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# -*- encoding: utf-8 -*- | |
""" | |
@Date : 2024/02/07 | |
@Author : Tuo Zhou | |
@File : email_summary.py | |
""" | |
import os | |
from metagpt.roles.di.data_interpreter import DataInterpreter | |
async def main(): | |
email_account = "your_email_account" | |
# your password will stay only on your device and not go to LLM api | |
os.environ["email_password"] = "your_email_password" | |
### Prompt for automatic email reply, uncomment to try this too ### | |
# prompt = f"""I will give you your Outlook email account ({email_account}) and password (email_password item in the environment variable). You need to find the latest email in my inbox with the sender's suffix @gmail.com and reply "Thank you! I have received your email~""""" | |
### Prompt for automatic email summary ### | |
prompt = f"""I will give you your Outlook email account ({email_account}) and password (email_password item in the environment variable). | |
Firstly, Please help me fetch the latest 5 senders and full letter contents. | |
Then, summarize each of the 5 emails into one sentence (you can do this by yourself, no need to import other models to do this) and output them in a markdown format.""" | |
di = DataInterpreter() | |
await di.run(prompt) | |
if __name__ == "__main__": | |
import asyncio | |
asyncio.run(main()) | |