---
license: mit
language:
- pt
- en
library_name: keras
pipeline_tag: translation
---
# AIron-Trans-PT2EN

## License
- MIT

## Overview
AIron-Trans-PT2EN is a Portuguese to English translation model developed using the Keras library.

## Description
AIron-Trans-PT2EN is a translation model that allows you to translate phrases and texts from Portuguese to English. It has been trained using the Long Short-Term Memory (LSTM) neural network architecture and implemented using the Keras library.

## Features
- Translation from Portuguese to English
- Model trained using the Keras library
- LSTM architecture for better contextual understanding
- Text preprocessing for improved translation quality

## Usage
You can use this translation model in your own projects by following the instructions below:

1. Install the necessary dependencies (Keras, TensorFlow, etc.).
2. Load the trained model using the `load_model()` function from Keras.
3. Preprocess input sentences using the same preprocessing steps used during training.
4. Call the `translate_sentence()` function to get the translation of the input sentence.

Code example:

```python
from tensorflow import keras

# Load the model
model = keras.models.load_model('path/to/model.h5')

# Preprocess the input sentence
preprocessed_sentence = preprocess_sentence('Olá, como vai?')

# Translate the sentence
translated_sentence = translate_sentence(preprocessed_sentence, model)

print(translated_sentence)
```
## Contribution
If you encounter any issues, have ideas for improvements, or would like to contribute to this project, feel free to open an issue or submit a pull request. We welcome contributions!

## Acknowledgments
We would like to thank all contributors who helped develop and improve this translation model.