This contribution includes a fully asynchronous scraper using Playwright and OpenAI API, with Python scripts, Jupyter notebooks (outputs cleared), Markdown summaries, and a README. Organized under community-contributions/bojan-playwright-scraper/. Limited content retrieval from Huggingface.co is documented in the README.
60 lines
1.8 KiB
Plaintext
60 lines
1.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "3069b0e8",
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"metadata": {},
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"source": [
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"\n",
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"# Summary for https://huggingface.co\n",
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"\n",
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"This notebook contains an AI-generated summary of the website content.\n",
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"\n",
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"**URL**: `https://huggingface.co`\n",
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"\n",
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"---\n",
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"**Analysis**:\n",
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"Based on the provided content snippet, here is an analysis structured under the requested headings:\n",
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"\n",
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"### Summary\n",
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"The information provided is insufficient to determine the exact purpose of the website. However, the name \"Dia-1.6B\" suggests it might be related to a project or software version.\n",
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"\n",
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"### Entities\n",
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"No specific individuals or organizations are mentioned in the provided content.\n",
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"\n",
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"### Updates\n",
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"The content was updated 1 day ago, indicating recent activity or changes. However, the nature of these updates is not specified.\n",
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"\n",
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"### Topics\n",
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"The snippet does not provide enough information to identify primary subjects or themes.\n",
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"\n",
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"### Features\n",
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"The content does not detail any specific projects or initiatives.\n",
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"\n",
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"**Note:** The analysis is limited due to the lack of detailed information in the provided content snippet. More comprehensive content would be required for a complete analysis.\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python (WSL-Lakov)",
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"language": "python",
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"name": "lakov-wsl"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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