# 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)
{"language": "en", "license": "mit", "tags": ["keytotext", "k2t", "Keywords to Sentences"], "datasets": ["WebNLG", "Dart"], "metrics": ["NLG"], "thumbnail": "Keywords to Sentences"}
transformers pytorch t5 text2text-generation keytotext k2t Keywords to Sentences en dataset:WebNLG dataset:Dart license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #keytotext #k2t #Keywords to Sentences #en #dataset-WebNLG #dataset-Dart #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# keytotext
!keytotext (1)
Idea is to build a model which will take keywords as inputs and generate sentences as outputs. 
### Keytotext is powered by Huggingface 
![pypi Version](URL
![Downloads](URL
![Open In Colab](URL
![Streamlit App](URL
## Model:
Keytotext is based on the Amazing T5 Model: 
- 'k2t': Model
- 'k2t-tiny': Model
- 'k2t-base': Model
Training Notebooks can be found in the 'Training Notebooks' Folder
## Usage:
Example usage: ![Open In Colab](URL
Example Notebooks can be found in the 'Notebooks' Folder

!carbon (3)
## UI:
UI: ![Streamlit App](URL

This uses a custom streamlit component built by me: GitHub
!image
# keytotext
!keytotext (1)
Idea is to build a model which will take keywords as inputs and generate sentences as outputs. ### Keytotext is powered by Huggingface 
![pypi Version](URL
![Downloads](URL
![Open In Colab](URL
![Streamlit App](URL ## Model:
Keytotext is based on the Amazing T5 Model: 
- 'k2t': Model
- 'k2t-tiny': Model
- 'k2t-base': Model
Training Notebooks can be found in the 'Training Notebooks' Folder ## Usage:
Example usage: ![Open In Colab](URL
Example Notebooks can be found in the 'Notebooks' Folder

!carbon (3) ## UI:
UI: ![Streamlit App](URL

This uses a custom streamlit component built by me: GitHub
!image
TAGS
#transformers #pytorch #t5 #text2text-generation #keytotext #k2t #Keywords to Sentences #en #dataset-WebNLG #dataset-Dart #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # keytotext
!keytotext (1)
Idea is to build a model which will take keywords as inputs and generate sentences as outputs. ### Keytotext is powered by Huggingface 
![pypi Version](URL
![Downloads](URL
![Open In Colab](URL
![Streamlit App](URL ## Model:
Keytotext is based on the Amazing T5 Model: 
- 'k2t': Model
- 'k2t-tiny': Model
- 'k2t-base': Model
Training Notebooks can be found in the 'Training Notebooks' Folder ## Usage:
Example usage: ![Open In Colab](URL
Example Notebooks can be found in the 'Notebooks' Folder

!carbon (3) ## UI:
UI: ![Streamlit App](URL

This uses a custom streamlit component built by me: GitHub
!image
TAGS
#transformers #pytorch #t5 #text2text-generation #keytotext #k2t #Keywords to Sentences #en #dataset-WebNLG #dataset-Dart #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# keytotext
!keytotext (1)
Idea is to build a model which will take keywords as inputs and generate sentences as outputs.### Keytotext is powered by Huggingface 
![pypi Version](URL
![Downloads](URL
![Open In Colab](URL
![Streamlit App](URL## Model:
Keytotext is based on the Amazing T5 Model: 
- 'k2t': Model
- 'k2t-tiny': Model
- 'k2t-base': Model
Training Notebooks can be found in the 'Training Notebooks' Folder## Usage:
Example usage: ![Open In Colab](URL
Example Notebooks can be found in the 'Notebooks' Folder

!carbon (3)## UI:
UI: ![Streamlit App](URL

This uses a custom streamlit component built by me: GitHub
!image