| --- |
| datasets: |
| - semeru/code-code-CodeCompletion-TokenLevel-Python |
| metrics: |
| - perplexity |
| base_model: |
| - openai-community/gpt2 |
| --- |
| |
| # Python Code Completion Model (GPT-2) |
|
|
| This project contains a web-based interface for a Python code completion model developed using HuggingFace. The model is based on GPT-2 and trained on the semeru/code-code-CodeCompletion-TokenLevel-Python dataset. Users can interact with the model via a Streamlit web interface. |
|
|
| ## Project Overview |
|
|
| This project aims to develop a model for automatic Python code completion. The GPT-2 model used here has been optimized to understand and complete Python code. The model analyzes the code written by the user and suggests relevant completions. |
|
|
| ## Features |
|
|
| - Model: GPT-2 based, Python code completion |
| - Dataset: semeru/code-code-CodeCompletion-TokenLevel-Python |
| - Web Interface: Streamlit |
| - Platform: HuggingFace |
| - Code Completion: Automatic Python code suggestions |
|
|
| ## Installation |
|
|
| ### 1.Clone the repository: |
|
|
| git clone https://github.com/your_username/code-completion-model.git |
| cd code-completion-model |
| |
| ### 2.Install the required dependencies: |
| |
| pip install -r requirements.txt |
| |
| ### 3.To upload your model to HuggingFace, you can use transformers-cli: |
| |
| transformers-cli login |
| transformers-cli upload ./path_to_your_model |
|
|
| ### 4.Start the Streamlit app: |
|
|
| streamlit run app.py |
|
|
| ### Contributers |
|
|
| Talha Dağlayan - talhad1109@hotmail.com |
| Ramiz Can Akbıyık - ramizcanakbiyik@gmail.com |
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