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predict.command
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#!/usr/bin/env python
import csv
import time
import pandas as pd
import numpy as np
from tensorflow.keras.models import load_model
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from datetime import datetime
import smtplib
model = load_model('/Users/jay/Documents/Projects/NUS-Hack-Roll-2020/model.h5')
def email():
dateTimeObj = datetime.now()
gmail_user = 'botvigilant@gmail.com'
gmail_password = 'jaygupta123456789'
sent_from = gmail_user
to = 'damanimehul24@gmail.com'
msg = MIMEMultipart('alternative')
msg['Subject'] = "Distress Call Alert!"
msg['From'] = gmail_user
msg['To'] = to
html = """\
<html>
<head></head>
<body>
<h2>Distress Alert</h2>
<p>Dear Mehul,<br />
This is a distress call from Jay Gupta who has listed you as an emergency contact. Please take suitable action for the same.<br /><br />
<strong>Details:</strong><br />
<strong>Time: </strong> """ + str(dateTimeObj) + """ <br />
<strong>Place: </strong> Tembusu College, 26 College Avenue East, Singapore</p>
<br />
<hr />
<p>This was a auto-generated e-mail by VigilantBot.</p>
</body>
</html>
"""
part1 = MIMEText(html, 'html')
msg.attach(part1)
try:
server = smtplib.SMTP_SSL('smtp.gmail.com', 465)
server.ehlo()
server.login(gmail_user, gmail_password)
server.sendmail(sent_from, to, msg.as_string())
server.close()
print()
print("==================")
print("Distress E-Mail Sent!")
print("==================")
print()
except Exception as e:
print(e)
def predict(i):
df = pd.read_csv(
"/Users/jay/Documents/Projects/NUS-Hack-Roll-2020/test.csv")
flatten_data = np.array(df.values.flatten())
flatten_data = np.array(flatten_data[i:i+480])
return flatten_data
def panda():
i = 0
count = 1
snap_count = 0
distress_email = 0
j = 0
k = 0
t = -205
while(1):
try:
k = k+1
input_data = []
input_data.append(predict(i))
input_data = np.array(input_data)
result = model.predict(input_data)
ans = result[0]
ans_f = ans[0]
# print(ans_f)
if (k-t) == 200:
snap_count = 0
if(snap_count >= 4 and snap_count != 0 and (k-t) > 200):
email()
snap_count = 0
t = k
if(ans_f > 0.5):
print("==================")
print("Gesture Initiated!")
print("==================")
snap_count = snap_count+1
else:
print("--")
i = i + 60
count = count + 1
# print(count)
time.sleep(0.7)
except Exception as e:
time.sleep(2)
continue
panda()