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๐Ÿ‘€ I built an AI NBA ๐Ÿ€ commentator using OpenAI Vision API + TTS magic in 15min. Clip taken from when Damian Lillard ended PG's career with the game winner in 2019. Same pipeline can be applied for any highlights and buzzerbeaters.

223,642 Aufrufe โ€ข vor 2 Jahren โ€ขvia X (Twitter)

10 Kommentare

Profilbild von Alex Ker ๐Ÿ”ญ
Alex Ker ๐Ÿ”ญvor 2 Jahren

๐Ÿฅน

Profilbild von Alex Ker ๐Ÿ”ญ
Alex Ker ๐Ÿ”ญvor 2 Jahren

My heart is full:) If you enjoyed this, follow @thealexker for more on applied AI, startups, and project insights and let's learn together. High-signal content only, no fluff.

Profilbild von ๐Ÿ‡บ๐Ÿ‡ธTERRENCE ๐Ÿ‡บ๐Ÿ‡ธ
๐Ÿ‡บ๐Ÿ‡ธTERRENCE ๐Ÿ‡บ๐Ÿ‡ธvor 2 Jahren

Only thing missing is excitement and "from deep"

Profilbild von Alex Ker ๐Ÿ”ญ
Alex Ker ๐Ÿ”ญvor 2 Jahren

Yes!

Profilbild von Justin Halford
Justin Halfordvor 2 Jahren

With proper intonation and a little bit cleaner choice of phrasing, this is a killer product! Great job ๐Ÿ”ฅ

Profilbild von Alex Ker ๐Ÿ”ญ
Alex Ker ๐Ÿ”ญvor 2 Jahren

Thanks Justin! Iโ€™m just surprised the default text to voice is already so natural albeit a bit emotionless

Profilbild von chance
chancevor 2 Jahren

Would be even cooler to delay video by a couple frames so the commentator can prepare with enthusiasm

Profilbild von Alex Ker ๐Ÿ”ญ
Alex Ker ๐Ÿ”ญvor 2 Jahren

Itโ€™s hard to get the timing right but ideally they would talk a little faster

Profilbild von jeffw
jeffwvor 2 Jahren

Honestly SO good! Dagger. ๐Ÿ—ก๏ธ No trouble with gpt-4-vision rate limits?

Profilbild von Alex Ker ๐Ÿ”ญ
Alex Ker ๐Ÿ”ญvor 2 Jahren

fixing the rate limit is most of the work haha. at 30fps I sample every 150frames or every 5 seconds to get around it. also the video is short so there isn't a lot of output tokens. the limit is 10k/min atm.

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