2. OpenAI Whisper - Fed Speech Recognition 

Like the video? Support my content by checking out Interactive Brokers using the link below: www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 I will be starting a spinoff channel on AI in music, art, and gaming in 2023. Subscribe at: youtube.com/@parttimeai Source Code: colab.research.google.com/drive/1vJj6EW0nKi3olLb5nOccA4ypkKx-x4Hr#scrollTo=xUot3GYB64tv gist.github.com/hackingthemarkets/c6ca7834d2af4932e3ab0d847679c14e

Makes my blood pressure go crazy - so many great possibilities! This is insane, unique! One-time chance to contribute to this world in a unique way!

Outstanding OpenAI Whisper demonstration! Well done! Great job! Thank you.

The implication of this application is beyond our imagination. Thanks for this great content.

Another great job Larry. Love the enthusiasm, curiosity and display if patience in your content. A natural teacher!

Larry - A sincere thank you for teaching us all about how to use machine learning models like OpenAI Whisper. In particular, I also learned a lot from the Google Colab which was incredibly helpful. 👍 Can't wait to see what you build next.

incredible stuff mate! thanks

Thank you so much, Larry.

I got really inspired watching your videos! Great job!

What a amazing tutor. I like your style to make it understandable for everyone. Many Thanks.

thank you Larry for all informations and for your pedagogy, i love your videos

I was looking to transcibe some of my audio for script writing. This looks great.

I'm learning so much from you, Larry. Thank you so much!

Larry, thank you for all your hard work. I'm really looking forward to seeing the next videos!

sweeeet! gonna be auto-trading futes by the next fomc!!!

Thank you Larry for the priceless information you provide everytime!

Fantastic, Larry👌💯 TYVM bro. 🤝

Thats interesting. I am not into finance but what you showed is applicable to a ton of stuff. Wish i had more time.. So many interesting things going on.

Looking forward to more OpenAI videos from you, Larry. Gonna spend sometime watching and learning. Cheers!

Excellent approach ❣ ! Thank you for sharing ! More interesting could be scanning if there's any speech available and live stream interacting :D !! Thank you for the video !

Incredible work! Thanks a lot

Impressive and scary 😜. Very nice approach.

Very impressive

that was really interesting to watch! thank youu

Excited for the series!! Would love to see something that writes in depth research reports from a mix of DaVinci, web scrapers for non-intuitive data, and ChatGPT for output and language finesse

Great video. Thanks Larry!

larry, when discord? so we can all digitally hangout in and hack the markets ;)

Go Larry your a badass....Respect

Thanks for this!

This is phenomenal, thank you!

Interesting! Well done. I believe you could take keywords from the speach and if these keywords appear in upcoming speaches you could open positions based on that.

Love the content Larry

thank you so much. This video is amazing

amazing. can't wait for the next tutorial.

Thank you Larry!

Great work! 🤗

Great content again mate!

Great video

If anyone is getting an issue retrieving the YT video data using pytube, you will need to authenticate by using this code: youtube_video = RU-vid(youtube_video_url, use_oauth=True, allow_oauth_cache=True) it will ask you to enter a code visible in the terminal, log in to YT and then you should be good to go.

make more cool videos like this I learned a lot

Awesome video, even though I am not into finance. Subscribed

Great content! Would be great if you could follow up in another video with action taken from your analysis. I.e run the models to decide what to do with that information and compare it with what really happened

You're awesome. Thank you!

Beautiful work, thank you!

This is super aweome!

Really love your commitment to building in public for all of us. Thanks for all of your efforts do you have a patreon so I can support you for your efforts.

it will be so good to see significant forks - models will get better and the tech keeps advancing so they will try to go more for profit but the masses may be able to spawn competitors - things happen

Very clear tutorial ty

Been using OpenAI a bunch lately as well. Pretty useful for figuring out regex or sql queries with human language or for writing some template/boilerplate code. An efficient search engine rather than combing through stack overflow, or instead of reading through the docs for integrating between Snowflake and Python 😅

AMAZING!!!

