This weblog reveals how you can make the most of Fb Messenger Chatbot, Flask, and ChatGPT collectively to offer textual content messages with detailed responses.
Step 1: Create a Fb Chatbot
We should create the Fb Messenger Chatbot in an effort to automate the messages with ChatGPT. Please comply with the steps from step 1 to step 8 in our weblog submit on the Fb Messenger Bot. Earlier than persevering with, please be sure to adopted the weblog’s directions.
Step 2: ChatGPT API
You may try our weblog WhatsApp Chatbot With ChatGPT Step 2 “ChatGPT API” which has directions for organising and utilizing ChatGPT.
Step 3: Combine ChatGPT API with Flask Software
It’s time to combine our ChatGPT API with the Flask software now that it has been efficiently put in.
Nonetheless, the ChatGPT API will proceed to run within the Firefox browser’s background, which might intrude with receiving responses from the ChatGPT API, due to this fact we should finish the method that’s at the moment working the browser.
def course of():
attempt:
# iterating by every occasion of the method
for line in os.popen(“ps ax | grep firefox | grep -v grep”):
fields = line.break up()
# extracting Course of ID from the output
pid = fields[0]
# terminating course of
os.kill(int(pid), sign.SIGKILL)
print(“Course of Efficiently terminated”)
besides:
print(“Error Encountered whereas working script”)
The flask software that we have now created in step 1 needs to be modified now. To obtain ChatGPT’s response to consumer messages, change the present code in your Flask app with the next code.
import requests
import os, sign
from flask import Flask, request
from chatgpt_wrapper import ChatGPT
app = Flask(__name__)
# That is web page entry token that you just get from fb developer console.
PAGE_ACCESS_TOKEN = ‘<Your PAGE ACCESS TOKEN>’
# That is API key for fb messenger.
API=”
def course of():
attempt:
# iterating by every occasion of the method
for line in os.popen(“ps ax | grep firefox | grep -v grep”):
fields = line.break up()
# extracting Course of ID from the output
pid = fields[0]
# terminating course of
os.kill(int(pid), sign.SIGKILL)
# print(“Course of Efficiently terminated”)
besides:
print(“Error Encountered whereas working script”
@app.route(“/”, strategies=[‘POST’])
def fbwebhook():
knowledge = request.get_json()
attempt:
if knowledge[‘entry’][0][‘messaging’][0][‘sender’][‘id’]:
message = knowledge[‘entry’][0][‘messaging’][0][‘message’]
sender_id = knowledge[‘entry’][0][‘messaging’][0][‘sender’][‘id’]
chat_gpt_input=message[‘text’]
print(chat_gpt_input)
bot = ChatGPT()
chatbot_res = bot.ask(chat_gpt_input)
print(“ChatGPT Response=>”,chatbot_res)
course of()
return chatbot_res
besides Exception as e:
print(e)
move
return ‘200 OK HTTPS.’
if __name__ ==’__main__’:
app.run()
Notice:
Run the flask software within the terminal: python SCRIPT_NAME.pyRun the ngrok on terminal: ngrok http 5000
Step 4: Check Chatbot
If you happen to go to your Fb web page, you’ll be capable of check the bot by sending it a message. When you’ve got all the things accurately arrange, you must get a message again out of your web page.
After sending a message on a bot you’ll obtain a response from ChatGPT on the server as proven in under
When a consumer sends a message, the created web page is efficiently delivering them a ChatGPT response.
Do tell us should you face any points in organising or utilizing the script. We’d be blissful to assist! Contact us or submit your question within the feedback.
Additionally, try our different tutorials to discover ways to construct a ChatGPT chatbot on completely different platforms.
WhatsApp with ChatGPT: Construct An Automated, AI-Powered WhatsApp Chatbot With ChatGPT Utilizing Flask
Telegram Bot with ChatGPT: Construct An Automated, AI-Powered Telegram Chatbot With ChatGPT Utilizing Flask
Slack Chatbot with ChatGPT: Construct An Automated, AI-Powered Slack Chatbot With ChatGPT Utilizing Flask
We’ve already created a weblog submit sequence the place we have now offered a tutorial on how you can create a chatbot for various platforms. You may discover these blogs and study how one can set completely different sorts of wealthy responses which may improve consumer engagement in your chatbot.
Telegram: Create Telegram Bot Utilizing Python Tutorial With Examples
Fb Messanger: Create Fb Messenger Bot Utilizing Python Tutorial With Examples
Slack: Create Slack Bot Utilizing Python Tutorial With Examples
Discord: Create Discord Bot Utilizing Python Tutorial With Examples
