It's a project to parse messages from telegram chats. Main task it to create some unified CLI for telegram "Data mining" Some NLP cases, where you can use this interface over Telethon library:

1. Message summarization over some time period
2. Text stylization by some author at Telegram
3. Creating dataset for other task like some sentiment analysis, sentence similarity and translation

1. Create .env file from example.env (it's used to get information about your telegram channels)
2. Run --help for other instructions

python main.py --help

You can use get-dialogs method to get all channels id:

python main.py get-dialogs

Or use parse-channel to get .csv file with all messages from it

python main.py parse-channel --output-file=some_channel_messages.csv 1001754702845

where 1001754702845 is some channel_id