README.md

metadata

title: Multi-Modal for Emotion and Sentiment Analysis (MMESA)
emoji: 😀😲😐😥🥴😱😡
colorFrom: blue
colorTo: pink
sdk: gradio
sdk_version: 4.24.0
app_file: app.py
pinned: false
license: mit
short_description: A tool to detect Stress, Anxiety and Depression

Technologies

This project utilizes various Python scripts for different aspects of analysis and recognition:

• blink_detection.py: Detects and analyzes blinking patterns.
• body_movement_analysis.py: Analyzes body movements.
• emotion_analysis.py: Analyzes emotional states.
• face_expressions.py: Recognizes facial expressions.
• FACS_analysis_sad.py: Performs Facial Action Coding System analysis for sadness.
• gaze_estimation.py: Estimates gaze direction.
• head_posture_detection.py: Detects head posture.
• heart_rate_variability.py: Analyzes heart rate variability.
• posture_analysis.py: Analyzes posture.
• roberta_chatbot.py: Chatbot using the RoBERTa model.
• sentiment_analysis.py: Performs sentiment analysis.
• skin_analysis.py: Analyzes skin conditions.
• sleep_quality.py: Evaluates sleep quality.
• speech_emotion_recognition.py: Recognizes emotions from speech.
• speech_stress_analysis.py: Analyzes stress levels from speech.

These scripts combine to provide comprehensive analysis capabilities for various aspects of human behavior and physiology.

Upload Trick to HG

git lfs track ".dat" && git lfs track ".pt" && git add .gitattributes && git add assets/models/shape_predictor_68_face_landmarks.dat && git add assets/models/FER_dinamic_LSTM_IEMOCAP.pt && git add assets/models/FER_static_ResNet50_AffectNet.pt && git commit -m 'bigfiles' && git push origin main --force

git add . && git commit -m 'pre-launch' && git push