |
| const isVisible = (elTop - window.innerHeight) < -100; | |
| if (isVisible && !el.classList.contains('animate-fade-in')) { | |
| el.classList.add('animate-fade-in'); | |
| } | |
| }); | |
| }; | |
| window.addEventListener('scroll', animateOnScroll); | |
| animateOnScroll(); // Run once on load | |
| // Theme switcher | |
| const themeToggle = document.getElementById('theme-toggle'); | |
| if (themeToggle) { | |
| themeToggle.addEventListener('click', () => { | |
| document.documentElement.classList.toggle('dark'); | |
| localStorage.setItem('theme', document.documentElement.classList.contains('dark') ? 'dark' : 'light'); | |
| }); | |
| } | |
| }); | |
| // API Client | |
| class AIForgeAPI { | |
| constructor() { | |
| this.baseUrl = 'https://api.aiforge.com/v1'; | |
| } | |
| async getTemplates(category) { | |
| const response = await fetch(`${this.baseUrl}/templates?category=${category}`); | |
| return response.json(); | |
| } | |
| async createProject(config) { | |
| const response = await fetch(`${this.baseUrl}/projects`, { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| 'Authorization': `Bearer ${localStorage.getItem('token')}` | |
| }, | |
| body: JSON.stringify(config) | |
| }); | |
| return response.json(); | |
| } | |
| } |