def getOutput(my_url_list):
global client, all_creds, current_cred
output_list = []
for my_url in my_url_list:
if current_cred >= len(all_creds):
current_cred = 0
raise Exception(
'You have reached the daily limit of 1500 requests!')
break
result = client.check('wad').set_url(my_url)
while result['status'] != 'success':
if current_cred >= len(all_creds): # if last credential reached
current_cred = 0
raise Exception('API keys exhausted.')
break
current_cred += 1
client = SightengineClient(all_creds[current_cred][0],
all_creds[current_cred][1])
result = client.check('wad').set_url(my_url)
print('Using credentials ' + all_creds[current_cred][0] + ', ' +
all_creds[current_cred][1])
print(result)
print(result)
output_list.append(result)
for output in output_list:
print(output)
return output_list
def image_check(image_url):
client = SightengineClient('1206340818', 'CMrhjLUJuUHYzvtYVy5y')
output = client.check('nudity', 'offensive').set_url(image_url)
print(output)
# output = client.check('nudity').set_file()
safe = output['nudity']['safe']
return safe
def find_meme(self, meme):
sightclient = SightengineClient("1347331372", "BhoFasNuF3zAGp8XSRXi")
try:
height = int(meme)
# meme represents height
rawdata_meme = getJSON("%s/getmemedatabyheight/%s" %
(self.api_root, meme))['result']
result = dict(rawdata_meme, **{'meme_identifier': height})
except ValueError as e:
# meme represents ipfsid
rawdata_meme = getJSON("%s/getmemedatabyhash/%s" %
(self.api_root, meme))['result']
result = dict(rawdata_meme,
**{'meme_identifier': rawdata_meme['hashlink']})
try:
sight_output = sightclient.check('nudity').set_url(
'https://ipfs.io/ipfs/%s' % rawdata_meme['ipfs_id'])
if sight_output['nudity']['safe'] > 0.5:
return result
else:
return None
except KeyError as e:
return result
def check_sightengine(pic_url):
try:
client = SightengineClient(sightengine_user, sightengine_secret)
output = client.check('nudity').set_url(pic_url)
score = 'Sightengine: {}% NSFW'.format(
round(100 * output["nudity"]["raw"]))
except:
score = ''
return score
def check_safety(input_url):
client = SightengineClient('265033791', 'E8KsSkGNjT4Em8aaCUpF')
checkNudity = client.check('nudity')
output1 = checkNudity.set_url(input_url)
safety_level = output1['nudity']['safe']
if safety_level < 0.5:
return 1
else:
return 0
def process_file():
if not current_user.is_authenticated:
flash('Only authenticated users can upload or delete images')
return redirect(url_for('images'))
if len(list(request.form.keys())) > 0 and request.form["delete"]:
output = delete_file_from_s3(app.config["S3_BUCKET"],
request.form["delete"])
models.Appimage.query.filter_by(URL=request.form["delete"]).delete()
db.session.commit()
return redirect(url_for('images'))
file = request.files["user_file"]
if file.filename and allowed_file(file.filename):
file.filename = secure_filename(file.filename)
output = upload_file_to_s3(file, app.config["S3_BUCKET"])
client = SightengineClient('1959849289', 'Wm9a6r2E8SnF7oBfNJUW')
output2 = client.check('nudity', 'wad', 'celebrities',
'scam').set_url(app.config["S3_LOCATION"] +
'/' + file.filename)
#Get the probability that the face belongs to said celebrity
celeProb = 0
for face in output2["faces"]:
celebrities = face.get("celebrity")
for cele in celebrities:
if (celeProb < cele.get("prob")):
celeProb = cele.get("prob")
#Nudity check: probability that the image does not contain nudity
#Celebrity check: Probability that the face belongs to said celebrity
#Weapon check: Probability that the image contains weapons
#Scammer check: Probability that there is a scammer on the image
