A framework to generate synthetic data using Large Language Model (LLM)
- install anaconda
- install python
- install node
- conda create --name <env_name>
- cd TechMates/FlaskServer
- pip install -r requirements.txt
- Start flask server @ python api/index.py
- cd TechMates/UI
- Start node server @ npm install, npm start
Add your OPENAI_API_KEY in the UI and you're good to go.
- Can generate dataset for specific domains and tailored to user's needs
- Easy to use and requires minimal technical knowledge
- Time saving and cost-effective
- On-demand downloadable data as needed for ML post processing
- Highlights the keywords in the generated output