nainiayoub/emotion-classifier-web-app

Implements a preprocessing pipeline with CountVectorizer for feature extraction and scikit-learn's modeling framework, classifying text into six discrete emotions (joy, sadness, anger, fear, surprise, disgust). Beyond classification, integrates multimodal input through Google Text-to-Speech API and speech recognition for both uploaded and real-time recorded audio, plus named entity recognition via spaCy and multilingual translation capabilities. Deployed as an interactive Streamlit application handling end-to-end workflows from raw text normalization through model inference.

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