Create README.md

README.md

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+---
+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
+