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Streamlit based app to provide a frontend interface for a Machine Learning model to predict sales.

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Brisa-streamlit

This project deploys a Streamlit interface for predicting sales using a machine learning model.

Installation

  1. Clone the repository: git clone https://github.com/hentzrafael/brisa-streamlit.git
  2. Change into the project directory: cd <project_directory>
  3. Install the required dependencies: pip install -r requirements.txt

Usage

  1. Run the Streamlit app: streamlit run main.py
  2. Open your web browser and go to http://localhost:8501

Contributing

  1. Fork the repository
  2. Create a new branch: git checkout -b <branch_name>
  3. Make your changes and commit them: git commit -m 'Add some feature'
  4. Push to the branch: git push origin <branch_name>
  5. Submit a pull request

License

This project is licensed under the MIT License. See the LICENSE file for more details.

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Streamlit based app to provide a frontend interface for a Machine Learning model to predict sales.

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  • Python 100.0%