| | --- |
| | language: "en" |
| | thumbnail: "Keywords to Sentences" |
| | tags: |
| | - keytotext |
| | - k2t |
| | - Keywords to Sentences |
| | license: "MIT" |
| | datasets: |
| | - WebNLG |
| | - Dart |
| | metrics: |
| | - NLG |
| |
|
| | model-index: |
| | - name: logisgenerator |
| | --- |
| | |
| | #keytotext |
| | |
| | [](https://pypi.org/project/keytotext/) |
| | [](https://pepy.tech/project/keytotext) |
| | [](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/K2T.ipynb) |
| | [](https://share.streamlit.io/gagan3012/keytotext/UI/app.py) |
| | [](https://github.com/gagan3012/keytotext#api) |
| | [](https://hub.docker.com/r/gagan30/keytotext) |
| | [](https://huggingface.co/models?filter=keytotext) |
| | [](https://keytotext.readthedocs.io/en/latest/?badge=latest) |
| | [](https://github.com/psf/black) |
| |
|
| |
|
| |
|
| |  |
| |
|
| |
|
| | 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 |