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

Commit d847df7

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Merge pull request #234 from asiskumarroy/master
Fake news detection web application
2 parents 5bde7e0 + ce75189 commit d847df7

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#### **Flask web application **
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This is a web application built in flask to detect if a given news
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article based on the 2016 US presidential election is real or
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fake.
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The web application uses NLP techniques to check the reality
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of the news article.
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The fake-news folder contains the data on which the machine
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learning model that predicts the fake news is trained.
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To test the model you can simply pick data from the fake-news
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folder and give it as input(screenshots can be referred) and
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the model will predict the output.
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#### _Link to data_
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The dataset can be downloaded from the following url
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https://www.kaggle.com/c/fake-news/data
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alabaster==0.7.12
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altgraph==0.17
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anaconda-client==1.7.2
4+
anaconda-navigator==1.9.7
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anaconda-project==0.8.3
6+
asn1crypto==1.0.1
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astroid==2.3.1
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astropy==3.2.1
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atomicwrites==1.3.0
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attrs==19.2.0
11+
Babel==2.7.0
12+
backcall==0.1.0
13+
backports.functools-lru-cache==1.5
14+
backports.os==0.1.1
15+
backports.shutil-get-terminal-size==1.0.0
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backports.tempfile==1.0
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backports.weakref==1.0.post1
18+
beautifulsoup4==4.8.0
19+
bitarray==1.0.1
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bkcharts==0.2
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bleach==3.1.0
22+
bokeh==1.3.4
23+
boto==2.49.0
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Bottleneck==1.2.1
25+
CacheControl==0.12.6
26+
cachetools==4.1.1
27+
certifi==2019年9月11日
28+
cffi==1.12.3
29+
chardet==3.0.4
30+
Click==7.0
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cloudpickle==1.2.2
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clyent==1.2.2
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colorama==0.4.1
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comtypes==1.1.7
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conda==4.7.12
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conda-build==3.18.9
37+
conda-package-handling==1.6.0
38+
conda-verify==3.4.2
39+
contextlib2==0.6.0
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cryptography==2.7
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cycler==0.10.0
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Cython==0.29.13
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cytoolz==0.10.0
44+
dask==2.5.2
45+
decorator==4.4.0
46+
defusedxml==0.6.0
47+
distributed==2.5.2
48+
docutils==0.15.2
49+
entrypoints==0.3
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et-xmlfile==1.0.1
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fastcache==1.1.0
52+
filelock==3.0.12
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firebase-admin==4.3.0
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Flask==1.1.1
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Flask-SQLAlchemy==2.4.3
56+
fsspec==0.5.2
57+
future==0.17.1
58+
gevent==1.4.0
59+
glob2==0.7
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google-api-core==1.21.0
61+
google-api-python-client==1.10.0
62+
google-auth==1.19.1
63+
google-auth-httplib2==0.0.4
64+
google-cloud-core==1.3.0
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google-cloud-firestore==1.8.1
66+
google-cloud-storage==1.29.0
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google-resumable-media==0.5.1
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googleapis-common-protos==1.52.0
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greenlet==0.4.15
70+
grpcio==1.30.0
71+
h5py==2.9.0
72+
HeapDict==1.0.1
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html5lib==1.0.1
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httplib2==0.18.1
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idna==2.8
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imageio==2.6.0
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imagesize==1.1.0
78+
importlib-metadata==0.23
79+
ipykernel==5.1.2
80+
ipython==7.8.0
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ipython-genutils==0.2.0
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ipywidgets==7.5.1
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isort==4.3.21
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itsdangerous==1.1.0
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jdcal==1.4.1
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jedi==0.15.1
87+
Jinja2==2.10.3
88+
joblib==0.13.2
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json5==0.8.5
90+
jsonschema==3.0.2
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jupyter==1.0.0
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jupyter-client==5.3.3
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jupyter-console==6.0.0
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jupyter-core==4.5.0
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jupyterlab==1.1.4
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jupyterlab-server==1.0.6
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keyring==18.0.0
