Upload app.py

app.py

@@ -30,7 +30,7 @@ def predict_emotion(frame):
 			prediction = model.predict(face)
 			if any(prob >.5 for prob in prediction[0]):
 				emotion = emotions[np.argmax(prediction)]
-				cv2.putText(frame, emotion, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (128, 128, 0), 2)
+				cv2.putText(frame, emotion, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
 				cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 0), 2)
 			else:
 				cv2.putText(frame, low_confidence_alert, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0),