keytotext

Idea is to build a model which will take keywords as inputs and generate sentences as outputs.

Model:

Keytotext is based on the Amazing T5 Model:

• k2t: Model
• k2t-tiny: Model
• k2t-base: Model

Training Notebooks can be found in the Training Notebooks Folder

Usage:

Example usage:

Example Notebooks can be found in the Notebooks Folder

pip install keytotext

UI:

UI:

pip install streamlit-tags

This uses a custom streamlit component built by me: GitHub

API:

API:

The API is hosted in the Docker container and it can be run quickly. Follow instructions below to get started

docker pull gagan30/keytotext

docker run -dp 8000:8000 gagan30/keytotext

This will start the api at port 8000 visit the url below to get the results as below:

http://localhost:8000/api?data=["India","Capital","New Delhi"]

Note: The Hosted API is only available on demand

BibTex:

To quote keytotext please use this citation

@misc{bhatia, 
      title={keytotext},
      url={https://github.com/gagan3012/keytotext}, 
      journal={GitHub}, 
      author={Bhatia, Gagan}
}