if (float(output2["nudity"]["safe"]) < 0.5 or celeProb > 0.8
or float(output2["weapon"]) > 0.4
or float(output2["scam"]["prob"]) > 0.3):
delete_file_from_s3(app.config["S3_BUCKET"], file.filename)
flash('Image denied')
#flash(float(output2["nudity"]["safe"]))
#flash(celeProb)
#flash(float(output2["weapon"]))
#flash(float(output2["scam"]["prob"]))
else:
user = models.Appuser.query.filter_by(
email=current_user.get_id()).first()
i = models.Appimage(appuser_id=user.get_id(), URL=file.filename)
db.session.add(i)
db.session.commit()
return redirect(url_for('images'))
else:
return redirect(url_for('images'))
def get_celebs(url):
client = SightengineClient(local_settings.SIGHTENGINE_USER, local_settings.SIGHTENGINE_KEY)
output = client.check('celebrities').set_url({url})
# Returns names and probabilities
results = output["faces"][0]["celebrity"]
return results
# for celeb in results:
# return ("Name:", celeb["name"], "Probability:", celeb["prob"])
def check_image_moderation(image: bytes):
header = "data:image/png;base64,"
headerless_image = image.decode().replace(header, "").encode()
client = SightengineClient("831120097", "9SKvSye6HX2WJeboWbqA")
response = client.check("nudity").set_bytes(headerless_image)
# If is 95.7% safe return original
if response["nudity"]["safe"] >= 0.80:
return image
return "data:image/jpeg;base64,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".encode(
)
def check(self, photo):
client = SightengineClient('265804968', 'kqyZakkeqA6GPRQEqXzE')
output = client.check('wad').set_file(photo)
weapon = output['weapon']
alcohol = output['alcohol']
drugs = output['drugs']
if weapon > 0.1:
return "Weapon"
if alcohol > 0.1:
return "Alcohol"
if drugs > 0.1:
return "Drugs"
return None
def enhance_contrast(pathtofile):
client = SightengineClient('1809910925', 'uYAfi34tLkxCpTY2c4Ge')
output = client.check('properties').set_file(pathtofile)
if output['contrast'] < 0.8:
orig_img = cv.imread(pathtofile, 1)
ycrcb_convert = cv.cvtColor(orig_img, cv.COLOR_BGR2YCrCb)
y, cr, cb = cv.split(ycrcb_convert)
new_y = cv.equalizeHist(y)
clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
new_y = clahe.apply(new_y)
merged_channels = cv.merge((new_y, cr, cb))
final_image = cv.cvtColor(merged_channels, cv.COLOR_YCrCb2BGR)
cv.imwrite('enhanced.jpg', final_image)
def test_video(self):
client = SightengineClient('1234', 'test')
check = client.check('wad', 'nudity', 'properties', 'type', 'faces',
'celebrities')
video_output = check.video(
'https://sightengine.com/assets/stream/examples/funfair.mp4',
'http://requestb.in/1nm1vw11')
self.assertEqual('success', video_output['status'])
video_output2 = check.video_sync(
'https://sightengine.com/assets/stream/examples/funfair.mp4')
self.assertEqual('success', video_output2['status'])
def initCreds(self):
# Read in Sightengine credentials
credentials = open("sight_engine_KEY.txt", "r")
api_user = credentials.readline()
api_secret = credentials.readline()
credentials.close()
# Instantiate Sightengine client with credentials
self.client = SightengineClient(api_user, api_secret)
# Read in credentials for messenger email
credentials = open("email_credentials.txt", "r")
# Instantiate message object
self.msg = MIMEMultipart()
# Set up the parameters of the message
self.msg['From'] = credentials.readline()
self.msg['Subject'] = "Gun Detected! ACT IMMEDIATELY!"
self.emailcontacts = app.emails.split(', ')
# Get information for logging into email account
password = credentials.readline()
credentials.close()
# Body of text and email Alerts
message = "Gun Detected! ACT IMMEDIATELY!"
