metadata

title: Demo
emoji: 📉
colorFrom: gray
colorTo: green
sdk: streamlit
sdk_version: 1.10.0
app_file: app.py
pinned: false
license: apache-2.0

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

quick start

install requirements with pip install -r requirements
create a .env file in the root directory and add the following variables: REDDIT_API_CLIENT_ID : the client ID of your reddit app REDDIT_API_CLIENT_SECRET: the client secret of your reddit app follow this tutorial to generate them. https://www.jcchouinard.com/get-reddit-api-credentials-with-praw/
run the streamlit app using : streamlit run app.py

scraping

the app use praw library to scrape submissions from reddit. A class named scraper.RedditScraper implements and abstracts that feature.

sentiment analysis model

The model used in the application is a fine-tuned BERT-based model trained with labeled data scraped from TSLA subbreddit using a script that uses the scraping module scraper.RedditScraper.

The data is available in https://huggingface.co/datasets/fourthbrain-demo/reddit-comments-demo , availalbe in 2 versions (used later with DVC), and splitted into train/test datasets.