title: Lexicon (clean) emoji: 📚 colorFrom: blue colorTo: indigo sdk: docker app_port: 7860 pinned: false
Live Space: Hugging Face - Lexicon App
hf upload --repo-type space maridanilo/lexicon-clean . . --exclude 'env/*' '__pycache__/*' '.git/*' --commit-message 'Update' git remote add hf-clean https://huggingface.co/spaces/maridanilo/lexicon-clean git push hf-clean mainOpen the Space → Logs to confirm build/runtime status.
Lexicon_Project is an application designed to assist users in understanding programming language concepts through AI-driven explanations and examples. It enhances learning by providing related links and terms, making complex coding terminology more accessible.
The Lexicon_Project leverages a machine learning model to interpret and respond to user queries regarding programming terms. It not only offers clear explanations and relevant examples but also suggests additional resources to deepen the user's understanding. This interactive tool is ideal for both novice and experienced programmers seeking to expand their technical vocabulary.
The model utilizes a dataset maintained by Antoine Bourgois, which is continuously updated to reflect the latest in AI and programming terminologies. The dataset can be accessed on Kaggle.
Ensure you have the following Python libraries installed:
- streamlit
- pandas
- sklearn.metrics.pairwise (part of scikit-learn)
- plotly.graph_objects
Install the required dependencies via pip:
pip install streamlit pandas scikit-learn plotly
To run the application, execute the following command in your terminal:
streamlit run main.pyReplace main.py with the path to the script if your setup requires it.
Contributions to the Lexicon_Project are welcome! Please refer to the project's issues tracker to report bugs or suggest enhancements.