# Add in the message body
self.msg.attach(MIMEText(message, 'plain'))
# Create server to send email
self.server = smtplib.SMTP('smtp.gmail.com: 587')
print('server started')
self.server.starttls()
# Login to the messenger account with proper credentials
self.server.login(self.msg['From'], password)
# Read in twilio credentials
credentials = open("twilio_credentials.txt", "r")
account_sid = credentials.readline()
auth_token = credentials.readline()
self.detectorNumber = credentials.readline()
credentials.close()
# Instantiate Twilio object
self.twilioClient = Client(account_sid, auth_token)
self.phoneNumbers = app.numbers.split(', ')
def check_sightengine_properties(path):
"""
Check some image properties offered by the sigthengine API
(https://sightengine.com/) including:
- Nudity Detection
- Weapons, Alcohol, Drug detection
- Offensive Signs an Gesture detection
- Minors detection
- Image Quality detection
- Sunglasses detection
"""
#client = SightengineClient('1519637001','knEJCk3vyKorBydqMPek')
client = SightengineClient('250594697', '54GphLZgSBoenkVfXMPX')
output = client.check('nudity', 'wad', 'properties', 'offensive', 'scam',
'text-content', 'face-attributes',
'text').set_file(os.path.abspath(path))
# Adjust the dictionary to our requirements
del output['status']
del output['request']
del output['colors']
del output['media']
del output['text']
# 0 = Low, 1 = High
output['scam'] = 1 if output['scam']['prob'] > 0.75 else 0
print(output["nudity"])
output['nudity'] = 1 if output['nudity']['partial'] > 0.85 else 0
output[
'minor'] = 1 if output['faces'][0]['attributes']['minor'] > 0.75 else 0
output['sunglasses'] = 1 if output['faces'][0]['attributes'][
'sunglasses'] > 0.75 else 0
output['offensive'] = 1 if output['offensive']['prob'] > 0.75 else 0
output['sharpness'] = 1 if output['sharpness'] > 0.75 else 0
output['weapon'] = 1 if output['weapon'] > 0.75 else 0
output['alcohol'] = 1 if output['alcohol'] > 0.75 else 0
output['drugs'] = 1 if output['drugs'] > 0.75 else 0
# 0 = OK, 1 = High, 2 = Low
output['contrast'] = 1 if output[
'contrast'] > 0.85 else 2 if output['contrast'] < 0.15 else 0
output['brightness'] = 1 if output[
'brightness'] > 0.85 else 2 if output['brightness'] < 0.15 else 0
del output['faces']
return output
def upload_file():
file = flask.request.files['image']
fpath = os.path.join(app.config['UPLOAD_FOLDER'], file.filename)
ext = file.filename.split('.')[-1]
file_read = file.read()
if ext in ALLOWED_EXT:
try:
sightclient = SightengineClient("1347331372",
"BhoFasNuF3zAGp8XSRXi")
sight_output = sightclient.check('nudity').set_bytes(file_read)
if sight_output['nudity']['safe'] > 0.5:
if ext == 'jpg':
ext = 'jpeg'
headers = {'Content-Type': 'image/%s' % ext.lower()}
req = requests.post("http://95.179.132.93:1337/api/addmeme",
data=file_read,
stream=True,
headers=headers)
json_response = req.json()
try:
if json_response['success'] == True:
return flask.render_template('upload-success.html')
except KeyError as e:
error_msg = json_response['description']
return flask.render_template('upload-failed.html',
error_msg=error_msg)
else:
error_msg = "Meme image has not passed profanity filter. Please do not upload offensive materials."
return flask.render_template('upload-failed.html',
error_msg=error_msg)
except KeyError as e:
error_msg = "Profanity filter max API call limit reached."
return flask.render_template('upload-failed.html',
error_msg=error_msg)
else:
error_msg = "Meme file extension not supported."
