Update app.py

app.py

@@ -7,6 +7,7 @@ import io
 import pyttsx3
 import time
 import os
+import subprocess
 
 
 aws_key_id = os.environ['aws_access_key_id']
@@ -38,6 +39,11 @@ def speak_text(text):
         engine.setProperty('rate', 185)
         engine.say(text)
 
+
+def espeak(text: str, pitch: int=50) -> int:
+    """ Use espeak to convert text to speech. """
+    return subprocess.run(['espeak', f'-p {pitch}', text]).returncode
+
 def recognize_emotions(image):
     """
     This function takes an image as input, and returns the emotion with the highest confidence level in the face using AWS Rekognition
@@ -74,7 +80,8 @@ def recognize_emotions(image):
             max_emotion = emotion['Type']
 
 
-    speak_text(f'This person is {max_emotion}')
+    #speak_text(f'This person is {max_emotion}')
+    espeak(f'This person is {max_emotion}')
     
     # Return the emotion with the highest confidence level as a string
     return str(max_emotion)