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--- |
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datasets: |
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- semeru/code-code-CodeCompletion-TokenLevel-Python |
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metrics: |
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- perplexity |
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base_model: |
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- openai-community/gpt2 |
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--- |
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# Python Code Completion Model (GPT-2) |
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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. |
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## Project Overview |
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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. |
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## Features |
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- Model: GPT-2 based, Python code completion |
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- Dataset: semeru/code-code-CodeCompletion-TokenLevel-Python |
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- Web Interface: Streamlit |
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- Platform: HuggingFace |
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- Code Completion: Automatic Python code suggestions |
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## Installation |
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### 1.Clone the repository: |
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git clone https://github.com/your_username/code-completion-model.git |
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cd code-completion-model |
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### 2.Install the required dependencies: |
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pip install -r requirements.txt |
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### 3.To upload your model to HuggingFace, you can use transformers-cli: |
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transformers-cli login |
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transformers-cli upload ./path_to_your_model |
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### 4.Start the Streamlit app: |
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streamlit run app.py |
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### Contributers |
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Talha Dağlayan - talhad1109@hotmail.com |
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Ramiz Can Akbıyık - ramizcanakbiyik@gmail.com |
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