def callback_detect(call):
user_id = call.message.chat.id
try:
user_img = bot.captured_data_img(user_id)
if user_img is not None:
bot.edit_message_media(
chat_id=user_id,
message_id=call.message.message_id,
media=InputMediaPhoto(
user_img, caption=MsgTemplate.prediction_start_notice()))
processed_photo = predict(user_id)
bot.edit_message_media(
chat_id=user_id,
message_id=call.message.message_id,
media=InputMediaPhoto(
processed_photo,
caption=MsgTemplate.prediction_end_notice()))
bot.answer_callback_query(callback_query_id=call.id,
show_alert=False)
else:
bot.send_message(user_id,
MsgTemplate.captured_image_error(success=False))
except Exception:
bot.send_message(
user_id, MsgTemplate.captured_image_error(exception_occurred=True))
def account(update, context):
if update.message.text == '/cancel':
return cancel(update,context)
elif update.message.text == '/start':
update.message.reply_text('The bot is already active, send me the username of the account you want to verify...')
return ACCOUNT
else:
text = update.message.text
result = predict(text)
currentTime = datetime.datetime.utcnow()+datetime.timedelta(hours=1)
if 5 < currentTime.hour < 12:
time = 'morning'
elif 12 <= currentTime.hour < 18:
time = 'afternoon'
else:
time = 'nightly'
if(result != None):
prediction = getPrediction(result)
if (prediction == "real"):
emote = '✅'
elif (prediction == "fake"):
emote = '❌'
update.message.reply_text(
'Mhhh, {} is the one you chose...\n\n'
'This seems to be a {} {} one to me!\n'
'I\'m quite sure it is. 😉\nIt was fun, send me another one!\n'
'I\'m always up for some {} training! 👨💻'.format(text.lower(), prediction.upper(), emote, time))
else:
update.message.reply_text(
'Mhhh, {} is the one you chose...\n\n'
'Have you wrote it right? 🤔 '
'This user doesn\'t exist! But don\'t worry, retry! '
'I\'m always up for some {} training! 👨💻'.format(text.lower(), time))
return ACCOUNT
def detectApp():
if request.method == "GET":
return str(
'use post method using multipart form data, "file" as param')
# filePath = './uploads/pic1.jpg'
# predictions = predict(filePath, model_path ='trained_model.clf')
# names = []
# for name, (top, right, bottom, left) in predictions:
# print(name)
# names.append(name)
# return str(names)
if request.method == "POST":
if request.files:
image = request.files["file"]
filePath = os.path.join(app.config["IMAGE_UPLOADS"],
image.filename).replace('\\', '/')
image.save(filePath)
print('\033[94m' + filePath + '\033[0m')
predictions = predict(filePath, model_path='trained_model.clf')
names = []
for name, (top, right, bottom, left) in predictions:
print(name)
names.append(name)
return str(names)
return 'wrong input format'
def prediction():
if request.method == "POST":
form_data = request.form
status = predict(form_data["sentence"])
return render_template("final.html", result=status, response=status)
else:
return render_template("final.html")
def f(): t0 = time.time() url = request.query.url p = predict(url) pp = predict_proba(url) t1 = time.time() pt = "Prediction time: "+str(round(t1-t0,2))+"s." return p+"\n"+pp+"\n"+pt
def detector():
user_input = request.args.get('user_input')
print(user_input)
result = detc.predict(user_input)
if result == 1:
resposta = 'Cuidado! Esta notícia é provavelmente fake.'
elif result == 0:
resposta = 'Esta notícia parece verdadeira.'
return render_template('result.html', result=resposta)
def explore(url_name, depth):
root = SpiderTree()
root.name = url_name
root.type = predict(url_name)
if depth > 0:
l = get_linked_urls(url_name)
root.children = []
for u in l:
print u
root.children.append(explore(u, depth-1))
else:
root.children = []
return root
from detector import predict
username = input("Enter the Username to verify: ")
print(predict(username))