![]() ![]() We have already created a blog post series where we have provided a tutorial on how to create a chatbot for different platforms. Slack Chatbot with ChatGPT: Build An Automated, AI-Powered Slack Chatbot With ChatGPT Using Flask Telegram Bot with ChatGPT: Build An Automated, AI-Powered Telegram Chatbot With ChatGPT Using Flask WhatsApp with ChatGPT: Build An Automated, AI-Powered WhatsApp Chatbot With ChatGPT Using Flask We would be happy to help! Contact us or post your query in the comments.Īlso, check out our other tutorials to learn how to build a ChatGPT chatbot on different platforms. When a user sends a message, the created page is successfully delivering them a ChatGPT response.ĭo let us know if you face any issues in setting up or using the script. If you have everything correctly set up, you should get a message back from your page.Īfter sending a message on a bot you will receive a response from ChatGPT on the server as shown in below If you visit your Facebook page, you’ll be able to test the bot by sending it a message. Run the ngrok on terminal: ngrok http 5000 Step 4: Test Facebook Messenger Chatbot Run the flask application in the terminal: python SCRIPT_NAME.py # This is page access token that you get from facebook developer console. To receive ChatGPT’s response to user messages, replace the existing code in your Flask app with the following code. The flask application that we have created in step 1 has to be modified now. It’s time to integrate our ChatGPT API with the Flask application now that it has been successfully installed. ![]() Step 3: Integrate ChatGPT API with Flask Application You can check out our blog WhatsApp Chatbot With ChatGPT Step 2 “ChatGPT API” which has instructions for setting up and using ChatGPT. Before continuing, please make sure you followed the blog’s instructions. Please follow the steps from step 1 to step 8 in our blog post on the Facebook Messenger Bot. ![]() We must create the Facebook Messenger Chatbot in order to automate the messages with ChatGPT. This blog shows how to utilize Facebook Messenger Chatbot, Flask, and ChatGPT together to provide text messages with detailed responses. ![]()
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