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--- |
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language: "en" |
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thumbnail: "Keywords to Sentences" |
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tags: |
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- keytotext |
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- k2t |
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- Keywords to Sentences |
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license: "MIT" |
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datasets: |
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- WebNLG |
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- Dart |
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metrics: |
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- NLG |
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model-index: |
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- name: logisgenerator |
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--- |
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#keytotext |
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[](https://pypi.org/project/keytotext/) |
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[](https://pepy.tech/project/keytotext) |
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[](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/K2T.ipynb) |
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[](https://share.streamlit.io/gagan3012/keytotext/UI/app.py) |
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[](https://github.com/gagan3012/keytotext#api) |
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[](https://hub.docker.com/r/gagan30/keytotext) |
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[](https://huggingface.co/models?filter=keytotext) |
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[](https://keytotext.readthedocs.io/en/latest/?badge=latest) |
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[](https://github.com/psf/black) |
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Idea is to build a model which will take keywords as inputs and generate sentences as outputs. |
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Potential use case can include: |
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- Marketing |
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- Search Engine Optimization |
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- Topic generation etc. |
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- Fine tuning of topic modeling models |