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rrational

scrapping reddit.com/r/rational and analytics

screenshot

Project plan:

  • Init
  • Fill out README
  • Scrape r/rational
  • use statistics
  • Use llm to get reccomendations, sentiment, karma etc
  • share
  • comment md to html
  • comment expand
  • threads where it's mentioned
  • better tittles and data cleaning
  • github pages

Install requirements

This project uses poetry for requirement and is set up for torch using cuda.

poetry install

Then

cp .env.example .env

Then fill out the api keys

How to run

First run <nbs/mjc_001_download.ipynb> to update the data in <data/cache2/>

Then run <nbs/mjc_004_process.ipynb> to analyse the data and output <index.html>

use nb 05 to run an llm from openrouter (costs around $50) and the results are... OK

S
Description
scraping book reccomendations from reddit r rational
Readme
176 MiB
0 Stars 1 Watchers 0 Forks
Languages
Jupyter Notebook 95.9%
Python 2.3%
HTML 1.8%