Create app.py

app.py

@@ -0,0 +1,41 @@
+import cv2
+import pyttsx3
+import datetime
+
+engine = pyttsx3.init('sapi5')
+voices = engine.getProperty('voices')
+# print(voices[1].id)
+engine.setProperty('voice', voices[0].id)
+
+
+def speak(audio):
+    engine.say(audio)
+    engine.runAndWait()
+
+
+cap = cv2.VideoCapture(0)
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+smile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')
+eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
+while True:
+    _, frame = cap.read()
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    face = face_cascade.detectMultiScale(gray, 1.3, 4)
+    for x, y, w, h in face:
+        #cv2.rectangle(frame, (x,y), (x+w, y+h), (0, 255, 255), 2)
+        face_roi = frame[x:x+w, y:y+h]
+        gray_roi = gray[x:x+w, y:y+h]
+        eye = eye_cascade.detectMultiScale(gray_roi, 1.3, 50)
+        for x1, y1, w1, h1 in eye:
+            #cv2.rectangle(face_roi, (x1, y1), (x1+w1, y1+h1), (0, 0, 255), 2)
+            smile = smile_cascade.detectMultiScale(gray_roi, 1.3, 25)
+            for x1, y1, w1, h1 in smile:
+                #cv2.rectangle(face_roi, (x1, y1), (x1+w1, y1+h1), (0, 0, 255), 2)
+                timestamp = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
+                filename = f'selfie-{timestamp}.png'
+                cv2.imwrite(filename, frame)
+                speak("Selfie taken")
+
+    cv2.imshow('cam star', frame)
+    if cv2.waitKey(10) == ord('q'):
+        break