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zaibutcooler
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Parent(s):
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continuing project
Browse files- .github/workflows/hugging-face.yaml +20 -0
- .github/workflows/unit-test.yaml +25 -0
- CONTRIBUTING.md +0 -56
- space.py +1 -1
- tests/test_dataloader.py +2 -0
- tests/test_tokenizer.py +15 -0
.github/workflows/hugging-face.yaml
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name: Uploading on Huggingface
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on:
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push:
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branches: [main]
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workflow_dispatch:
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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with:
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fetch-depth: 0
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lfs: true
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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HF_USERNAME: zaibutcooler
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SPACE_NAME: yume
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run: git push https://${{ secrets.HF_USERNAME }}:[email protected]/spaces/$HF_USERNAME/$SPACE_NAME main
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.github/workflows/unit-test.yaml
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name: Unit Tests
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on:
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push:
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branches:
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- "main"
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jobs:
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test:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v2
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- name: Set up Python
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uses: actions/setup-python@v2
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with:
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python-version: 3.x
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- name: Install dependencies
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run: pip install -r requirements.txt
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- name: Run tests
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run: python -m unittest discover tests
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CONTRIBUTING.md
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# Contributing to burmese_gpt
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Thank you for considering contributing to burmese_gpt! Please take a moment to review the following guidelines.
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## Code of Conduct
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This project and everyone participating in it are governed by the [Code of Conduct](CODE_OF_CONDUCT.md). By participating, you agree to uphold this code. Please report unacceptable behavior to [your email or a dedicated email for issues].
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## How to Contribute
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1. Fork the repository.
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2. Clone the forked repository to your local machine:
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```bash
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git clone https://github.com/zaibutcooler/burmese_gpt.git
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```
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3. Create a new branch for your feature or bug fix:
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```bash
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git checkout -b feature-name
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```
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4. Make your changes and commit them with a descriptive commit message:
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```bash
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git add .
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git commit -m "Add your descriptive message here"
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```
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5. Push the changes to your fork:
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```bash
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git push origin feature-name
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```
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6. Create a pull request (PR) from your fork to the main repository.
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7. Ensure your PR title and description are clear and concise.
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## Reporting Issues
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If you find any issues or have suggestions, please open an issue on the [Issue Tracker](https://github.com/zaibutcooler/burmese_gpt/issues).
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## Style Guide
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- Follow the existing coding style.
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- Use meaningful variable and function names.
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- Write clear and concise documentation.
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## License
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By contributing, you agree that your contributions will be licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
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Thank you for contributing to burmese_gpt!
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space.py
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import streamlit as st
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def main():
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st.title("
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video_source = st.sidebar.radio("Select feature:", ("Audio Generator", "Text Predictor",))
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import streamlit as st
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def main():
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st.title("Burmese GPT")
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video_source = st.sidebar.radio("Select feature:", ("Audio Generator", "Text Predictor",))
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tests/test_dataloader.py
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from ..burmesegpt import Data
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def check_loader():
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pass
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def check_output_dim():
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pass
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from ..burmesegpt import Data
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def check_loader():
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pass
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def check_output_dim():
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pass
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tests/test_tokenizer.py
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import unittest
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import torch
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class TestTokenizer(unittest.TestCase):
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def test_downloading(self):
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url = ""
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pass
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def test_loading(self):
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pass
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if __name__ == "__main__":
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unittest.main()
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