In this blog, we will discover how to build a Slack bot, add it to our Slack channel, and receive text replies from ChatGPT.
Step 1: Create a Slack Bot
Slack Bot must be created in order to automate messages with ChatGPT. Please follow the directions from steps 1 to 23 in our blog post Slack Bot with Python. Before moving forward, please make sure that you followed the blog’s instructions.
Step 2: ChatGPT API
Please view our recent blog post, WhatsApp Chatbot With ChatGPT Step 2 “ChatGPT API”, which includes guidelines for configuring and utilising ChatGPT
Step 3: Integrate ChatGPT API with Flask Application
It’s time to integrate our ChatGPT API with the Flask application once its installation is successful.
However, the ChatGPT API will continue to run in the Firefox browser’s background, which could interfere with receiving responses from the ChatGPT API, therefore we must end the process that is currently running the browser.
def process():
try:
# iterating through each instance of the process
for line in os.popen(“ps ax | grep firefox | grep -v grep”):
fields = line.split()
# extracting Process ID from the output
pid = fields[0]
# terminating process
os.kill(int(pid), signal.SIGKILL)
print(“Process Successfully terminated”)
except:
The flask application we developed in step 1 has to be modified now. To receive ChatGPT’s response to user messages, replace the existing code in your Flask app with the following code.
import slack
import os, signal
from flask import request
from flask import Flask
from chatgpt_wrapper import ChatGPT
from slackeventsapi import SlackEventAdapter
SLACK_TOKEN=”<Your TOKEN>”
SIGNING_SECRET=”<Your SIGNING SECRET>”
app = Flask(__name__)
slack_event_adapter = SlackEventAdapter(SIGNING_SECRET, ‘/slack/events’, app)
@ slack_event_adapter.on(‘message’)
def message(payload):
print(payload)
client = slack.WebClient(token=SLACK_TOKEN)
try:
if request.method == ‘POST’:
event = payload.get(‘event’, {})
if event[‘client_msg_id’]:
channel_id = event.get(‘channel’)
user_id = event.get(‘user’)
text = event.get(‘text’)
print(text)
bot = ChatGPT()
chatbot_res = bot.ask(text)
process()
print(“ChatGPT Response=>”,chatbot_res)
client.chat_postMessage(channel=channel_id,text=chatbot_res)
return chatbot_res
except Exception as e:
print(e)
pass
return ‘200 OK HTTPS.’
if __name__ == “__main__”:
app.run(debug=True)
Note:
Run the flask application in the terminal: python SCRIPT_NAME.py
Run the ngrok on terminal: ngrok http 5000
Step 4: Test Slack Chatbot
To receive the ChatGPT-generated response, kindly send some messages to the Slack bot. On a server, you will also receive a response.
Here is the ChatGPT response on our server.
We will get the below response on our Slack Bot.
Originally published at Build An Automated, AI-Powered Slack Chatbot With ChatGPT Using Flask on January 10, 2023.
Build an automated, AI-Powered Slack Chatbot with ChatGPT using Flask was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
In this blog, we will discover how to build a Slack bot, add it to our Slack channel, and receive text replies from ChatGPT.Step 1: Create a Slack BotSlack Bot must be created in order to automate messages with ChatGPT. Please follow the directions from steps 1 to 23 in our blog post Slack Bot with Python. Before moving forward, please make sure that you followed the blog’s instructions.Step 2: ChatGPT APIPlease view our recent blog post, WhatsApp Chatbot With ChatGPT Step 2 “ChatGPT API”, which includes guidelines for configuring and utilising ChatGPTStep 3: Integrate ChatGPT API with Flask ApplicationIt’s time to integrate our ChatGPT API with the Flask application once its installation is successful.However, the ChatGPT API will continue to run in the Firefox browser’s background, which could interfere with receiving responses from the ChatGPT API, therefore we must end the process that is currently running the browser.def process(): try: # iterating through each instance of the process for line in os.popen(“ps ax | grep firefox | grep -v grep”): fields = line.split() # extracting Process ID from the output pid = fields[0] # terminating process os.kill(int(pid), signal.SIGKILL) print(“Process Successfully terminated”) except:The flask application we developed in step 1 has to be modified now. To receive ChatGPT’s response to user messages, replace the existing code in your Flask app with the following code.import slackimport os, signalfrom flask import requestfrom flask import Flaskfrom chatgpt_wrapper import ChatGPTfrom slackeventsapi import SlackEventAdapter SLACK_TOKEN=”<Your TOKEN>”SIGNING_SECRET=”<Your SIGNING SECRET>”app = Flask(__name__)slack_event_adapter = SlackEventAdapter(SIGNING_SECRET, ‘/slack/events’, app)@ slack_event_adapter.on(‘message’)def message(payload): print(payload) client = slack.WebClient(token=SLACK_TOKEN) try: if request.method == ‘POST’: event = payload.get(‘event’, {}) if event[‘client_msg_id’]: channel_id = event.get(‘channel’) user_id = event.get(‘user’) text = event.get(‘text’) print(text) bot = ChatGPT() chatbot_res = bot.ask(text) process() print(“ChatGPT Response=>”,chatbot_res) client.chat_postMessage(channel=channel_id,text=chatbot_res) return chatbot_res except Exception as e: print(e) pass return ‘200 OK HTTPS.’if __name__ == “__main__”: app.run(debug=True)Note:Run the flask application in the terminal: python SCRIPT_NAME.pyRun the ngrok on terminal: ngrok http 5000Step 4: Test Slack ChatbotTo receive the ChatGPT-generated response, kindly send some messages to the Slack bot. On a server, you will also receive a response.Here is the ChatGPT response on our server.We will get the below response on our Slack Bot.Originally published at Build An Automated, AI-Powered Slack Chatbot With ChatGPT Using Flask on January 10, 2023.Build an automated, AI-Powered Slack Chatbot with ChatGPT using Flask was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story. Read More chatbots, ai, nlp, slack, chatgpt