Tweaked article text in app
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app.py
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@@ -24,26 +24,24 @@ interface = gr.Interface(fn=process_query,
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description="""
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### Search for movie trailers, music torrents, and bitcoin wallet addresses!
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This toy example knows about 500 URLs exactly after merely a few hours of training on a single GPU
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""",
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article="""
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Generative AI is increasingly influencing fields such as content discovery, relevance ranking, and financial transactions, showcasing its potential to disrupt various industries.
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The novel end-to-end generative architectures could pave the way for fully decentralized alternatives in social media, the movie industry, search engines, and financial sectors—mirroring the decentralization levels of Bitcoin and BitTorrent.
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This shift could significantly empower ordinary Internet users.
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Explore the scientific foundation of this transformation in our paper presented at EuroMLSys 2024.
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The paper is available [here](https://huggingface.co/papers/2404.12237).
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We invite you to contribute to and engage with our community at the International Workshop on Distributed Infrastructure for Common Good (DICG).
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For this demo, we trained an end-to-end generative Transformer on a small dataset (526 records) that comprises YouTube URLs, magnet links, and Bitcoin wallet addresses.
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Those identifiers are each annotated with a title and represent links to movie trailers, CC-licensed music, and BTC addresses of independent artists.
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Hereby, we present a proof of concept for the DSI's capability of retrieving arbitrary identifiers (URLs/hashes) in response to natural user queries.
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The model is available under a permissive license and can be accessed [here](https://huggingface.co/tribler/dsi-search-on-toy-dataset).
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### Please Note
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description="""
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### Search for movie trailers, music torrents, and bitcoin wallet addresses!
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This toy example knows about 500 URLs exactly after merely a few hours of training on a single GPU. [View dataset](https://huggingface.co/tribler/dsi-search-on-toy-dataset/blob/main/dataset.csv).
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""",
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article="""
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## De-DSI
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Generative AI is increasingly influencing fields such as content discovery, relevance ranking, and financial transactions, showcasing its potential to disrupt various industries.
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The novel end-to-end generative architectures could pave the way for fully decentralized alternatives in social media, the movie industry, search engines, and financial sectors—mirroring the decentralization levels of Bitcoin and BitTorrent.
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This shift could significantly empower ordinary Internet users.
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Explore the scientific foundation of this transformation in our paper presented at EuroMLSys 2024.
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The paper is available [here](https://huggingface.co/papers/2404.12237).
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We invite you to contribute to and engage with our community at the International Workshop on Distributed Infrastructure for Common Good (DICG).
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### Demo
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For this demo, we trained an end-to-end generative Transformer on a small dataset (526 records) that comprises YouTube URLs, magnet links, and Bitcoin wallet addresses.
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Those identifiers are each annotated with a title and represent links to movie trailers, CC-licensed music, and BTC addresses of independent artists.
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Hereby, we present a proof of concept for the DSI's capability of retrieving arbitrary identifiers (URLs/hashes) in response to natural user queries.
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The model is available under a permissive license and can be accessed [here](https://huggingface.co/tribler/dsi-search-on-toy-dataset).
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### Please Note
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