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Text-Summarizer
About
An Abstractive text summarizer trained using lstm based sequence to sequence model with attention mechanisim. The attention model is used for generating each word of the summary conditioned on the input sentence.
- Used CNN_DailyMail dataset.
- Code + Deployment : https://www.youtube.com/watch?v=LFZBA99NOpU
Training Model Overview
loss graph
encoder-decoder overview
Conclusion
- 🫶 The machine learning model to convert a text document to abstract is done successfully.
- 🫶 Created a Flask app using an api call from this repository & deployed the app in heroku app.
Deployment:
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Saravananofficial/Text_Summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("Saravananofficial/Text_Summarizer")