An application that takes two inputs as texts and utilizes the Jaccard method to compare how similar the two texts are via returning a score between 0 and 1.
The Jaccard Method, also known as Intersection over Union and the Jaccard similarity coefficient (originally coined coefficient de communauté by Paul Jaccard), is a statistic used for comparing the similarity and diversity of texts. The Jaccard coefficient measures similarity between finite texts, and is defined as the size of the intersection divided by the size of the union of the sample texts.
A returned score of 0 indicates there is no similarity between the two texts. A returned score of 1 indicates the two texts are 100% similar.
stop_words
A python file that contains common stop words. Stop words are words that will return innacurate results and must be removed before processing the texts. The Jaccard Method is based on the number of matching words in two texts and the presence of stop words in the texts will yield inaccurate results. The removal of stop words from texts will prevent false positives. This file may be modified depending on language and use case.
clean
A python script file containing the clean() function, which removes all stopwords and any redundant characters from a given text.
main
Contains the application consisting of the input class, get request, and post request.
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Install Docker
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Build the docker container using
docker build . -t fetch
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Generate the docker image using
docker run -d -p 8000:15400 fetch_core_api
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Run in your terminal
cd app
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Run in your terminal
uvicorn main:app --reload
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Follow the link
https://127.0.0.1:8000
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Enter into your browser
https://127.0.0.1:8000/docs
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