After saving our models in Day 83, today we finally make them live for the entire world! Join Anastasia, Sophia, Irene, Ethan, and Olivia as we explore 8 real deployment options you can use today:
00:00Hey, sexy wizards. Anastasia here. After saving our models in day 83, today we finally make them live for the entire planet.
00:08Eight real ways. Streamlit, FastAPI, HuggingFace, Cloud, Mobile.
00:13Sophia's back and ready to ship Ethan's hot models to every phone on Earth.
00:18Deployment is the sexiest day. Everyone gets to touch your AI.
00:21Hello, brilliant wizards. Irene speaking. Today is pure overview gold.
00:31Tomorrow, day 85, we actually build and launch a full multi-model web app together.
00:40Yo, wizards. Ethan dropping spicy deployment code while flirting with Anastasia, Sophia, and Olivia. Let's go global.
00:47Olivia reporting for duty. I'll be Anastasia's sexy assistant asking the questions you're thinking.
00:57Your friends don't want Jupiter. They want a link or an app. Deployment turns Cool Notebook into Wow, That's Magic.
01:05Exactly. It's like turning Ethan from a private crush into everyone's celebrity.
01:09Professionally, this is how real products are built. Train once, serve millions.
01:18Today, we cover every single real option. Streamlit, Free, FastAPI, Flask, HuggingFace Spaces, TensorFlow Serving, Docker Plus Cloud, Mobile, and more.
01:29Tomorrow, we pick one and launch together.
01:31Eight ways to go from zero to hero. By tonight, you'll know exactly which one fits your vibe.
01:36We'll compare speed, cost, and difficulty so you can choose confidently.
01:43Your moderators, Anastasia, me, Sophia, and Irene. Ethan brings the spicy code. Olivia keeps us on track with perfect questions.
01:53We're the deployment dream team ready to make your AI famous.
01:57Together, we'll guide you through every option with warmth and clarity.
02:06Welcome to the real world. These are the eight platforms every AI engineer uses in 2025, from free to enterprise.
02:14It's like a buffet. Pick what matches your appetite.
02:19All of them work perfectly with the .h5 models you saved in day 83.
02:28Streamlit is pure magic. Write app.py, click share, done. Free public link in 30 seconds. Perfect for day 85.
02:35It's literally the fastest way to impress your friends. I deployed my first model in two minutes.
02:42Community Cloud is free forever for public apps.
02:47Fast API is the new king. Async, Autodocs, used by Netflix and Microsoft. Perfect when you outgrow Streamlit.
02:55It's so fast, it makes my heart race, just like Ethan.
02:59Open API Docs generated automatically. Clients love it.
03:05Flask never dies. Simple, flexible, runs everywhere. The perfect teaching tool before Fast API.
03:11It's like the little black dress of web frameworks. Always works.
03:16Great for learning the full stack. Flask, Gunicorn, Nginx.
03:22Hugging face spaces. Wow, GitHub plus free GPU plus one-click deploy. The coolest community in AI.
03:29I deployed my sentiment model there last week. 10 seconds.
03:35Three-tier includes GPU. Perfect for big models.
03:40Google's official production system. Versioned models. Rollback.
03:44It's what powers Google search. Now you can use it, too.
03:53Perfect when you need enterprise reliability.
03:57AWS, GCP, Azure. Pay only for what you use. Autoscale to millions. Global CDN.
04:02Free tiers are generous. You can run a real app for $0.
04:06All support Docker and saved model format from day 83.
04:14TensorFlow Lite converts your model to run on phones. No internet needed.
04:18Imagine your sentiment model inside an Android app instant.
04:22File size drops from 100 megabytes to approximately 2 megabytes.
04:31Demo or portfolio. Streamlit. Production API. Fast API.
04:36Share with world. Hugging face. Enterprise. TF serving. Plus cloud.
04:41Follow this tree and you'll never pick wrong.
04:44We'll use this exact flow chart tomorrow for day 85.
04:49Tomorrow, we combine sentiment, day 82, image classifier, day 80, and saved models, day 83, into one gorgeous web app.
05:03Three models, one beautiful interface, the ultimate portfolio piece.
05:09Everything loads instantly, thanks to day 83 persistence.
05:13Tonight, copy your best models from days 80, 83, into a new folder called My AI App.
05:20Install Streamlit, TensorFlow, Pillow. Tomorrow, we launch together.
05:25Create the folder now. I'll show the exact structure.
05:29We'll use Streamlit plus your saved .h5 files.
05:35Zero retraining.
05:37Our first live demo. Take the sentiment model from day 82, click share, public link in 30 seconds.
05:44I deployed my cat classifier last night, 10 seconds.
05:49Streamlit Community Cloud is free forever for public apps.
05:53Look, one click and your app is public forever. This is exactly what we'll do tomorrow.
05:58I love this button more than coffee. Instant fame.
06:03No server, no config, no credit card. Pure magic.
06:08Push to get right-pointing arrow hugging face builds and hosts for free.
06:12Even gives you a GPU.
06:14I deployed my sentiment model there last week. 10 seconds.
06:18Free tier includes GPU. Perfect for big models.
06:22Fast API is async. Auto generates Swagger Docs. Netflix and Microsoft use it.
06:29It's so fast, it makes my heart race. Just like Ethan.
06:34Open API Docs generated automatically. Clients love it.
06:38Flask is the classic. Simple, flexible, runs everywhere.
06:42It's like the little black dress of web frameworks. Always works.
06:47Great for learning the full stack. Flask, Gunicorn, NGNX.
06:51TensorFlow Serving is Google's production system, version models, rollback, 1000 plus rec, sec.
06:59It's what powers Google Search. Now you can use it too.
07:03Perfect when you need enterprise reliability.
07:07AWS, GCP, Azure, pay only for what you use, auto-scale to millions, global CDN.
07:13Free tiers are generous. You can run a real app for $0.
07:17All support Docker and saved model format from day 83.
07:23TensorFlow Lite converts your model to run on phones. No internet needed.
07:27Imagine your sentiment model inside an Android app. Instant.
07:32File size drops from 100 MMB to Pulse 2 MMBs.
07:36Demo or Portfolio Right-Pointing Arrow Streamlet.
07:39Production API Right-Pointing Arrow Fast API.
07:42Share with World Right-Pointing Arrow Hugging Face.
07:45Enterprise Right-Pointing Arrow TF Serving Plus Cloud.
07:49Follow this tree and you'll never pick wrong.
07:53We'll use this exact flowchart tomorrow for day 85.
07:57Never hardcode API keys. Use Streamlet Secrets.
08:01It's like a safe for your passwords. Super secure.
08:03Perfect for hugging face tokens, open AI keys, etc.
08:09Our second demo tomorrow.
08:11One app with sentiment, image classification, and instant loading from day 83 saved models.
08:17Three models, one beautiful interface, the ultimate portfolio piece.
08:22Everything loads instantly thanks to day 83 persistence.
08:27Create a public GitHub repo.
08:29Add app.py and your H5 models for use.
08:32Gitignore for large files.
08:35I always make my repos public, instant portfolio.
08:40Use .gitignore for models larger than 100 MMB.
08:43Always include a requirements.txt, streamlet and hugging face needed.
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