Facebook Messenger Bot

This is a simple python template that uses Flask to build a webhook for Facebook's Messenger Bot API.

Read more in my tutorial that uses this repository.

New: Check out my Facebook Messenger Bot Course. It walks you through the process of getting this bot hosted on heroku step-by-step, and also unlocks all the content that's hidden in this repo's branches.

"Callback verification failed"

The #1 error that gets reported in issues is that facebook returns an error message (like above) when trying to add the heroku endpoint to your facebook chat application.

Our flask application intentionally returns a 403 Forbidden error if the token that facebook sends doesn't match the token you set using the heroku configuration variables.

If you're getting this error, it likely means that you didn't set your heroku config values properly. Run heroku config from the command line within your application and verify that there's a key called VERIFY_TOKEN that has been set, and that it's set to the same value as what you've typed into the window on facebook.

A starter Facebook Messenger Bot built in Python

Facebook Messenger Bot

"Callback verification failed"

🤖 Template for telegram bot using postgres, pgbouncer, redis, docker, amplitude, prometheus, grafana, CI

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

Text analytics for LLM apps. PostHog for prompts. Extract evaluations, intents and events from text messages. phospho leverages LLM (OpenAI, MistralAI, Ollama, etc.)

a flask profiler which watches endpoint calls and tries to make some analysis.

Analytics services for Django projects

A flexible, easy to use, automation framework allowing users to integrate their capabilities and devices to cut through the repetitive, tedious tasks slowing them down. #nsacyber

Apache Superset is a Data Visualization and Data Exploration Platform

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.