Larry, please host any reference documents in open environements.. Google will not let me access your colab and I prefer to stay away from evil oligopolies as much as I can. ;-) .. you provide great instruction videos! Thank you

Now to correlate this with actual actions and things like IQ, moral foundations, etc, and predicting people's actions, at least in specific instances, can't be too hard, right?

This is just amazing, thanks for sharing! If I wanted a more complete TL;DR, how many would you say.. 4000?

wow quickest pivot ever

Wow❤

Holly shit, cant believe I understand all of it 😂

my company did this with fed minutes in 2016, this has been done

Very good comments Larry Page

I would be more impressed if you had a bot trading off the speech, which is possible, and tricky. But nice intro. I have an incident management background and I always wanted to have a bot write an hourly update based on a conference call.

This is amazing content as you can save yourself a huge ammount of time (earnings script screening). Is it possible to apply this to streaming data? Powell speech live?

When the Fed has an AI talking to us... look out. Or is one already talking to us.... oh oh...

Great Video! Would be awesome if you could make a video how to do a text analysis with python an AI.

Great video!

This is so fuckin epic lmao

I like the idea you provided, will you do another with live data? Because all these calls are mostly affecting the live stock price.

Great job and application of speech has the limitation of understanding humans are not exactly transparent therefore speech values have to be discounted for such fact?

dude.. awesome. how difficult you think it would be to find a way to do this live.. think it would be advised to find a way to do as much in say, C++ in order to get the job done optimally?

Firstttt!! ❤

Is there a reason you didn't just fetch the RU-vid transcript using, I think you used PyTube. That can fetch the "Captions", which is the transcript. It's got no sentences, and poor punctuation. Is Whisper better?

This is amazing! Is there a way to transcribe a conversation using Open AI Whisper and also diarization it?

Great tutorial Larry! Could you explain how to get the second int object into a DataFrame without looping into the S&P data? Basically just turning the second object into a DataFrame by itself. I believe the part is at 17:45ish.

I have a small project I like to use your codes in this video. Please let me know how to credit you. Thanks!

Would be amazing to use this with ICT's content

slay

would pytube work on a live stream? it'd be cool to embed as the stream is released. then we could just periodically ping a bunch of channels of interest for going live and start listening when they do

Hi Larry, I have a big question. I just ran the code in the colab link you provided. But seems we don't have to provide the OPENAI-API-KEY, so it's free? I am confused.

Do you happen to know of an open source framework that extracts emotion from audio? The audio to speech processing loses it completely beyond usage of “sentiment words”. Especially in application to earnings announcements, where significant amount of text has been prepared, such quintessentially audio aspect might be of interest in evaluating, say, the difference in confidence between different speakers or during reading different parts of the presentation.

Thanks for this amazing tutorial, Larry! How do I replace the input to a Podcast URL? Thanks.

Screw Powell

also make a discord!

If you're in the advanced AI training or inference space, and you're working on OpenAI APIs, you're already dead...

Hi, how to enable GPU while running code on local PC? Mine is using CPU by default (I see it on task manager, also I get prompt: warnings.warn("FP16 is not supported on CPU; using FP32 instead"). I have already made some research- (os.environ['CUDA_VISIBLE_DEVICES'] = '0') but it does not make any difference. Its still running on CPU.

please use dark mode if you have full white screen - otherwise it's not watchable for anyone who isn't watching in broad daylight

Would you share that part of code where realtime transcription is in action (how to properly break and send audio data pieces to whisper so that transcription is not far behind)? Thank you.

I followed you all the way to the csv file and I couldnt get the next line to accept the format 😵

Too bad both the feds press announcement and stock earnings calls are already transcribed. Not really a necessary application of this, but interesting nonetheless.

english only?

All I can hear is your cop talking over my cellular network As if I were a moron. As if I cared what he thought of my medical records. Which makes me wonder how he has a copy of my medical records.

I received an error at "spy['percent'] = ((spy['close'] - spy['open']) / spy['open']) * 100" how can this be fixed

This fails for me in colab notebook at the point where it tries to run youtube_video.streams: "AttributeError: 'NoneType' object has no attribute 'span'".