Talk to Transformer VS FuzzyWuzzy

Can you do one on Stable Diffusion and talktotransformer.com? Source: over 1 year ago

So... This is from https://app.inferkit.com/demo which is where talktotransformer.com redirects to now. But my output isn't formatted like the screenshots I see. So, what url are y'all using? Source: over 2 years ago

#1: Top 10 Signs a Nuclear Missile Is Heading Your Way | 4 comments #2: At >$2500 per month, I can no longer sustain this site without a sponsor. If you'd like to present your product or service here, please email me. | 6 comments #3: "I am a real gamer" -Trump | 19 comments. Source: almost 3 years ago

There is a website called talktotransformer.com (which now links to https://app.inferkit.com/demo ) which writes a story with AI based off of a few words that you give to it. People had fun entering various things into that site. Source: almost 3 years ago

#1: At >$2500 per month, I can no longer sustain this site without a sponsor. If you'd like to present your product or service here, please email me. | 6 comments #2: Top 10 Signs a Nuclear Missile Is Heading Your Way | 4 comments #3: "I am a real gamer" -Trump | 19 comments. Source: almost 3 years ago

Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago

Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago

It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago

You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago

To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago