readme: ---
  language: "en"
  thumbnail: "Keywords to Sentences"
  tags:
  - keytotext
  - k2t
  - Keywords to Sentences
  license: "MIT"
  datasets:
  - WebNLG
  - Dart 
  metrics:
  - NLG
  
  model-index:
  - name: k2t-test3
  ---
          
  #keytotext
  
  [![pypi Version](https://img.shields.io/pypi/v/keytotext.svg?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/notebooks/K2T.ipynb)
  [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
  [![API Call](https://img.shields.io/badge/-FastAPI-red?logo=fastapi&labelColor=white)](https://github.com/gagan3012/keytotext#api)
  [![Docker Call](https://img.shields.io/badge/-Docker%20Image-blue?logo=docker&labelColor=white)](https://hub.docker.com/r/gagan30/keytotext)
  [![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-Models%20on%20Hub-yellow)](https://huggingface.co/models?filter=keytotext)
  [![Documentation Status](https://readthedocs.org/projects/keytotext/badge/?version=latest)](https://keytotext.readthedocs.io/en/latest/?badge=latest)
  [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
  
  
  
  ![keytotext](https://socialify.git.ci/gagan3012/keytotext/image?description=1&forks=1&language=1&owner=1&stargazers=1&theme=Light)
  
  
  Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
  
  Potential use case can include: 
  - Marketing 
  - Search Engine Optimization
  - Topic generation etc.
  - Fine tuning of topic modeling models