{"schema_version":"onlylabs.public_signal.v1","title":"Scaleway Writing: How to make a demo of your machine learning model with gradio","description":"Scaleway writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/8140e9d0-99fd-404f-ba16-7b397680eab5","json_url":"https://onlylabs.fyi/signals/8140e9d0-99fd-404f-ba16-7b397680eab5/signal.json","generated_at":"2026-06-07T21:17:19.959956+00:00","org":{"slug":"scaleway","name":"Scaleway","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/scaleway","dossier_json_url":"https://onlylabs.fyi/labs/scaleway/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/8140e9d0-99fd-404f-ba16-7b397680eab5","signal_json":"https://onlylabs.fyi/signals/8140e9d0-99fd-404f-ba16-7b397680eab5/signal.json","source":"https://www.scaleway.com/en/blog/how-to-make-a-demo-of-your-machine-learning-model-with-gradio/","lab_dossier":"https://onlylabs.fyi/labs/scaleway","lab_dossier_json":"https://onlylabs.fyi/labs/scaleway/dossier.json","analysis":"https://onlylabs.fyi/analysis/scaleway","analysis_json":"https://onlylabs.fyi/analysis/scaleway/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/scaleway/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Scaleway published How to make a demo of your machine learning model with gradio. 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Point is, you don’t have, nor do you need, a production-ready setup, and your trusted Jupyter notebook will do just fine at this point. So, what do you do? Loading the trained model The first thing you’ll need is, of course, the model itself. There are different ways to save a trained model, depending on its nature, as well as the machine learning framework that you use. This part of the job is relatively straightforward to figure out (here are the instructions in PyTorch and TensorFlow . 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