Redditflow.

**Do everything from data collection from reddit to training a machine learning model in just two lines of python code! **

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Website • Installation • Docs • Huggingface Hub • Blog •

Supports:

• Text Data
• Image Data

Execution is as simple as this:

• Make a config file with your required details of input.
• Run the API in a single line with the config passed as input.

Installation.

pip install redditflow

Latest installation from source.

pip install git+https://github.com/nfflow/redditflow

Docs.

1) Text API.

ML pipeline arguments

The ML pipeline dict can have the following arguments.

2) Image API

Examples

Text data collection and training a model in the end.

from redditflow import TextApi


config = {
        "sort_by": "best",
        "subreddit_text_limit": 50,
        "total_limit": 200,
        "start_time": "27.03.2021 11:38:42",
        "end_time": "27.03.2022 11:38:42",
        "subreddit_search_term": "healthcare",
        "subreddit_object_type": "comment",
        "ml_pipeline": {
            'model_name': 'distilbert-base-uncased',
            'model_output_path': 'healthcare_27.03.2021-27.03.2022_redditflow',
            'model_architecture': 'CT'
            }
    }


TextApi(config)

Image data collection

from redditflow import ImageApi


config = {
        "sort_by": "best",
        "subreddit_image_limit": 3,
        "total_limit": 10,
        "start_time": "13.11.2021 09:38:42",
        "end_time": "15.11.2021 11:38:42",
        "subreddit_search_term": "cats",
        "subreddit_object_type": "comment",
        "client_id": "$CLIENT_ID",  # get client id for praw
        "client_secret": '$CLIENT_SECRET',  # get client secret for praw
         }

ImageApi(config)

Since the image api requires praw api from python, a praw client_id and client_secret are required. Read here about how to get client id and client secret for praw.