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README.md
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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: k2t-test
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---
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<h1 align="center">keytotext</h1>
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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
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