add files

bot.py

@@ -0,0 +1,65 @@
+
+# -*- coding: utf-8 -*-
+from chatterbot import ChatBot
+from chatterbot.trainers import ListTrainer
+top = {'Brand': 'M&S', 'type': 'shirt', 'Size': 'Medium','Color':'Blue','Price':'30$'}
+bottom = {'Brand': 'M&S', 'type': 'short', 'Size': 'Medium','Color':'white','Price':'20$'}
+
+var=7
+chatbot = ChatBot("luis")
+conversation = [
+    "Hello",
+    "Hi there!",
+    "How are you doing?",
+    "I'm doing great.",
+    "That is good to hear",
+    "Thank you.",
+    "You're welcome.",
+    "bye",
+    "See you"
+]
+
+chatbot.set_trainer(ListTrainer)
+chatbot.train(conversation)
+
+
+chatbot.train([
+    "Hi there!",
+    "Hello",
+])
+
+chatbot.train([
+    "Hi there!",
+    "Hello",
+])
+
+chatbot.train([
+    "Greetings!",
+    "Hello",
+])
+
+chatbot.train([
+    "How many people have seen you today?",
+    var
+]) 
+
+chatbot.train([
+    "What are you wearing?",
+    "im wearing a %s %s" %(top['Color'],top['type'])
+]) 
+
+
+
+chatbot.train([
+    "Greetings!",
+    "Hello",
+])
+
+say = raw_input("Ask something : ")
+while(say!="bye"):
+    response = chatbot.get_response(say)
+    print(response)
+    say = raw_input("Ask something : ")
+
+response = chatbot.get_response(say)
+print(response)

test.py

@@ -0,0 +1,150 @@
+import cv2
+import cognitive_face as CF
+import MySQLdb
+
+# Camera 0 is the integrated web cam on my netbook
+camera_port = 0
+
+#Number of frames to throw away while the camera adjusts to light levels
+ramp_frames = 1
+
+# Now we can initialize the camera capture object with the cv2.VideoCapture class.
+# All it needs is the index to a camera port.
+
+
+# Captures a single image from the camera and returns it in PIL format
+
+
+# Ramp the camera - these frames will be discarded and are only used to allow v4l2
+# to adjust light levels, if necessary
+db1 = MySQLdb.connect("localhost","root","","MyDB")
+cursor = db1.cursor()
+sql = 'CREATE DATABASE MyDB'
+#cursor.execute(sql)
+table = 'CREATE TABLE MyTable5 (gender VARCHAR(10),age INTEGER,moustache VARCHAR(20), beard VARCHAR(20), sideburns VARCHAR(20),smile VARCHAR(20))'
+#cursor.execute(table)
+
+PersonTable = 'CREATE TABLE Person(id INTEGER,avg_smile DOUBLE,age INTEGER,gender VARCHAR(20))'
+#cursor.execute(PersonTable)
+person=0
+uninterested_person=0
+c=0
+x=0
+avg_smile=0
+sum=0
+result1=""
+flag=0
+while(1):
+
+	camera = cv2.VideoCapture(camera_port)
+
+	def get_image():
+	# read is the easiest way to get a full image out of a VideoCapture object.
+		retval, im = camera.read()
+		return im
+
+	for i in xrange(ramp_frames):
+	 temp = get_image()
+	#print("Taking image...")
+	# Take the actual image we want to kee
+
+	camera_capture = get_image()
+	file = "test_image.png"
+	# A nice feature of the imwrite method is that it will automatically choose the
+	# correct format based on the file extension you provide. Convenient!
+	cv2.imwrite(file, camera_capture)
+
+	# You'll want to release the camera, otherwise you won't be able to create a new
+	# capture object until your script exits
+	del(camera)
+
+	KEY = 'ce99e4de092c491bbf473609d6538e89'  # Replace with a valid Subscription Key here.
+	CF.Key.set(KEY)
+
+	img_url = 'test_image.png'
+	result = CF.face.detect(img_url,True,False,'age,gender,smile,facialHair')
+	if (c==0):
+		result1 = result
+	print result
+	if not result:
+		break;
+	no_of_ppl=len(result)
+
+	for j in range(0,no_of_ppl):
+		age = result[j]['faceAttributes']['age']
+		gender = result[j]['faceAttributes']['gender']
+		moustache = result[j]['faceAttributes']['facialHair']['moustache']
+		beard = result[j]['faceAttributes']['facialHair']['beard']
+		sideburns = result[j]['faceAttributes']['facialHair']['sideburns']
+		smile = result[j]['faceAttributes']['smile']
+		cursor.execute('''INSERT into MyTable5 (gender, age, moustache, beard, sideburns, smile)
+				  values (%s, %s, %s, %s, %s, %s)''',
+					(gender, age,moustache,beard,sideburns,smile))
+		if(c>0):
+			for i in range(0,len(result1)):
+				age = result1[i]['faceAttributes']['age']
+				gender = result1[i]['faceAttributes']['gender']
+				moustache = result1[i]['faceAttributes']['facialHair']['moustache']
+				beard = result1[i]['faceAttributes']['facialHair']['beard']
+				sideburns = result1[i]['faceAttributes']['facialHair']['sideburns']
+				smile = result1[i]['faceAttributes']['smile']
+
+				diff_age=abs(age-result[j]['faceAttributes']['age'])
+				print diff_age
+				if ( gender == result[j]['faceAttributes']['gender'] ):
+					diff_gender=0
+				else:
+					diff_gender=3
+
+				diff_facial=abs(result[j]['faceAttributes']['facialHair']['moustache']-moustache)+abs(result[j]['faceAttributes']['facialHair']['beard']-beard)+abs(result[j]['faceAttributes']['facialHair']['sideburns']-sideburns)
+				if ( diff_age+diff_gender+diff_facial <= 2.6 ):
+					print "Same person"
+					sum = sum + result[j]['faceAttributes']['smile']
+					x=x+1
+					if( x==3 ):
+						person = person + 1
+						sum = sum + smile
+						avg_smile = sum / 3
+						sum = 0
+						x=0
+						if(flag==0):
+							print 'jsadgakj'
+							cursor.execute('''INSERT into Person (id,avg_smile,age,gender)
+							values (%s, %s, %s, %s)''',
+							(person,avg_smile,age,gender))
+							flag=1;
+
+						if (avg_smile>0.5) :
+							print 'Interested'
+						else:
+							print 'NotInterested'
+				else:	
+					print "Not the same person"
+					flag=0
+					uninterested_person=uninterested_person+1
+					x=0
+				result1 = result
+				#print result1
+	c=c+1
+	#print (c)
+
+
+db1.commit()
+#select = 'SELECT COUNT(age) as count FROM MyTable5'
+#cursor.execute(select)
+
+#row = cursor.fetchone()
+
+#while row is not None:
+#			print(row)
+#			row = cursor.fetchone()
+
+persondisplay = 'SELECT * FROM Person WHERE age BETWEEN 25 and 30'
+cursor.execute(persondisplay)
+row = cursor.fetchone()
+
+while row is not None:
+			print(row)
+			row = cursor.fetchone()
+print 'Number Of Uninterested People are : ' 
+print uninterested_person