Emous V1 [best] -

git clone https://github.com/your-repo/emous.git cd emous make ./emous --input "The world is quiet here." # Output: Vector [0.12, 0.05, 0.88, ...] :: STATE: SERENE

: Because it runs entirely via browser-based emulation, it bypasses the need for complex hardware setups or local emulator installations. Technical and Educational Value EmuProjects - Emupedia emous v1

Since "emous" implies a focus on emotion, sentiment, or a minimalistic state of being, this write-up frames it as a lightweight, open-source sentiment analysis framework or a digital art protocol. Adjust the technical specifics as needed to fit your actual project. git clone https://github

| V1 (Current) | V2 (Planned) | |--------------|----------------| | Single emotion | Mixed emotion vectors | | No temporal memory | LSTM-based emotion history | | 7 emotions | 12 emotions (incl. contempt, interest, confusion) | | CPU/GPU only | NPU + microcontroller support | | English only | 5 languages (en, es, zh, ar, hi) | or a minimalistic state of being

Input Streams │ ├─► Video Module (FaceNet-based) ├─► Audio Module (wav2vec2 fine-tuned) └─► Text Module (DistilBERT) │ ▼ Fusion Layer (Attention-based) │ ▼ Emotion Predictor (Softmax over 7 classes) │ ▼ [JSON Output] "emotion": "joy", "confidence": 0.87

text_emotion = model.predict_text("I can't believe I won the lottery!") print(text_emotion) # "surprise"