k2t-new / README.md

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	---
	language: en
	thumbnail: Keywords to Sentences
	tags:
	- keytotext
	- k2t
	- Keywords to Sentences
	license: mit
	datasets:
	- common_gen
	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)