V1: Emous

As this is v1, there are known constraints:

: Classic versions of Paint , Winamp , and even the helpful (or persistent) Clippy .

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

pip install 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.

| 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) |

The core library is written in pure C with zero external dependencies. This makes emous ideal for integration into IoT devices, smart home hubs, or legacy systems where a GPU is unavailable. emous v1

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

: Software that has been orphaned by its original developers or released as limited trials.

Stable Release Date: October 2023

The name "emous" is derived from the suffix -emous (meaning "full of") and the root emotion , signifying a system built to be "full of feeling" while remaining structurally simple.

: Upon visiting Emupedia , users can choose between simulated versions of classic operating systems like Windows 95, Windows 98, or Windows ME .