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# Steps to Run the Model
1. **Clone the Repository**:
Open your command line interface (CLI) and clone the repository using:
```bash
git clone https://huggingface.co/webslate/transactify
```
2. **Create the Virtual Environment**:
Navigate to the project directory and create a virtual environment:
```bash
python -m venv transactify_venv
```
3. **Activate the Virtual Environment**:
To activate the virtual environment, follow these steps:
- Open your command line interface (CLI).
- Type the following commands:
```bash
cd transactify_venv
cd Scripts
activate
```
4. **Install Required Libraries**:
After activating the virtual environment, install the necessary libraries by typing:
```bash
pip install -r requirements.txt
```
5. **Run the Data Preprocessing Code**:
Execute the data preprocessing script by typing:
```bash
python data_preprocessing.py
```
6. **Run the LSTM Model Code**:
Train the LSTM model by executing:
```bash
python LSTM_model.py
```
7. **Generate the H5 File**:
After training, you can generate the model file (`transactify.h5`).
8. **Run the Prediction Code**:
To make predictions using the trained model, type:
```bash
python main.py
```
Following these steps will set up and run the Transactify model for predicting transaction categories based on descriptions.
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