This package helps you to build embeddings based on someone social profile. It will scrape the data from the social media and build the embeddings based on the data. The embeddings can be used for further analysis. Once scraped, you can query it with the use of openai.
Install using following command:
pip install social-gpt
Update the example.env
and change it's name to .env
. Add relevant information in the .env
file.
As of now, only youtube is supported. Also, as of now, we will scrape 50 videos, which we will extend to all of the videos shortly. We will be bringing more social media platforms soon. To create embeddings, run the following command: To get the channel id, go to this website and enter the channel url. It will give you the channel id.
from social_gpt.ingestion.ingestion import SocialIngestion
ingestion = SocialIngestion(channel_id, 'youtube')
index_id = ingestion.create_embeddings()
Store this index_id
for querying the embeddings.
from social_gpt.query.query_helper import QueryHelper
q = QueryHelper(index_id)
response = q.query('What is the best way to learn python?')
print(response)
That's it!