readme: ---
  language: en
  thumbnail: Keywords to Sentences
  tags:
  - keytotext
  - k2t
  - Keywords to Sentences
  license: mit
  datasets:
  - WebNLG
  - Dart
  metrics:
  - NLG
  ---
  # keytotext
  ![keytotext (1)](https://user-images.githubusercontent.com/49101362/116334480-f5e57a00-a7dd-11eb-987c-186477f94b6e.png)
  Idea is to build a model which will take keywords as inputs and generate sentences as outputs. 
  ### Keytotext is powered by Huggingface 🤗
  [![pypi Version](https://img.shields.io/pypi/v/keytotext.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/keytotext/)
  [![Downloads](https://static.pepy.tech/personalized-badge/keytotext?period=total&units=none&left_color=grey&right_color=orange&left_text=Pip%20Downloads)](https://pepy.tech/project/keytotext)
  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/Examples/K2T.ipynb)
  [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
  ## Model:
  Keytotext is based on the Amazing T5 Model: 
  - `k2t`: [Model](https://huggingface.co/gagan3012/k2t)
  - `k2t-tiny`: [Model](https://huggingface.co/gagan3012/k2t-tiny)
  - `k2t-base`: [Model](https://huggingface.co/gagan3012/k2t-base)
  Training Notebooks can be found in the [`Training Notebooks`](https://github.com/gagan3012/keytotext/tree/master/Training%20Notebooks) Folder
  ## Usage:
  Example usage: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/Examples/K2T.ipynb)
  Example Notebooks can be found in the [`Notebooks`](https://github.com/gagan3012/keytotext/tree/master/Examples) Folder
  ```
  pip install keytotext
  ```
  ![carbon (3)](https://user-images.githubusercontent.com/49101362/116220679-90e64180-a755-11eb-9246-82d93d924a6c.png)
  ## UI:
  UI: [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
  ```
  pip install streamlit-tags
  ```
  This uses a custom streamlit component built by me: [GitHub](https://github.com/gagan3012/streamlit-tags)
  ![image](https://user-images.githubusercontent.com/49101362/116162205-fc042980-a6fd-11eb-892e-8f6902f193f4.png)