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Summary: The purpose of this diff is to add a WIP landing page for Flora so that we can link to it from the blog posts announcing PlayTorch. As a follow up we will need to add links to PlayTorch in the iOS and Android app store, and a call-to-action at the bottom (perhaps "Join our discord"). Reviewed By: clarksandholtz Differential Revision: D37540835 fbshipit-source-id: b2899db4d3f193675282eeaf2d42e03fe3ba6791
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--- | ||
id: flora | ||
title: The Flora App | ||
hide_table_of_contents: true | ||
--- | ||
<div style={{backgroundColor: 'white', padding: '2rem', borderRadius: '0.5rem'}}> | ||
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# The Flora App | ||
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*Flora* is an multimodal learning app built with PlayTorch. It was built through a collaboration between the PlayTorch team and PhD students in Stanford University's Human-Computer Interaction Graduate Program. | ||
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The app presents a sample lesson about eucalyptus trees in California and makes use of "multimodal learning" -- learning that happens through a variety of different modes like visual, kinaesthetic, reading, writing and speaking. PlayTorch enabled us to quickly integrate a variety of machine learning models that make the learning experience interactive and engaging. | ||
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<img src={require('/img/flora/flora-opening-page.png').default} alt="The Flora App" style={{width: '12rem', marginBottom: '1.5rem'}} /> | ||
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## Try it out | ||
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You can try out Flora for yourself! | ||
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To get started follow these steps: | ||
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1. Download the PlayTorch app onto an iOS or Android device. [TODO: Add link] | ||
2. Open the PlayTorch app and use it to scan the QR code on the right side of this Expo Snack [TODO: Add link]. | ||
3. Start the lesson! Your first task is to find a eucalyptus tree and scan it using the custom-tuned imagenet classifier. If you don't have a eucalyptus tree nearby try using one of these [pictures](https://www.google.com/search?q=eucalyptus+tree&rlz=1C5GCEM_enUS992US992&source=lnms&tbm=isch&sa=X&ved=2ahUKEwiMje_M8NX4AhWPDkQIHYNhCGkQ_AUoAXoECAIQAw&biw=1964&bih=1117&dpr=1#imgrc=_iXbgljkmKDk4M). | ||
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PlayTorch allowed our team to quickly integrate and use three different machine learning models, which you'll see as you engage with the app: | ||
1. The imagenet classifier for identifying tree types | ||
2. The wav2vec model, which enables high-quality speech-to-text. | ||
3. The BERT QA model for answering basic questions about eucalyptus trees. | ||
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</div> |
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