README.md

metadata

title: E-motionAssistant API
emoji: 🌍
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false

Multilingual Text Emotion Recognition App

English • සිංහල • தமிழ்

This is a simple web app that detects emotions from text in three languages:

• English → Logistic Regression + TF-IDF (classical ML model)
• Sinhala → Finetuned transformer model
• Tamil → Finetuned transformer model

Supported Languages & Models

Language	Model Type	Repository on Hugging Face
English	TF-IDF + Logistic Regression	E-motionAssistant/Englsih_Trained_Model_LR
Sinhala	Finetuned Transformer	E-motionAssistant/SInhala_Text_Emotion_Recognition_Model
Tamil	Finetuned Transformer	E-motionAssistant/Tamil_Emotion_Recognition_Model

How to Use

1. Go to one of the tabs (English / සිංහල / தமிழ்)
2. Type or paste your text/message/tweet
3. The app will show the predicted emotion + confidence score

Examples

• English: "I hate mondays so much" → likely sadness or anger
• Sinhala: "මම ගොඩක් දුකින් ඉන්නවා" → likely sadness
• Tamil: "எனக்கு ரொம்ப கோபமா இருக்கு" → likely anger

Technical Notes

• Built with Gradio (v4.44.0)
• Models are downloaded from Hugging Face at startup (using hf_hub_download and pipeline)
• Uses Python 3.11 to avoid compatibility issues
• No GPU required — runs on CPU

Want to run locally?

git clone https://huggingface.co/spaces/YOUR_USERNAME/Space4
cd Space4
pip install -r requirements.txt
python app.py