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update all the files for hosting on flask
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‎__pycache__/bing_detect.cpython-37.pyc

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‎__pycache__/flask_app.cpython-37.pyc

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‎bing_detect.py

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import joblib
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import os
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import re
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from string import punctuation
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import time
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import datetime
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import nltk
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from nltk.corpus import stopwords
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from nltk.tokenize import word_tokenize
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nltk.download('stopwords')
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nltk.download('punkt')
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import sklearn
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from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
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def clean_text(text):
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'''
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function to preprocess and clean the data before passing the data to model
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parameters :
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text (str) : raw unprocessed text
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returns :
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text (str) : preprocessed text ready to be passed onto the model pipeline
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'''
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STOPWORDS = set(stopwords.words('english'))
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text = text.lower()
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text = re.compile('[/(){}\[\]\|@,;]').sub(' ', text)
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text = re.compile('[^0-9a-z #+_]').sub('', text)
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text = ' '.join(word for word in text.split() if word not in STOPWORDS and word not in punctuation and len(word) > 2)
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return text
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def detect_bing(input_query, model_path):
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'''
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main function for getting the predictions back to the flask app
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parameters :
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args :
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input_query (str) : url input by the user on the home page
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'''
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print(input_query)
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model = joblib.load(model_path)
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cleaned_text = clean_text(input_query)
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print(cleaned_text)
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result = model.predict([cleaned_text])
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return result

‎flask_app.py

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from flask import Flask, render_template, request
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from bing_detect import detect_bing
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from PIL import Image
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import io
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import numpy as np
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import os
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app = Flask(__name__, static_folder="images")
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APP_ROOT = os.path.dirname(os.path.abspath(__file__))
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target = os.path.join(APP_ROOT, 'images/')
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full_path = target + 'result.png'
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@app.route('/bing_search', methods = ['GET','POST'])
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def Bing_detection():
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'''
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Routing Bing search detection APP
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Methods permitted : GET, POST
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'''
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if request.method == 'GET':
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return render_template('index_bing.html')
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if request.method == 'POST':
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X = request.form['xname']
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if not X or X == '':
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return render_template('error_bing.html', message='EMPTY_URL_ERROR : please enter something !')
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model_path = APP_ROOT + '/model.pkl'
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print(X)
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print(model_path)
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prediction = detect_bing(X, model_path)
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print(prediction)
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prediction_list = [X, prediction]
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return render_template('result_bing.html', prediction_list=prediction_list)

‎model.pkl

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‎static/1.jpg

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‎static/logo.jpg

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‎templates/error_bing.html

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<!DOCTYPE html>
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<html>
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<head>
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<!-- Latest compiled and minified CSS -->
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
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<!-- jQuery library -->
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<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
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<!-- Latest compiled JavaScript -->
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<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
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<link href="https://fonts.googleapis.com/css2?family=Amatic+SC:wght@700&display=swap" rel="stylesheet">
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<title>Object Detection App</title>
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<style>
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/* nav bar starts */
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ul {
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list-style-type: none;
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margin: 0;
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padding: 0;
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overflow: hidden;
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background-color: #333;
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}
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li {
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float: left;
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}
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li a {
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display: block;
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color: white;
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text-align: center;
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padding: 14px 16px;
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text-decoration: none;
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}
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li a:hover:not(.active) {
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background-color: #111;
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}
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.active {
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background-color: #ed561a;
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}
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/* nav bar finished */
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h1{font-family: 'Amatic SC', cursive;
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text-align: center;}
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h3{text-align: center;}
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.footer {
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position: fixed;
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left: 0;
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bottom: 0;
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width: 100%;
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background-color: #fc7419;
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color: white;
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text-align: center;
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}
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@media only screen and (max-width: 768px) {
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h1{font-family: 'Amatic SC', cursive;
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text-align: center;}
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h3{text-align: center;}
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}
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</style>
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</head>
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<body background="/static/1.jpg">
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<ul>
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<li><a class="active" href="/bing_search">Home</a></li>
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</ul>
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<div class="container">
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<br><br><br><br>
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<div class = "row">
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<h1 style="font-size:15vw;">ERROR : 4 0 4</h1>
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</div>
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<div class = "row">
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<h3>{{ message }}</h3>
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</div>
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</div>
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<div class="footer">
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<p>MADE BY SOURAV KUMAR</p>
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</div>
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</body>
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</html>

‎templates/index.html

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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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<meta http-equiv="x-ua-compatible" content="ie=edge">
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<meta name="description" content="Real time Object detection, Real time Edge detection, Computer vision Projects, Machine learning, Deep learning">
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<link rel="icon" type="image/ico" href="/static/logo.jpg" />
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<!-- Latest compiled and minified CSS -->
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
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<link href="https://fonts.googleapis.com/css2?family=Capriola&display=swap" rel="stylesheet">
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<!-- jQuery library -->
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<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
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<!-- Latest compiled JavaScript -->
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<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
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<title>SOURAV KUMAR ML/DL PROJECTS</title></head>
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<style>
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/* nav bar starts */
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ul {
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list-style-type: none;
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margin: 0;
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padding: 0;
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overflow: hidden;
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background-color: #333;
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}
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li {
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float: left;
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}
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li a {
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display: block;
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color: white;
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text-align: center;
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padding: 14px 16px;
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text-decoration: none;
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}
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li a:hover:not(.active) {
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background-color: #111;
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}
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.active {
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background-color: #ed561a;
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}
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/* nav bar finished */
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button {
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border-radius: 4px;
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background-color:#ffa557;
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border: none;
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padding: 20px;
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width: 200px;
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transition: all 0.5s;
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}
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button span {
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cursor: pointer;
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display: inline-block;
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position: relative;
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transition: 0.5s;
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}
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button span:after {
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content: '»';
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position: absolute;
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opacity: 0;
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top: 0;
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right: -20px;
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transition: 0.5s;
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}
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button:hover span {
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padding-right: 25px;
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}
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button:hover span:after {
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opacity: 1;
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right: 0;
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}
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.sub-main{
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width: 30%;
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margin:22px;
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float: left;
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}
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.footer {
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position: fixed;
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left: 0;
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bottom: 0;
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width: 100%;
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background-color: #fc7419;
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color: white;
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text-align: center;
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}
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h2 {text-align: center;
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font-family: 'Capriola', sans-serif; }
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form{
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display: inline-block;
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}
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.object-btn-container{
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text-align: center;
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}
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.edge-btn-container{
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text-align: center;
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}
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.flair-btn-container{
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text-align: center;
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}
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@media only screen and (max-width: 768px) {
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}
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</style>
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<body background="/static/1.jpg">
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<ul>
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<li><a class="active" href="/">Home</a></li>
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</ul>
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<div class="container">
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<br>
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<h2>WELCOME TO DIMENSIONS.AI</h2>
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<br><br><br>
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<div class = 'object-btn-container'>
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<form action="/object">
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<div class = "sub-main">
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<button id="objectbtn" type="submit">Object Detection</button>
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</div>
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</form>
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</div>
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<br>
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<div class = 'edge-btn-container'>
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<form action="/edge">
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<div class = "sub-main">
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<button id="edgebtn" type="submit">Edge Detection</button>
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</div>
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</form>
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</div>
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<br>
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<div class="footer">
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<p>MADE BY SOURAV KUMAR</p>
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</div>
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</div>
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</body>
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</html>

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