flair-classifier

A webapp using django to predict the flair on a post from r/india subreddit.

Notebooks

This folder contains the code for scraping and cleaning of the reddit data. Then applying text classification to predict flair on a post.

• Data_Scrapping.ipynb downloads the posts data from r'india' subreddit using PRAW API and PSAW API.
  
• Data Exploration.ipynb Cleans the scraped data and include some visualisations of relevant details about the data scraped.
• final_distilbert.ipynb contains the code for text preprocessing and text classification.
  DistilBERT architechture has been used for classification task.

app

This folder contains the files related to the webapp.

• scrapper.py scrapes post from subreddit r'india' based on URL of the post
• classifier.py loads the pretrained weights on the model and runs through the scraped text data to predict the flair.