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kiwisolver==1.1.0
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lazy-object-proxy==1.4.2
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libarchive-c==2.8
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llvmlite==0.29.0
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locket==0.2.0
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lxml==4.4.1
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MarkupSafe==1.1.1
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matplotlib==3.1.1
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mccabe==0.6.1
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menuinst==1.4.16
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mistune==0.8.4
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mkl-fft==1.0.14
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mkl-random==1.1.0
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mkl-service==2.3.0
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mock==3.0.5
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more-itertools==7.2.0
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mpmath==1.1.0
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msgpack==0.6.1
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multipledispatch==0.6.0
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mysql-connector-python==8.0.21
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mysqlclient==1.4.6
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navigator-updater==0.2.1
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nbconvert==5.6.0
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nbformat==4.4.0
122+
networkx==2.3
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nltk==3.4.5
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nose==1.3.7
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notebook==6.0.1
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numba==0.45.1
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numexpr==2.7.0
128+
numpy==1.16.5
129+
numpydoc==0.9.1
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olefile==0.46
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openpyxl==3.0.0
132+
packaging==19.2
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pandas==0.25.1
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pandocfilters==1.4.2
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parso==0.5.1
136+
partd==1.0.0
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path.py==12.0.1
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pathlib2==2.3.5
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patsy==0.5.1
140+
pefile==2019年4月18日
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pep8==1.7.1
142+
pickleshare==0.7.5
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Pillow==6.2.0
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pkginfo==1.5.0.1
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pluggy==0.13.0
146+
ply==3.11
147+
prometheus-client==0.7.1
148+
prompt-toolkit==2.0.10
149+
protobuf==3.12.2
150+
psutil==5.6.3
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py==1.8.0
152+
pyasn1==0.4.8
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pyasn1-modules==0.2.8
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pycodestyle==2.5.0
155+
pycosat==0.6.3
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pycparser==2.19
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pycrypto==2.6.1
158+
pycurl==7.43.0.3
159+
pyflakes==2.1.1
160+
Pygments==2.4.2
161+
PyInstaller==3.6
162+
pylint==2.4.2
163+
pyodbc==4.0.27
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pyOpenSSL==19.0.0
165+
pyparsing==2.4.2
166+
pyreadline==2.1
167+
pyrsistent==0.15.4
168+
PySocks==1.7.1
169+
pytest==5.2.1
170+
pytest-arraydiff==0.3
171+
pytest-astropy==0.5.0
172+
pytest-doctestplus==0.4.0
173+
pytest-openfiles==0.4.0
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pytest-remotedata==0.3.2
175+
python-dateutil==2.8.0
176+
pytz==2019.3
177+
PyWavelets==1.0.3
178+
pywin32==223
179+
pywin32-ctypes==0.2.0
180+
pywinpty==0.5.5
181+
PyYAML==5.1.2
182+
pyzmq==18.1.0
183+
QtAwesome==0.6.0
184+
qtconsole==4.5.5
185+
QtPy==1.9.0
186+
requests==2.22.0
187+
rope==0.14.0
188+
rsa==4.6
189+
ruamel-yaml==0.15.46
190+
scikit-image==0.15.0
191+
scikit-learn==0.21.3
192+
scipy==1.3.1
193+
seaborn==0.9.0
194+
Send2Trash==1.5.0
195+
simplegeneric==0.8.1
196+
singledispatch==3.4.0.3
197+
six==1.12.0
198+
snowballstemmer==2.0.0
199+
sortedcollections==1.1.2
200+
sortedcontainers==2.1.0
201+
soupsieve==1.9.3
202+
Sphinx==2.2.0
203+
sphinxcontrib-applehelp==1.0.1
204+
sphinxcontrib-devhelp==1.0.1
205+
sphinxcontrib-htmlhelp==1.0.2
206+
sphinxcontrib-jsmath==1.0.1
207+
sphinxcontrib-qthelp==1.0.2
208+
sphinxcontrib-serializinghtml==1.1.3
209+
sphinxcontrib-websupport==1.1.2
210+
spyder==3.3.6
211+
spyder-kernels==0.5.2
212+
SQLAlchemy==1.3.9
213+
statsmodels==0.10.1
214+
stopwords==0.1.3
215+
sympy==1.4
216+
tables==3.5.2
217+
tblib==1.4.0
218+
terminado==0.8.2
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testpath==0.4.2
220+
toolz==0.10.0
221+
tornado==6.0.3
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tqdm==4.36.1
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traitlets==4.3.3
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unicodecsv==0.14.1
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uritemplate==3.0.1
226+
urllib3==1.24.2
227+
wcwidth==0.1.7
228+
webencodings==0.5.1
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Werkzeug==0.16.0
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widgetsnbextension==3.5.1
231+
win-inet-pton==1.1.0
232+
win-unicode-console==0.5
233+
wincertstore==0.2
234+
wrapt==1.11.2
235+
xlrd==1.2.0
236+
XlsxWriter==1.2.1
237+
xlwings==0.15.10
238+
xlwt==1.3.0
239+
zict==1.0.0
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zipp==0.6.0
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from flask import Flask, request, render_template
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from sklearn.externals import joblib
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from feature import *
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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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