🎭 Emotion Detection App

Live app: 🔗 Open Live App (Streamlit)

📖 Overview

The Emotion Detection App is an NLP-powered web application that predicts the underlying emotion in user input text.
It is built using TF-IDF + Logistic Regression, achieving 85% accuracy 🎯.

✨ Features :

🎨 Clean & modern Streamlit UI 😃 Six supported emotions: Joy, Sadness, Anger, Fear, Surprise, Love 🤖 Emoji-based prediction for better visualization ☁️ Deployed on Streamlit Community Cloud

⚙️ Installation & Usage

Clone the repository

git clone https://github.com/YOUR_USERNAME/EmotionDetect.git cd EmotionDetect

Install dependencies

pip install -r requirements.txt

Run the app locally

streamlit run app.py

🧠 How It Works

1. Input text is preprocessed and converted into vectors using TF-IDF
2. Logistic Regression classifies the text into one of six emotions
3. The app displays the predicted emotion with an emoji

🚀 Deployment This project is deployed on Streamlit Community Cloud. 👉 https://emotiondetect-2ysbluimrqdsuvqh87qbz4.streamlit.app/

📌 Future Improvements

• Add more emotions & larger datasets
• Deploy with Docker / Hugging Face Spaces
• Use Transformers (BERT, RoBERTa) for higher accuracy

👨‍💻 Author Made by Krish (https://github.com/Krish00711)