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  ---
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  title: README
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- emoji: 🐢
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- colorFrom: red
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- colorTo: green
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- sdk: streamlit
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- app_file: app.py
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  pinned: false
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- license: apache-2.0
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  title: README
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+ emoji: 🤖
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+ colorFrom: yellow
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+ colorTo: orange
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+ sdk: static
 
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  pinned: false
 
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  ---
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+ <div class="grid lg:grid-cols-3 gap-x-4 gap-y-4">
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+ <p class="lg:col-span-3">
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+ Bookbot is a learn-to-read mobile app, compatible with iOS & Android. Our app tailors to the needs of users with
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+ learning disabilities by highlighting words as they read and providing an audio companion to show how words are
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+ correctly pronounced through audio synthesis. We use 🤗HuggingFace to facilitate model training, hosting, and sharing.
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+ </p>
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+ <a href="https://www.bookbotkids.com/" class="block overflow-hidden">
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+ <img
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+ alt=""
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+ src="https://huggingface.co/spaces/bookbot/README/raw/main/overview.png"
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+ class="w-full h-40 object-cover mb-2 bg-gray-300 rounded-lg"
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+ style="margin:0;"
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+ />
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+ <div class="underline">Bookbot Website</div>
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+ </a>
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+ <a href="https://www.youtube.com/watch?v=fbmP2rkwcc0" class="block overflow-hidden">
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+ <img
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+ alt=""
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+ src="https://huggingface.co/spaces/bookbot/README/raw/main/overview.png"
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+ class="w-full h-40 object-cover mb-2 bg-gray-300 rounded-lg"
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+ style="margin:0;"
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+ />
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+ <div class="underline">Bookbot Overview</div>
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+ </a>
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+ <a href="https://huggingface.co/bookbot" class="block overflow-hidden">
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+ <img
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+ alt=""
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+ src="https://huggingface.co/spaces/bookbot/README/raw/main/overview.png"
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+ class="w-full h-40 object-cover mb-2 bg-gray-300 rounded-lg"
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+ style="margin:0;"
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+ />
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+ <div class="underline">Find all our models in the Hub</div>
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+ </a>
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+ <div class="lg:col-span-3">
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+ <p class="mb-4">
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+ To use our models available on the Hub, you try the following example:
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+ </p>
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+ <div
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+ class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4"
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+ >
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+ <pre class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800" style="margin:0;">
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+ from transformers import pipeline
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+ pretrained_name = "bookbot/gpt2-indo-medium-kids-stories"
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+ nlp = pipeline("text-generation", model=pretrained_name, tokenizer=pretrained_name)
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+ nlp("Archie sedang mengendarai roket ke planet Mars.")
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+ </pre>
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+ </div>
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+ </div>
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+ </div>