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import os |
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from pathlib import Path |
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import gradio as gr |
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from huggingface_hub import WebhookPayload, WebhooksServer |
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from utilities.my_logger import setup_logger |
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from utilities.visualize_logs import log_file_to_html_string |
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proj_dir = Path(__name__).parent |
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SUBREDDIT = os.environ["SUBREDDIT"] |
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USERNAME = os.environ["USERNAME"] |
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DATASET_NAME = f"{USERNAME}/dataset-creator-reddit-{SUBREDDIT}" |
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FREQUENCY = os.environ.get("FREQUENCY", '').lower() |
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if FREQUENCY not in ["daily", "hourly"]: |
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raise gr.Error("FREQUENCY environment variable must be 'daily' or 'hourly'") |
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WEBHOOK_SECRET = os.getenv("HF_WEBHOOK_SECRET", 'secret') |
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logger = setup_logger(__name__) |
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intro_md = f""" |
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# Reddit Dataset Creator |
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This is a reddit dataset creator which builds and updates [{DATASET_NAME}](https://huggingface.co/datasets/{DATASET_NAME}) |
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which pulls from [/r/{SUBREDDIT}](http://www.reddit.com/r/{SUBREDDIT}). Check the dataset for more details. |
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As shown in the below diagram this space pulls data from reddit via [PRAW](https://praw.readthedocs.io/en/stable/), processes it, and puts it in a corresponding dataset. |
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""" |
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how_to_md = f""" |
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# How to make your own space and dataset |
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1. Create a [reddit application](https://www.reddit.com/prefs/apps), use 'Script for personal use' |
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- Redirect URI can be anything, I use 'http://www.example.com/unused/redirect/uri' |
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- You need the `secret` and the `Client ID` from the reddit application. |
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- `REDDIT_USER_AGENT` can be any descriptive string, probably any undescriptive string too. |
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2. Get your writable [huggingface token](https://huggingface.co/settings/tokens) |
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3. <a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/derek-thomas/dataset-creator-reddit-amitheasshole?duplicate=true"><img style="margin-top:0;margin-bottom:0" src="https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-sm-dark.svg" alt="Duplicate Space"></a> |
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and fill in the information |
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""" |
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how_does_it_work_md = f""" |
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# Core Components |
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There are 2 core components [main](main.py) and [app](app.py). |
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Main does a few things: |
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- Pulls from a datasource |
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- Updates a dataset on the hub |
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- Updates the README of the dataset |
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- Writes a local log file (inaccessible outside the spaces container) |
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App |
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- Visualizes the log file from Main |
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# Running it |
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This uses a docker space so that I can execute supervisor. Supervisor allows me to kick off 2 processes and manage the |
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log files. I use gradio for `app` and map that to the open port of huggingface spaces. |
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The only communication between `app` and `main` is the log file. |
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""" |
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js_func = """ |
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function refresh() { |
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const url = new URL(window.location); |
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if (url.searchParams.get('__theme') !== 'dark') { |
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url.searchParams.set('__theme', 'dark'); |
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window.location.href = url.href; |
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} |
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} |
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""" |
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with gr.Blocks(js=js_func) as ui: |
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with gr.Tab("Application"): |
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gr.Markdown(intro_md) |
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gr.Image(str(proj_dir / 'media' / 'reddit_scraper.drawio.png'), type='filepath') |
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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("How to Create?"): |
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gr.Markdown(how_to_md) |
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with gr.Tab("How does it work?"): |
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gr.Markdown(how_does_it_work_md) |
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app = WebhooksServer(ui=ui.queue(), webhook_secret=WEBHOOK_SECRET) |
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@app.add_webhook("/dataset_repo") |
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async def community(payload: WebhookPayload): |
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if payload.event.scope.startswith("repo"): |
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logger.info(f"Webhook received from {payload.repo.name} indicating a repo {payload.event.action}") |
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if __name__ == '__main__': |
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app.launch(server_name="0.0.0.0", show_error=True, server_port=7860, share=False) |
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