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This repository was archived by the owner on Dec 22, 2023. It is now read-only.

Commit 5d3ed0d

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fake news detection application
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‎Scripts/Miscellaneous/Fake_news_web/.ipynb_checkpoints/fakenews_AI-checkpoint.ipynb‎

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from flask import Flask, abort, jsonify, request, render_template
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from sklearn.externals import joblib
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from feature import *
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import json
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pipeline = joblib.load('pipeline.sav')
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app = Flask(__name__)
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@app.route('/')
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def home():
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return render_template('index.html')
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@app.route('/api',methods=['POST'])
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def get_delay():
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result=request.form
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query_title = result['title']
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query_author = result['author']
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query_text = result['maintext']
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print(query_text)
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query = get_all_query(query_title, query_author, query_text)
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user_input = {'query':query}
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pred = pipeline.predict(query)
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print(pred)
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dic = {1:'real',0:'fake'}
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return f'<html><body><h1>{dic[pred[0]]}</h1> <form action="/"> <button type="submit">back </button> </form></body></html>'
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if __name__ == '__main__':
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app.run(port=8080, debug=True)

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