---
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

# Track large files with Git LFS

git lfs track "assets/models/_.dat"
git lfs track "assets/models/_.pt"

# Add the .gitattributes file and commit it

git add .gitattributes
git commit -m "Track large files with Git LFS"

# Add your large files and commit them

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 "Add large files"

# Add remaining files, commit, and push

git add .
git commit -m 'pre-launch'
git push origin main --force