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 styles */ | |
| @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap'); | |
| body { | |
| font-family: 'Inter', sans-serif; | |
| scroll-behavior: smooth; | |
| } | |
| /* Custom animations */ | |
| @keyframes fadeIn { | |
| from { opacity: 0; transform: translateY(20px); } | |
| to { opacity: 1; transform: translateY(0); } | |
| } | |
| .animate-fade-in { | |
| animation: fadeIn 0.8s ease-out forwards; | |
| } | |
| /* Tooltip styles */ | |
| .tooltip { | |
| position: relative; | |
| display: inline-block; | |
| } | |
| .tooltip .tooltiptext { | |
| visibility: hidden; | |
| width: 200px; | |
| background-color: #111827; | |
| color: #fff; | |
| text-align: center; | |
| border-radius: 6px; | |
| padding: 8px; | |
| position: absolute; | |
| z-index: 1; | |
| bottom: 125%; | |
| left: 50%; | |
| transform: translateX(-50%); | |
| opacity: 0; | |
| transition: opacity 0.3s; | |
| } | |
| .tooltip:hover .tooltiptext { | |
| visibility: visible; | |
| opacity: 1; | |
| } |