return flask.render_template('upload-failed.html', error_msg=error_msg)
def test_nudityModel(self):
client = SightengineClient('1234', 'test')
checkNudity = client.check('nudity')
image = os.path.join(os.path.dirname(__file__), 'assets', 'image.jpg')
output = checkNudity.set_url('https://sightengine.com/assets/img/examples/example5.jpg')
self.assertEqual('success', output['status'])
output2 = checkNudity.set_file(image)
self.assertEqual('success', output2['status'])
with open(image, mode='rb') as img:
binary_image = img.read()
output3 = checkNudity.set_bytes(binary_image)
self.assertEqual('success', output3['status'])
def check_image(pic):
pic = os.path.join(current_app.root_path, 'static/profile_pics', pic)
picsamp = pic.replace('\\', '/')
client = SightengineClient('82714170', 'RT4oo9fZFDbNsrvV6VSp')
output = client.check('nudity', 'wad', 'celebrities', 'scam',
'face-attributes').set_file(picsamp)
invalidImage = False
# contains nudity
if output['nudity']['safe'] <= output['nudity']['partial'] and output[
'nudity']['safe'] <= output['nudity']['raw']:
invalidImage = True
n = Nude(picsamp)
n.parse()
print(n.result, n.message)
return invalidImage
def signup(request):
if request.method == "POST":
print("zzz", request.method)
name = request.POST['name']
user_id = request.POST['user_id']
password = request.POST['password']
password2 = request.POST['password2']
nickname = request.POST['nickname']
gender = GENDER_OPTION[1] if request.POST[
'gender'] == 'male' else GENDER_OPTION[0]
age = request.POST['age']
file_to_upload = request.FILES.get('img')
session = Session(aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
region_name=AWS_S3_REGION_NAME)
# s3 = session.resource('s3')
now = datetime.now().strftime("%Y%H%M%S")
# img_object = s3.Bucket(AWS_STORAGE_BUCKET_NAME).put_object(
# Key = user_id+now,
# Body = file_to_upload
# )
# s3_url = "https://tripmate-storage.s3.ap-northeast-2.amazonaws.com/"
client = SightengineClient('1514919083', 'vHQ735wsS4nPrHYkyB2T')
# output = client.check('nudity').set_url(s3_url + user_id + now)
# output_nudity = output["nudity"]
# raw = output_nudity['raw']
# safe = output_nudity['safe']
# partial = output_nudity['partial']
# print(raw,safe,partial)
# if(raw > 0.6 or partial > 0.6 or len(output_nudity) != 3 ):
# return redirect('check')
# else:
if password == password2:
user = User.objects.create_user(
username=user_id,
password=password,
)
user.profile.name = name
user.profile.nickname = nickname
user.profile.gender = gender
user.profile.age = age
# user.profile.photo = s3_url + user_id + now
print(user)
user.save()
login_user = django_authenticate(username=user_id, password=password)
django_login(request, login_user)
return redirect('main')
return render(request, 'accounts/signup.html')
def get_frame(self):
# Using OpenCV to capture from device 0. If you have trouble capturing
# from a webcam, comment the line below out and use a video file
# instead.
self.video = cv2.VideoCapture(0)
img_counter = 0
while True:
ret, frame = self.video.read()
#cv2.imshow("test", frame)
if not ret:
break
k = cv2.waitKey(1)
if k%256 == 27:
# ESC pressed
print("Escape hit, closing...")
