This is a pet project to mess around with twitter API. It parses twitter profile tweets that has images and feeds this images to a trained model to classify whether the image has NSFW content or not. It then returns only photos that was classified as NSFW by model with probability > threshold.
For now it only parses tweets for the last week. Unfortunately it's a limitation of twitter API 😔
Basically the app consists of 2 services for now:
- API service
- Telegram Bot
A fastify service which has
/checkendpoint. Which receives a twitter username. It then query twitter API for media tweets of that username and feeds each media file to a pretrained model to classify whether the image has any NSFW content. It then returns only those media files model classified as NSFW/testendpoint. Dummy endpoint to perform api service healthcheck
Responsible for parsing messages from the user, parsing them and making a respective calls to the API
For now await twitter profile URL e.g. https://twitter.com/<user_name>
To run a project locally you'll have to obtain a twitter API token, and create a telegram bot.
Once you have both twitter API token and telegram bot clone this repository to your machine
and create .env file in the root of the project with next structure:
API_SERVER_PORT="<API_PORT>"
API_HOST=127.0.0.1
BEARER_TOKEN="<your twitter api token>"
API_KEY="Bearer ${BEARER_TOKEN}"
BOT_TOKEN="<you telegram bot token>"Then run docker compose up. This should do a thing
To start API service just run npm run start:api
To start Telegram bot just run npm run start:bot