A python script that queries the Diffbot Knowledge Graph for news and summarizes the top line takeaways with citations.
[
{
"name": "Twitter's Disagreement with EU on Disinformation Code",
"date": 1686061842000,
"citationIds": [
"ART51264025820" # https://nationalpost.com/news/twitter-has-chosen-confrontation-by-pulling-out-of-disinformation-code-eu
]
},
{
"name": "Senators Warning Twitter and Elon Musk over Data Privacy",
"date": 1685951340000,
"citationIds": [
"ART144302563391" #https://abcnews.go.com/Business/senators-warn-twitter-elon-musk-alleged-disregard-data/story?id=99838319
]
}
]
Read more at ___
Clone to a project directory and install some basic dependencies. You may wish to instantiate a venv.
# Optional
python3 -m venv venv
python3 venv/bin/activate
# Install Requirements
pip3 install -r requirements.txtAdd your Diffbot token and OpenAI auth into the corresponding variables in generate_foryou.py
Run generate_foryou.py with a single argument - the name of a company. By default, this script will query the Diffbot KG for the last 30 days of news on this company and generate top lines on politics related headlines in the form of a JSON array with citations.
python3 generate_foryou.py Tiktok
python3 generate_foryou.py TwitterCustomize the prompt to your liking to curate your own custom For You output.
generate_timeline.py also uses the same single argument but uses the top line workflow to generate an event timeline of a company's history. Like this:
Careful! This will take a long time and eat up lots of requests from Diffbot and OpenAI!
Open an issue, or reach out to me at [email protected] if you have any questions.