# A very simple Flask Hello World app for you to get started with...

from flask import Flask

app = Flask(__name__)

@app.route('/')
def hello_world():
    return ' OOO -----------   ALSO SEE   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   \n   -----  Here will be a user-based interactive web-based Machine Learning application which will use deep convolutional neural networks to classify fMRI & dtMRI hippocampus-neocortex data in connectivity-strength groups with inference, as a computational model for clinical decisions, the source code will be made open-source on GitHub with push/pull commits welcome. \n --------------   There will also be a system for linguistic sentiment analysis similar to -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------.'


def hello_world2():
    return '[2X]'
b7ab7373fd47c21abbfe96d464f8ec1f18a8fb96
<mask token>


@app.route('/')
def hello_world():
    return """ OOO -----------   ALSO SEE   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   
   -----  Here will be a user-based interactive web-based Machine Learning application which will use deep convolutional neural networks to classify fMRI & dtMRI hippocampus-neocortex data in connectivity-strength groups with inference, as a computational model for clinical decisions, the source code will be made open-source on GitHub with push/pull commits welcome. 
 --------------   There will also be a system for linguistic sentiment analysis similar to -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------."""


<mask token>

<mask token>


@app.route('/')
def hello_world():
    return """ OOO -----------   ALSO SEE   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   
   -----  Here will be a user-based interactive web-based Machine Learning application which will use deep convolutional neural networks to classify fMRI & dtMRI hippocampus-neocortex data in connectivity-strength groups with inference, as a computational model for clinical decisions, the source code will be made open-source on GitHub with push/pull commits welcome. 
 --------------   There will also be a system for linguistic sentiment analysis similar to -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------."""


def hello_world2():
    return '[2X]'

<mask token>
app = Flask(__name__)


@app.route('/')
def hello_world():
    return """ OOO -----------   ALSO SEE   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   
   -----  Here will be a user-based interactive web-based Machine Learning application which will use deep convolutional neural networks to classify fMRI & dtMRI hippocampus-neocortex data in connectivity-strength groups with inference, as a computational model for clinical decisions, the source code will be made open-source on GitHub with push/pull commits welcome. 
 --------------   There will also be a system for linguistic sentiment analysis similar to -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------."""


def hello_world2():
    return '[2X]'

from flask import Flask
app = Flask(__name__)


@app.route('/')
def hello_world():
    return """ OOO -----------   ALSO SEE   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   
   -----  Here will be a user-based interactive web-based Machine Learning application which will use deep convolutional neural networks to classify fMRI & dtMRI hippocampus-neocortex data in connectivity-strength groups with inference, as a computational model for clinical decisions, the source code will be made open-source on GitHub with push/pull commits welcome. 
 --------------   There will also be a system for linguistic sentiment analysis similar to -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------."""


def hello_world2():
    return '[2X]'

# A very simple Flask Hello World app for you to get started with...

from flask import Flask

app = Flask(__name__)

@app.route('/')
def hello_world():
    return ' OOO -----------   ALSO SEE   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   https://harry-muzart.github.io/   -----------   \n   -----  Here will be a user-based interactive web-based Machine Learning application which will use deep convolutional neural networks to classify fMRI & dtMRI hippocampus-neocortex data in connectivity-strength groups with inference, as a computational model for clinical decisions, the source code will be made open-source on GitHub with push/pull commits welcome. \n --------------   There will also be a system for linguistic sentiment analysis similar to -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------  http://raschkas.pythonanywhere.com/results  -----------.'


def hello_world2():
    return '[2X]'