pycamera, ..., mp4, streaming api to HumeAI return example: [{'name': 'Admiration', 'score': 0.04051987826824188}, {'name': 'Adoration', 'score': 0.009848205372691154}, {'name': 'Aesthetic Appreciation', 'score': 0.07604563981294632}, {'name': 'Amusement', 'score': 0.021876158192753792}, {'name': 'Anger', 'score': 0.002392953261733055}, {'name': 'Annoyance', 'score': 0.020589718595147133}, {'name': 'Anxiety', 'score': 0.0038202449213713408}, {'name': 'Awe', 'score': 0.03062158264219761}, {'name': 'Awkwardness', 'score': 0.015123735181987286}, {'name': 'Boredom', 'score': 0.10465148836374283}, {'name': 'Calmness', 'score': 0.14533281326293945}, {'name': 'Concentration', 'score': 0.05680052563548088}, {'name': 'Confusion', 'score': 0.14072860777378082}, {'name': 'Contemplation', 'score': 0.08013628423213959}, {'name': 'Contempt', 'score': 0.019430125132203102}, {'name': 'Contentment', 'score': 0.06073099002242088}, {'name': 'Craving', 'score': 0.006501526106148958}, {'name': 'Determination', 'score': 0.010847826488316059}, {'name': 'Disappointment', 'score': 0.01760883629322052}, {'name': 'Disapproval', 'score': 0.009595056995749474}, {'name': 'Disgust', 'score': 0.003568764077499509}, {'name': 'Distress', 'score': 0.004913835320621729}, {'name': 'Doubt', 'score': 0.020732788369059563}, {'name': 'Ecstasy', 'score': 0.0070318495854735374}, {'name': 'Embarrassment', 'score': 0.002762148156762123}, {'name': 'Empathic Pain', 'score': 0.004658285528421402}, {'name': 'Enthusiasm', 'score': 0.020970847457647324}, {'name': 'Entrancement', 'score': 0.029176874086260796}, {'name': 'Envy', 'score': 0.009052899666130543}, {'name': 'Excitement', 'score': 0.011401181109249592}, {'name': 'Fear', 'score': 0.0018732709577307105}, {'name': 'Gratitude', 'score': 0.007437469437718391}, {'name': 'Guilt', 'score': 0.0009437649860046804}, {'name': 'Horror', 'score': 0.0012521253665909171}, {'name': 'Interest', 'score': 0.10246434807777405}, {'name': 'Joy', 'score': 0.016914378851652145}, {'name': 'Love', 'score': 0.0034126662649214268}, {'name': 'Nostalgia', 'score': 0.008389955386519432}, {'name': 'Pain', 'score': 0.004401583690196276}, {'name': 'Pride', 'score': 0.012128319591283798}, {'name': 'Realization', 'score': 0.076319120824337}, {'name': 'Relief', 'score': 0.01443533692508936}, {'name': 'Romance', 'score': 0.0022930167615413666}, {'name': 'Sadness', 'score': 0.006305092945694923}, {'name': 'Sarcasm', 'score': 0.018501555547118187}, {'name': 'Satisfaction', 'score': 0.07013726979494095}, {'name': 'Desire', 'score': 0.004992782603949308}, {'name': 'Shame', 'score': 0.004370391834527254}, {'name': 'Surprise (negative)', 'score': 0.028048569336533546}, {'name': 'Surprise (positive)', 'score': 0.05226348340511322}, {'name': 'Sympathy', 'score': 0.007420244161039591}, {'name': 'Tiredness', 'score': 0.02038390189409256}, {'name': 'Triumph', 'score': 0.02609831653535366}];
rank and take the top3
Browser?
- camera.py ==> Camera to HUME API
- visualize.py ==> visualize the emotion (animation, small game, digital arts, sora ...??)
- prompts.py ==> Admiration, Adoration, happiness, Prompt: I am playing the game and generate the music based on my emotion status? {emotion1} {emotion2} {emotion3} Open Prompt Lookup Dictionary
- music_gen.py ==> input prompts and output background audio, suno api / musicLM
- audio player
VR??????
Texas Holdem :::: github source code...