- Asitava Sarkar
- Praphul Singh
- Ribhu Nirek
You must have tensorflow and other libraries installed which are imported in the code, 'present.py' to run the model.
-
Make a dataset consisting of articles and their summaries
-
Preprocess the dataset using the function preprocess in present.py
-
Make a vocabulary of words
-
Make the dictionaries word2id and id2word
-
Represent each word in the dataset in the form of ids.
-
Train the model by running the code train.py
-
Clone the repository
-
To test the model, run the code app.py on the terminal
-
host the output address locally on your browser simply by pasting the address there.
-
Give your input paragraph there and click summarize