Building Machine Learning demos with Python
summary
Shows how to turn a trained model into a shareable demo using ~15 lines of Python with Gradio or Streamlit, deployable to Hugging Face Spaces (free, git-based hosting) so links persist beyond Gradio’s default 72 hours. Demonstrations include English→Spanish translation via transformers pipeline, text→image generation, and a chained pipeline (translate→GPT2 story→translate) using models from a hub of ~17,000 models (≈1,300 from Helsinki, ~400 Spanish). Inference API speeds up slow models and comes with a generous free tier.
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