Sentiment Analysis Annotation Tool

This tool is designed to facilitate sentiment analysis annotation tasks. It provides the following features:

Annotation with auto-annotation: You can manually annotate sentiment labels for text data. Additionally, there is an option for auto-annotation that automatically assigns sentiment labels based on a pre-trained model.
Generate Data: You can generate synthetic data for sentiment analysis tasks.
Auto EDA (still in development): Automatic Exploratory Data Analysis (EDA) functionality is being developed to provide insights and visualizations for the annotated data.

Setup

Clone the repository:

git clone https://github.com/rubythalib33/Text-classification-annotation-tool

Navigate to the project directory:
```
cd Text-classification-annotation-tool
```
install the requirements
```
pip install -r requirements
```
Create a .env file in the project directory and add the following line, replacing <YOUR_OPENAI_API_KEY> with your actual OpenAI API key:
```
OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>
```

To start the application, run the following command:

streamlit run app.py

hope this project help you..