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import os | |
import json | |
from slack import WebClient, Msg | |
from transformers import pipeline | |
# Load environment variables | |
SLACK_BOT_TOKEN = os.environ['SLACK_BOT_TOKEN'] | |
SLACK_CHANNEL = os.environ['SLACK_CHANNEL'] | |
# Initialize Slack client | |
client = WebClient(token=SLACK_BOT_TOKEN) | |
# Initialize ChatGPT model | |
chat_gpt = pipeline('conversational_ai', model='facebook/bart-base') | |
def lambda_handler(event, context): | |
# Parse Slack event | |
event_text = event['event']['text'] | |
user_id = event['event']['user'] | |
# Generate response using ChatGPT | |
response = chat_gpt(event_text, max_length=100) | |
# Post response to Slack channel | |
client.chat_postMessage( | |
channel=SLACK_CHANNEL, | |
text=response | |
) | |
return { | |
'statusCode': 200, | |
'statusMessage': 'OK' | |
} |