readme: # keytotext
  
  Idea is to build a model which will take keywords as inputs and generate sentences as outputs. 
  
  ### Model:
  
  Two Models have been built: 
  
  - Using T5-base size = 850 MB can be found here: https://huggingface.co/gagan3012/keytotext
  - Using T5-small size = 230 MB can be found here: https://huggingface.co/gagan3012/keytotext-small
  
  #### Usage:
  
  ```python
  from transformers import AutoTokenizer, AutoModelWithLMHead
  
  tokenizer = AutoTokenizer.from_pretrained("gagan3012/keytotext-small")
  
  model = AutoModelWithLMHead.from_pretrained("gagan3012/keytotext-small")
  ```
  
  ### Demo:
  
  [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/app.py)
  
  https://share.streamlit.io/gagan3012/keytotext/app.py
  
  ![image](https://user-images.githubusercontent.com/49101362/110660053-3b20fe80-81d4-11eb-9275-ba402134e8d9.png)
  
  
  ### Example: 
  
  ['India', 'Wedding']  -> We are celebrating today in New Delhi with three wedding anniversary parties.
  