forked from s434650/CatOrNot
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README.md
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README.md
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# Cat or Not - artifact repository
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# First prototype
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### Monday 15:30 group
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## How to use this repository?
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To send an artifact for evaluation, create a pull request with it. Accepted artifacts will be merged into repository.
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In case of an artifact not passing a quality control, person responsible will be contacted with informations about necessary changes.
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Documentation is located in the **docs** branch.
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Application prototype is located in the **app** branch.
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## Version Control Document
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It is located in a [repository's wiki](https://git.wmi.amu.edu.pl/s434650/CatOrNot/wiki/Version+History+Document). It will be updated with each accepted artifact.
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## Heroku application
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https://lit-wildwood-10245.herokuapp.com/
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Test Plan(2).pdf
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Test Plan(2).pdf
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from flask import Flask
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from config import Config
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app = Flask(__name__)
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app.config.from_object(Config)
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from app import routes
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# Imports the Google Cloud client library
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from google.cloud import vision
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from google.cloud.vision import types
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def is_cat(content):
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labels = fetch_data(content)
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if labels[0].description == "cat":
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return True
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else:
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return False
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def fetch_data(content):
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# Instantiates a client
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client = vision.ImageAnnotatorClient()
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# Tell Google Vision that our content is of type Image
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image = types.Image(content=content)
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# Performs label detection on the image file
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response = client.label_detection(image=image)
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# Return array of labels
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return response.label_annotations
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from flask_wtf import FlaskForm
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from wtforms import StringField, PasswordField, BooleanField, SubmitField
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from wtforms.validators import DataRequired
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class UploadForm(FlaskForm):
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url = StringField('Link', validators=[DataRequired()])
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submit = SubmitField('Cat or not?')
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import requests
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def get_image_from_url(url):
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f = open('pic.jpg','wb')
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f.write(requests.get(url).content)
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f.close()
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f = open('pic.jpg','rb')
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file = f.read()
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f.close()
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return file
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from flask import Flask
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from flask import render_template
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from app.forms import UploadForm
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from app import app
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from app import cat_recognition as cat
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from app import picture_downloader as downloader
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@app.route('/', methods=['GET', 'POST'])
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def index():
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form = UploadForm()
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if form.validate_on_submit():
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content = downloader.get_image_from_url(form.url.data)
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if cat.is_cat(content):
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return "Cat!"
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else:
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return "Not!"
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return render_template('index.html', form=form)
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<!doctype html>
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<html>
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<head>
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{% if title %}
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<title>{{ title }} | Cat or Not</title>
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{% else %}
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<title>Cat or Not</title>
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{% endif %}
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<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
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</head>
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<body>
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{% with messages = get_flashed_messages() %}
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{% if messages %}
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<ul>
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{% for message in messages %}
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<li>{{ message }}</li>
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{% endfor %}
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</ul>
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{% endif %}
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{% endwith %}
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{% block content %}{% endblock %}
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</body>
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</html>
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{% extends "base.html" %}
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{% block content %}
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<h1>Check if the picture is cat or not!</h1>
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<form action="" method="post" novalidate>
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{{ form.hidden_tag() }}
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<p>
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{{ form.url.label }}<br>
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{{ form.url }}
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</p>
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<p>{{ form.submit() }}</p>
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</form>
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{% endblock %}
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