Spaces:
Runtime error
Runtime error
| import os | |
| from pathlib import Path | |
| import gradio as gr | |
| from huggingface_hub import WebhookPayload, WebhooksServer | |
| from src.my_logger import setup_logger | |
| from src.utilities import load_datasets, merge_and_update_datasets | |
| from src.visualize_logs import log_file_to_html_string | |
| from src.build_nomic import build_nomic | |
| proj_dir = Path(__name__).parent | |
| logger = setup_logger(__name__) | |
| logger.info("Starting Application...") | |
| SUBREDDIT = os.environ["SUBREDDIT"] | |
| USERNAME = os.environ["USERNAME"] | |
| OG_DATASET = f"{USERNAME}/dataset-creator-reddit-{SUBREDDIT}" | |
| PROCESSED_DATASET = os.environ['PROCESSED_DATASET'] | |
| HUGGINGFACE_AUTH_TOKEN = os.environ["HUGGINGFACE_AUTH_TOKEN"] | |
| WEBHOOK_SECRET = os.getenv("HF_WEBHOOK_SECRET", 'secret') | |
| intro_md = """ | |
| # Processing BORU | |
| This space is triggered by a webhook for changes on | |
| [derek-thomas/dataset-creator-reddit-bestofredditorupdates](https://huggingface.co/datasets/derek-thomas/dataset-creator-reddit-bestofredditorupdates). | |
| It then takes the updates from that dataset and get embeddings and puts the results in | |
| [https://huggingface.co/datasets/derek-thomas/reddit-bestofredditorupdates-processed](https://huggingface.co/datasets/derek-thomas/reddit-bestofredditorupdates-processed) | |
| Check out the original on [Nomic](https://atlas.nomic.ai/data/derek2/boru-subreddit-neural-search/map) | |
| """ | |
| html_str = """ | |
| <html> | |
| <head> | |
| <title>conll2003</title> | |
| <style> | |
| body { | |
| font-family: Arial, sans-serif; | |
| background-color: #f0f0f0; | |
| display: flex; | |
| justify-content: center; | |
| align-items: center; | |
| height: 100vh; | |
| margin: 0; | |
| padding: 0; | |
| color: #333; | |
| } | |
| .iframe-container { | |
| border: 1px solid #ccc; | |
| border-radius: 10px; | |
| overflow: hidden; | |
| width: 80%; | |
| height: 80%; | |
| box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); | |
| } | |
| iframe { | |
| width: 100%; | |
| height: 100%; | |
| border: none; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="iframe-container"> | |
| <iframe src="https://atlas.nomic.ai/data/derek2/boru-subreddit-neural-search/map/cdd8c890-2fac-4ea6-91f8-e6821203cfcb" allow="clipboard-read; clipboard-write" | |
| title="Nomic Atlas"></iframe> | |
| </div> | |
| </body> | |
| </html>""" | |
| with gr.Blocks() as ui: | |
| with gr.Tab("Application"): | |
| gr.Markdown(intro_md) | |
| gr.HTML(html_str) | |
| with gr.Tab("Logs"): | |
| gr.Markdown("# Logs") | |
| output = gr.HTML(log_file_to_html_string, every=1) | |
| app = WebhooksServer(ui=ui.queue(), webhook_secret=WEBHOOK_SECRET) | |
| async def community(payload: WebhookPayload): | |
| if payload.event.scope.startswith("repo"): | |
| logger.info(f"Webhook received from {payload.repo.name} indicating a repo {payload.event.action}") | |
| else: | |
| return | |
| logger.info(f"Loading new dataset...") | |
| dataset, original_dataset = load_datasets() | |
| logger.info(f"Loaded new dataset") | |
| logger.info(f"Merging and Updating row...") | |
| dataset = merge_and_update_datasets(dataset, original_dataset) | |
| # Push the augmented dataset to the Hugging Face hub | |
| logger.info(f"Pushing processed data to the Hugging Face Hub...") | |
| dataset.push_to_hub(PROCESSED_DATASET, token=HUGGINGFACE_AUTH_TOKEN) | |
| logger.info(f"Pushed processed data to the Hugging Face Hub") | |
| logger.info(f"Building Nomic...") | |
| build_nomic(dataset=dataset) | |
| logger.info(f"Built Nomic") | |
| if __name__ == '__main__': | |
| app.launch(server_name="0.0.0.0", show_error=True, server_port=7860) | |
| # ui.queue().launch(server_name="0.0.0.0", show_error=True, server_port=7860) | |