break
elif keyboard.is_pressed('space'):
# SPACE pressed
img_name = "opencv_frame_{}.png".format(img_counter)
cv2.imwrite(img_name, frame)
print("{} written!".format(img_name))
client = SightengineClient('523702522', 'SoMh4T2mBCTB848RmhqS')
output = client.check('celebrities').set_file('/Users/jeffrosal1/Desktop/NUhomework/project3/combined/flasktest/opencv_frame_0.png')
print(output)
set_api_key("i0bqh0wRTlMqHMTHXZPxXFumRAcETw698GaIqBN9vuM")
# when sending a image file
path = "/Users/jeffrosal1/Desktop/NUhomework/project3/combined/flasktest/opencv_frame_0.png"
emoout = paralleldots.facial_emotion(path)
print(emoout)
rete, jpeg = cv2.imencode('.jpg', frame)
return jpeg.tobytes()
def main():
# 我使用的是 SightengineApi(“用戶api”，“秘密api”）:
client = SightengineClient('1069852127', 'tLNDZxAArCRND5p8qt7A')
# 特別整數:
theSpecialInteger = 18
# 獲取用戶輸入:
dataLocation = input("Please input the data: \n")
# 打開用戶輸入數據
__image = Image.open(dataLocation)
# 使用 Numpy 將圖像轉換為數組
np__image = np.array(__image)
# 打印出數組的結果
print("Converted Image to Array ", np__image)
# 得到十八和以前結果的差別
np__image = np__image - theSpecialInteger
# 從數組創建新圖像
new_image = Image.fromarray(np__image)
# 保存圖片
#new_image.save("output.png")
# 聲明 SightengineApi 檢測功能
output = client.check("nudity", "wad", "offensive", "faces",
"face-attributes",
"celebrities").set_file(dataLocation)
# 將輸出和結果打印為 <<json>> 格式
print(json.dumps(output, indent=6, sort_keys=True))
# 基於操作系統打開圖像或視頻
computer_platform = p.system()
if computer_platform == "Windows":
__image.show()
print("以下图像是明确的并且不合适的")
elif computer_platform == "Darwin":
__image.show()
print("以下图像是明确的并且不合适的")
elif computer_platform == "Linux":
__image.show()
print("以下图像是明确的并且不合适的")
else:
print("can't open image")
def get_frame(self):
# Using OpenCV to capture from device 0. If you have trouble capturing
# from a webcam, comment the line below out and use a video file
# instead.
self.video = cv2.VideoCapture(0)
img_counter = 0
while True:
ret, frame = self.video.read()
#cv2.imshow("test", frame)
if not ret:
break
k = cv2.waitKey(1)
if k % 256 == 27:
# ESC pressed
print("Escape hit, closing...")
break
elif keyboard.is_pressed('space'):
# SPACE pressed
img_name = "opencv_frame_{}.png".format(img_counter)
cv2.imwrite(img_name, frame)
print("{} written!".format(img_name))
client = SightengineClient('', '')
output = client.check('celebrities').set_file('')
print(output)
set_api_key("")
# when sending a image file
path = ""
emoout = paralleldots.facial_emotion(path)
print(emoout)
rete, jpeg = cv2.imencode('.jpg', frame)
return jpeg.tobytes()
class SightEngineParser():
def load_apis(self):
with open('api_keys.json') as f:
self.api_keys = json.load(f)
def initialize_client(self):
self.load_apis()
self.client = SightengineClient(self.api_keys['SIGHTENGINE_API_ID'], self.api_keys['SIGHTENGINE_API_KEY'])
def fetch_results(self, filepath):
try:
return self.client.check('nudity', 'type', 'properties', 'wad', 'face').set_file(filepath)
except:
return None
def process_image():
"""Convert and analyze image, add to DB"""
privacy = request.form["privacy"]
img = request.files["img_file"]
# Define path and save image to local directory
img_path = UPLOAD_FOLDER + img.filename
img.save(img_path)
#SightEngine check image for nudity/weapons/drugs
client = SightengineClient('860162422', 'eFiRDeywSC9mCCjXse5q')
output = client.check('nudity','wad').set_file(img_path)
print(output)
if output['weapon'] > 0.8:
message = "Weapons detected, please upload a different image."
print("NO WEAPONS")
return jsonify({'error_message': message})
elif output['alcohol'] > 0.8:
message = "Drugs or alcohol detected, please upload a different image."
print("NO ALCOHOLS")
return jsonify({'error_message': message})
elif output['nudity']['raw'] > 0.5:
message = "Nudity detected, please upload a different image."
