Enable OpenAI chatbot with the selected YouTube video content using LangChain, FAISS & YouTube data-API.
This post offers an effective way to feed the discussions to OpenAI bots from YouTube videos as sources in response to the questions asked by the users.
Also, in this post, I’ve directly subscribed to OpenAI & I’m not using OpenAI from Azure. However, I’ll explore that in the future as well.
Before I explain the process to invoke this new solution, why not view the demo first & then discuss it?
Isn’t it very exciting? This will lead to a whole new ballgame, where one can get critical decision-making information from these human sources along with their traditional advanced analytical data.
How will it help?
Let’s say, as per your historical data & analytics; the dashboard is recommending prod-A, prod-B & prod-C as the top three products for potential top-performing brands. At the same time, you are getting some alerts from the TV news on prod-B due to the recent incidents. So, in that case, you don’t want to continue with the prod-B investment. You may find a new product named prod-Z. That may reduce the risk of your investment.
I hope now it makes more sense for this solution. :)
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#python #ChainLang #FAISS #OpenAI #Python3 #YouTubeDataAPI #future #facebook #framework
