A Streamlit-based tool to classify industrial automation test cases using LDA Topic Modeling.
The app allows users to upload test cases in CSV format, preprocesses text, applies NLP techniques, and displays topic-labeled outputs with interactive graph visualization.
- Upload test case
.csv
files - Clean and preprocess text using NLP
- Apply LDA topic modeling using
scikit-learn
- Interactive topic graphs using
PyVis
- Streamlit-based user interface
- Visualize relationships between topics and test cases
git clone https://github.com/YourUsername/AI-Test-Case-Classifier.git
cd AI-Test-Case-Classifier
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt