TCG is a Streamlit application designed for generating test cases based on uploaded files or user-provided requirements. It utilizes a combination of language processing techniques and AI models to automate the test case generation process, saving time and effort for software engineers, business analysts, AI developers, and data analysts.
- File Upload: Users can upload files in various formats such as PDF, DOCX, or TXT, containing project requirements or summaries.
- Requirements Input: Alternatively, users can input their requirements directly into the application for test case generation.
- AI-Powered Test Case Generation: The application uses AI models, including OpenAI, to generate test cases based on the uploaded files or user-provided requirements.
- Text Extraction: Supports text extraction from PDFs, DOCX, TXT files, and images using OCR (Optical Character Recognition) techniques.
- Dynamic Interface: The Streamlit interface provides a user-friendly experience with real-time updates and interactive elements.
- Streamlit: Web application framework for data scientists
- langchain: Language processing library for text analysis and manipulation
- PyPDF2: PDF file manipulation library
- docx: Library for working with DOCX files
- Pillow: Python Imaging Library for image processing
- pytesseract: Python wrapper for Tesseract OCR engine
Before running the application, ensure you have Python installed on your system.
To run the TCG application locally, follow these steps:
-
Clone the repository:
git clone https://github.com/SIMRAN719/TCG.git cd tcg -
Install the required dependencies:
pip install -r requirements.txt
-
Run the application:
streamlit run main.py
- Streamlit
- langchain
- PyPDF2
- docx
- Pillow
- pytesseract
Contributions to TCG are welcome! To contribute, please follow the guidelines in CONTRIBUTING.md.
This project is licensed under the MIT License. See the LICENSE file for more details.
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