Steps to Run the Model

Clone the Repository:
Open your command line interface (CLI) and clone the repository using:
```
git clone https://huggingface.co/webslate/transactify
```
Create the Virtual Environment:
Navigate to the project directory and create a virtual environment:
```
python -m venv transactify_venv
```
Activate the Virtual Environment:
To activate the virtual environment, follow these steps:
- Open your command line interface (CLI).
- Type the following commands:
```
cd transactify_venv
cd Scripts
activate
```
Install Required Libraries:
After activating the virtual environment, install the necessary libraries by typing:
```
pip install -r requirements.txt
```
Run the Data Preprocessing Code:
Execute the data preprocessing script by typing:
```
python data_preprocessing.py
```
Run the LSTM Model Code:
Train the LSTM model by executing:
```
python LSTM_model.py
```
Generate the H5 File:
After training, you can generate the model file (transactify.h5).
Run the Prediction Code:
To make predictions using the trained model, type:
```
python main.py
```

Following these steps will set up and run the Transactify model for predicting transaction categories based on descriptions.