print("NO NAKEY PICS")
return jsonify({'error_message': message})
else:
# Convert image and analyze, redirect to homepage
upload = convert_resize_image(img_path, privacy)
img_id = upload.img_id
img_url = upload.img_url
results = {"id": img_id, "url": img_url}
pillow_analyze_image(img_path)
# Return results
return jsonify(results)
def find(self, limit=100, start=0, memechain_height=0):
sightclient = SightengineClient("1347331372", "BhoFasNuF3zAGp8XSRXi")
timeline = []
for ident in range(start, start + limit):
meme_height = memechain_height - ident
rawdata_meme = getJSON("%s/getmemedatabyheight/%s" %
(self.api_root, str(meme_height)))['result']
sight_output = sightclient.check('nudity').set_url(
'https://ipfs.io/ipfs/%s' % rawdata_meme['ipfs_id'])
try:
if sight_output['nudity']['safe'] > 0.5:
timeline.append(
dict(rawdata_meme, **{'meme_height': meme_height}))
else:
pass
except KeyError as e:
timeline.append(
dict(rawdata_meme, **{'meme_height': meme_height}))
return timeline
def post_news(request):
"""A function view to implement the post functionality with AJAX allowing
to create News instances as parent ones."""
user = request.user
post = request.POST["post"]
post = post.strip()
r_image = re.compile(r".*\.(jpg|png|gif).*$")
image = None
if request.FILES:
image = request.FILES['image']
client = SightengineClient('137076993', 'XHSoBHy4jQM2yn8YEn8Y')
output = client.check('nudity', 'faces').set_bytes(image.file.read())
if output['nudity']['raw'] > 0.5:
return HttpResponseBadRequest(
content=_(
f"The image contains nudity. Please reconsider "
f"your existence in this platform "
f"or you will be banned.")
)
post_url = re.search("(?P<url>https?://[^\s]+)", post)
if post_url and r_image.match(post_url.group("url")):
client = SightengineClient('137076993', 'XHSoBHy4jQM2yn8YEn8Y')
output = client.check('nudity', 'faces').set_url(post_url.group("url"))
if output['nudity']['raw'] > 0.5:
return HttpResponseBadRequest(
content=_(
f"The image contains nudity. Please reconsider "
f"your existence in this platform "
f"or you will be banned.")
)
if len(post) <= 280:
posted = News.objects.create(user=user, content=post, image=image)
html = render_to_string(
"news/news_single.html", {"news": posted, "request": request}
)
return HttpResponse(html)
else:
length = len(post) - 280
return HttpResponseBadRequest(
content=_(f"Text is {length} characters longer than accepted.")
)
def test_feedback(self):
client = SightengineClient('1234', 'test')
feedback1 = client.feedback('nudity', 'raw', 'https://sightengine.com/assets/img/examples/example5.jpg')
self.assertEqual('success', feedback1['status'])
image = os.path.join(os.path.dirname(__file__), 'assets', 'image.jpg')
feedback2 = client.feedback('nudity', 'safe', image)
self.assertEqual('success', feedback2['status'])
feedback3 = client.feedback('model9999', 'raw', 'https://sightengine.com/assets/img/examples/example5.jpg')
self.assertEqual('failure', feedback3['status'])
self.assertEqual('argument_error', feedback3['error']['type'])
feedback4 = client.feedback('nudity', 'raw9999','https://sightengine.com/assets/img/examples/example5.jpg')
self.assertEqual('failure', feedback4['status'])
self.assertEqual('argument_error', feedback4['error']['type'])
# ---- Change all the values that are marked with the comment CHANGE ----
# CHANGE root directory where photos are
root_dir = '/Users/josephbarbosa/Desktop/Wedding'
# CHANGE THIS IF YOU WANT TO CHANGE THRESHOLD
threshold = 0.95
# CHANGE your SightEngine API Key (Upon Making Account)
api_user_id = '1609359767'
api_key = '6HKCsvjxvKDa6c4uk8md'
#################################################################################
# Connecting to the Sight Engine API
client = SightengineClient(api_user_id, api_key)
