A GUI for NLU pipeline configurations and model training for Rasa Conversational AIs.
Project description
RASA Codeless provides a GUI for NLU pipeline configurations and model training and evaluation for Rasa Conversational AIs.
Features
- Allows configuring, training, and evaluating RASA models efficiently through a React based UI
- Fully supports rasa 2.8.x projects
- Provides an easy-to-use CLI
- Provides an efficient server-based GUI
- Requires minimum machine learning expertise and RASA framework specific knowledge
- Learning curve insights for non-experts
What's Cooking?
- Training data management
- Story designer
- Custom config file upload
- NLU file upload
- CDD (Interactive Learning)
- Rule designer
- Conversation flow designer
- Custom NLU pipeline components attaching
- Cross-validation and F1-score based performance evaluation
- Automated validation dataset size configuration
- User-friendly model and deployment management
- One-click deploy
- Docker support for model deployment
- Custom MongoDB botstore support
- Omni-channel support
Limitations and Known Issues
- Does not support early stopping
- Training ETA not available
- Evaluations are limited to DIET Classifier for now
📒 Docs: https://rasa-codeless.github.io
📦 PyPi: https://pypi.org/project/rasac/2.1.1/
🪵 Full Changelog: here
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