Article summerizer using huggingface
1.The structure:
Backend:Django
FrontEnd:HTML and Bootstrap
2.Integration of hugging Face:
I installed the transformer library of huggingface and imported the pipeline. I used the summerizer model for the project
and set up the views.py of my django project. The project recieves big articles as input and summerises them in less
than 130 words
References
1.https://huggingface.co/
2.https://youtu.be/XMYlqm2Dq1w?si=Z_sO-p7L8FuHwLm1- Learned about inference api and API Tokens
3.https://youtu.be/TsfLm5iiYb4?si=AgnH-4Qr_Uh5oLIe - This video helped me in knowing about transformers as only after
watching this i came to know that transformers are libraries of
pre-trained ML models
4.https://chat.openai.com/ - I used ChatGPT to convert the model integration code to views.py
code and for debugging. Passed the the api token via vs code
terminal to get access of the Git Hub Repository Of HuggingFace