**Do everything from data collection from reddit to training a machine learning model in just two lines of python code! **
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.
pip install redditflow
pip install git+https://github.com/nfflow/redditflow
from redditflow import TextApi
config = {
"sort_by": "top",
"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)
from redditflow import ImageApi
config = {
"sort_by": "top",
"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.
If you use our work, please cite the software in the url: https://github.com/nfflow/redditflow
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