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Human Emotions Detection App

Overview

This is a simple Streamlit web application for detecting six human emotions (Joy, Fear, Anger, Love, Sadness, Surprise). The app uses machine learing and deep learning models trained on preprocessed text data.

Requirements

Make sure you have the required packages installed:

pip install scikit-learn==1.3.2
pip install streamlit numpy nltk
pip install tensorflow==2.15.0
## Usage
# Model and Files
The app uses the following saved files:

logistic_regresion.pkl: Pickle file containing the logistic regression model.
tfidf_vectorizer.pkl: Pickle file containing the TF-IDF vectorizer.
label_encoder.pkl: Pickle file containing the label encoder.
## Functionality
Enter text in the input box.
Click the "Predict" button to see the predicted emotion and probability.

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