video1.0<iframe src="https://www.loom.com/embed/f4954e7d34ef4b7b8491e2bf910e8521" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/f4954e7d34ef4b7b8491e2bf910e8521-00001.gif224.3333333333333Hi there! In this Loom, I'm excited to show you an application I built using Glunchain and OpenAI that allows you to scrape data on your behalf from Twitter, and then open an interactive chat session to talk to it. We can ask the chatbot questions about any topic we're interested in, and it will generate a summary that gives us a broad overview of the ingested data, as well as example questions that we can select to start the interactive session. The tweets cover a range of topics, including Python programming, machine learning, data science, and web development. The chatbot has a memory, so it's not a simple one-shot question, and once you're done, you can hit ctrl c and the conversation will be saved in a file that you can analyze later or share it with others. If you're interested in learning more about this code or contributing, you can check out the future features I'm intending to add to the app or send me a message or tweet. Thanks for watching!