Sentence-Similarity-Flask-API-

The sentence_similarity.py file contains the flask app and the query.py file contains an example query and below is an example output obtained:

1. sentence_similarity.py file

• I have used pretrained "all-MiniLM-L6-v2" model from the Hugging Face library which is trained on more than 1 billion sentence pairs.
• This model basically maps the sentences & paragraphs to a 384 dimensional dense vector space.
• This file contains the code for the flask app and api and the model loading and tokenizing as well as generating the output.

2. query.py file

• This file contains and example query with 2 sentences.
• Below is the output obtained when executing the query.py file

Query with 2 sentences:

OUTPUT:

(

• Here I have used ngrok library as the project was done in gogle collab.
• As local hosting can't be done in google collab I have used ngrok_flask library.
• ngrok basically allows you to host the flask app on ngrok domain instead of local hosting.
• Also this flask app is easily deployable anywhere with or without the ngrok library and the api works perfectly.