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# Introduction
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This is a machine learning project that determines fake news through the url of the news.
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# Project Structre
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This project has four major parts :
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* fake_news_detection.py - This contains code fot our Machine Learning model to classify the model
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* app.py - This contains Flask APIs that receives news url through GUI or API calls, extracts the article from the url, feeds it to the model and returns the prediction.
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* templates - This folder contains the HTML template to allow user to enter url and displays whether the news is fake or real.
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* static - This folder contains the CSS file.
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# Running the project on local machine
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Ensure that you are in the project home directory.
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Run app.py using below command to start Flask API
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python app.py
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By default, flask will run on port 5000.
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Navigate to URL http://127.0.0.1:5000

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