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| language: en | |
| thumbnail: Keywords to Sentences | |
| tags: | |
| - keytotext | |
| - k2t-base | |
| - Keywords to Sentences | |
| license: mit | |
| datasets: | |
| - WebNLG | |
| - Dart | |
| metrics: | |
| - NLG | |
| # keytotext | |
|  | |
| Idea is to build a model which will take keywords as inputs and generate sentences as outputs. | |
| ### Keytotext is powered by Huggingface 🤗 | |
| [](https://pypi.org/project/keytotext/) | |
| [](https://pepy.tech/project/keytotext) | |
| [](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/Examples/K2T.ipynb) | |
| [](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: [](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 | |
| ``` | |
|  | |
| ## UI: | |
| UI: [](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) | |
|  | |