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f2b70d1
Adding details
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app.py
CHANGED
@@ -24,17 +24,8 @@ WEBHOOK_SECRET = os.getenv("HF_WEBHOOK_SECRET", 'secret')
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intro_md = """
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# Processing BORU
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[derek-thomas/dataset-creator-reddit-bestofredditorupdates](https://huggingface.co/datasets/derek-thomas/dataset-creator-reddit-bestofredditorupdates).
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It then takes the updates from that dataset and get embeddings and puts the results in
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[https://huggingface.co/datasets/derek-thomas/reddit-bestofredditorupdates-processed](https://huggingface.co/datasets/derek-thomas/reddit-bestofredditorupdates-processed)
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Check out the original on [Nomic](https://atlas.nomic.ai/data/derek2/boru-subreddit-neural-search/map)
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## What is this for beginners?
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This is a space to visually search the subreddit /r/bestofredditorupdates. Have you ever been curious to search for stories
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that are similar to one of your favorites? This can help!
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- Each dot represents a post (try clicking on one)
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- Closer dots are similar in topic
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@@ -46,6 +37,17 @@ that are similar to one of your favorites? This can help!
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- Filtering by date
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- The search can help you look by keyword
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## Todo
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- Ignore the colors for now, I need to clean that up :)
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- I need to integrate with Nomic's semantic search
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@@ -61,6 +63,8 @@ with gr.Blocks() as ui:
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with gr.Tab("Logs"):
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gr.Markdown("# Logs")
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output = gr.HTML(log_file_to_html_string, every=1)
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app = WebhooksServer(ui=ui.queue(), webhook_secret=WEBHOOK_SECRET)
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intro_md = """
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# Processing BORU
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This is a space to visually search the subreddit [/r/bestofredditorupdates](https://www.reddit.com/r/BestofRedditorUpdates/).
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Have you ever been curious to search for stories that are similar to one of your favorites? This can help!
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- Each dot represents a post (try clicking on one)
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- Closer dots are similar in topic
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- Filtering by date
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- The search can help you look by keyword
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Check out the original on [Nomic](https://atlas.nomic.ai/data/derek2/boru-subreddit-neural-search/map)
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"""
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details_md = """
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# Details
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## Creation Details
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This space is triggered by a webhook for changes on
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[derek-thomas/dataset-creator-reddit-bestofredditorupdates](https://huggingface.co/datasets/derek-thomas/dataset-creator-reddit-bestofredditorupdates).
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It then takes the updates from that dataset and get embeddings and puts the results in
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[https://huggingface.co/datasets/derek-thomas/reddit-bestofredditorupdates-processed](https://huggingface.co/datasets/derek-thomas/reddit-bestofredditorupdates-processed)
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## Todo
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- Ignore the colors for now, I need to clean that up :)
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- I need to integrate with Nomic's semantic search
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with gr.Tab("Logs"):
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gr.Markdown("# Logs")
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output = gr.HTML(log_file_to_html_string, every=1)
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with gr.Tab("Details"):
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gr.Markdown(details_md)
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app = WebhooksServer(ui=ui.queue(), webhook_secret=WEBHOOK_SECRET)
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