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app.py
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app.py
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from flask import Flask , render_template ,request
import os, sys
import matplotlib.pyplot as plt
import style_transfer
from flask import Flask, url_for, redirect, render_template, request
from flask_ngrok import run_with_ngrok
import os
import time
import numpy as np
TEMPLATE_FOLDER = '/content/Museum_Neural_Art/templates'
STATIC_FOLDER = '/content/Museum_Neural_Art/static'
app = Flask(__name__, template_folder=TEMPLATE_FOLDER, static_folder = STATIC_FOLDER)
run_with_ngrok(app) #starts ngrok when the app is run
UPLOAD_FOLDER = '/content/Museum_Neural_Art/static/image/upload'
style =""
@app.route("/")
def home():
return render_template("index.html")
@app.route("/success", methods=['POST'])
def upload_file():
a = str(np.random.randint(1,100))
content = request.files['file']
style = request.form.get('style')
content.save(os.path.join(UPLOAD_FOLDER+ '/'+a+'content.jpg'))
#load in content and style image
content = style_transfer.load_image(UPLOAD_FOLDER+'/'+a+'content.jpg')
vgg = style_transfer.model()
style, target, x = [0 for i in range(5)],[0 for i in range(5)],[0 for i in range(5)]
for i in range(0,5):
# #Resize style to match content, makes code easier
style[i] = style_transfer.load_image('/content/Museum_Neural_Art/static/image/s'+ str(i+1)+'.jpg', shape=content.shape[-2:])
target[i] = style_transfer.stylize(content,style[i],vgg)
x[i] = style_transfer.im_convert(target[i])
plt.imsave(UPLOAD_FOLDER+'/'+a+'target_'+str(i)+'.png',x[i])
return render_template('success.html', content_file= 'image/upload/'+a+'content.jpg', t_0= 'image/upload/'+a+'target_0.png',
t_1= 'image/upload/'+a+'target_1.png', t_2= 'image/upload/'+a+'target_2.png',
t_3= 'image/upload/'+a+'target_3.png', t_4= 'image/upload/'+a+'target_4.png')
# 다시하기 버튼 만들기
@app.route("/restart")
def restart():
os.remove(UPLOAD_FOLDER+ '/'+a+'content.jpg')
os.remove(UPLOAD_FOLDER+ '/'+a+'target.png')
return render_template("index.html")
if __name__ == '__main__':
app.run()