# Holding the file_name and the associated sharpness value.
result = {}
results = open("analyzed.txt", "w+")
results_analyzed = open("algorithm_results.txt", "w+")
exception_stop = open("exception_stop.txt", "w+")
results.write("ALL files and their sharpness values\n\n")
results_analyzed.write(
"Files and Sharpness values BASED ON GIVEN 0.95 THRESHOLD\n\n")
# For each file/picture in the directory
for directory, subdirectories, files in os.walk(root_dir):
from googletrans import Translator
import requests
from io import BytesIO
from PIL import Image
from sightengine.client import SightengineClient
import pytesseract
import urllib.request
import speech_recognition as sr
app = Flask(__name__)
#with open('tokenizer.pickle', 'rb') as handle:
#tokenizer = pickle.load(handle)
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
client = SightengineClient('510188098', 'WaehbLBjT3mYTmnxDsp3')
model = pickle.load(open(r"hatespeech\saved_models\lr_model.pkl",
'rb')) #path to hate speech model
vect = pickle.load(open(r"hatespeech\saved_models\vectorizer.pkl",
'rb')) #path to hate speech vectorizer
spam_model = pickle.load(
open(r"Spam Classifier\saved_models\lr_model.pkl",
'rb')) #path to spam model
spam_vect = pickle.load(
open(r"Spam Classifier\saved_models\vectorizer.pickle",
'rb')) ##path to spam vectorizer
#model = keras.models.load_model('model.h5')
violence_model = keras.models.load_model(
import os
from flask import Flask, render_template, request
from sightengine.client import SightengineClient
app = Flask(__name__)
client = SightengineClient('582470628', 'VbcsYgVEEwkWEMfbLqqi') # don't forget to add your credentials
UPLOAD_FOLDER = os.path.basename('uploads')
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
@app.route('/')
def hello_world():
return render_template('index.html')
@app.route('/upload', methods=['POST'])
def upload_file():
file = request.files['image']
filename = os.path.join(app.config['UPLOAD_FOLDER'], file.filename)
file.save(filename)
invalidImage = False
output = client.check('nudity', 'wad', 'celebrities', 'scam', 'face-attributes').set_file(filename)
# contains nudity
if output['nudity']['safe'] <= output['nudity']['partial'] and output['nudity']['safe'] <= output['nudity']['raw']:
invalidImage = True
# contains weapon, alcohol or drugs
if output['weapon'] > 0.2 or output['alcohol'] > 0.2 or output['drugs'] > 0.2:
invalidImage = True
#!/usr/bin/env python3
import billiard as mp
import twitterdata
import csv_utils
import pprint
from sightengine.client import SightengineClient
from creds import client_access, all_creds, current_cred
import requests
import json
import sys
import os
from app import celery_app
client = SightengineClient(all_creds[current_cred][0],
all_creds[current_cred][1])
def getOutput(my_url_list):
global client, all_creds, current_cred
output_list = []
for my_url in my_url_list:
if current_cred >= len(all_creds):
current_cred = 0
raise Exception(
'You have reached the daily limit of 1500 requests!')
break
result = client.check('wad').set_url(my_url)
while result['status'] != 'success':
result = client.check('wad').set_url(my_url)
print(result)
from sightengine.client import SightengineClient
client = SightengineClient('API user', 'API secret')
##### feedback
feedback1 = client.feedback(
'nudity', 'raw',
'https://d3m9459r9kwism.cloudfront.net/img/examples/example5.jpg')
feedback2 = client.feedback('nudity', 'safe', '/path/to/local/file.jpg')
print(feedback1)
print(feedback2)
####### check image
checkNudity = client.check('nudity')
output = checkNudity.set_file('/path/to/local/file.jpg')
output2 = checkNudity.set_url(
'https://d3m9459r9kwism.cloudfront.net/img/examples/example5.jpg')
# assign binary_image
output3 = checkNudity.set_bytes(binary_image)
print(output)
print(output2)
print(output3)
####### check video
