Emotion Detection

This project trains a Logistic Regression classifier to detect emotions in text and provides a simple web demo using Streamlit.

Usage

Install the requirements:
```
pip install -r requirements.txt
```
Download the spaCy language model (required before running train_model.py or the Streamlit demo):
```
python -m spacy download en_core_web_sm
```
Train the model (this creates best_model.pkl):
```
python train_model.py
```
model.predict() will raise an error if this file is missing, so be sure to run the training script before using the app or the library functions.
Run the demo app:
```
streamlit run app.py
```

The training data is provided in text_emotions.csv.

Name		Name	Last commit message	Last commit date
.devcontainer		.devcontainer
.gitignore		.gitignore
Emotion_Detection_from_Text.ipynb		Emotion_Detection_from_Text.ipynb
README.md		README.md
app.py		app.py
best_model.pkl		best_model.pkl
config.py		config.py
model.pkl		model.pkl
model.py		model.py
preprocess.py		preprocess.py
requirements.txt		requirements.txt
test.csv		test.csv
text_emotions.csv		text_emotions.csv
train.csv		train.csv
train_bert.py		train_bert.py
train_model.py		train_model.py
upload_to_hub.py		upload_to_hub.py
vectorizer.pkl		vectorizer.pkl