diff --git a/deepface/DeepFace.py b/deepface/DeepFace.py
index a328697..ba2e130 100644
--- a/deepface/DeepFace.py
+++ b/deepface/DeepFace.py
@@ -122,8 +122,6 @@ def analyze(img_path, actions= []):
 	
 	print("Actions to do: ", actions)
 	
-	img = functions.detectFace(img_path, (224, 224))
-	
 	#TO-DO: do this in parallel
 	
 	pbar = tqdm(range(0,len(actions)), desc='Finding actions')
@@ -163,6 +161,7 @@ def analyze(img_path, actions= []):
 			resp_obj += emotion_obj
 			
 		elif action == 'age':
+			img = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
 			#print("age prediction")
 			model = Age.loadModel()
 			age_predictions = model.predict(img)[0,:]
@@ -171,6 +170,7 @@ def analyze(img_path, actions= []):
 			resp_obj += "\"age\": %s" % (apparent_age)
 			
 		elif action == 'gender':
+			img = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
 			#print("gender prediction")
 			
 			model = Gender.loadModel()
@@ -184,6 +184,7 @@ def analyze(img_path, actions= []):
 			resp_obj += "\"gender\": \"%s\"" % (gender)
 			
 		elif action == 'race':
+			img = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
 			model = Race.loadModel()
 			race_predictions = model.predict(img)[0,:]
 			race_labels = ['asian', 'indian', 'black', 'white', 'middle eastern', 'latino hispanic']
diff --git a/setup.py b/setup.py
index 4f0c1fb..d7ceb23 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@ with open("README.md", "r", encoding="utf-8") as fh:
 
 setuptools.setup(
     name="deepface",  
-    version="0.0.2",
+    version="0.0.3",
     author="Sefik Ilkin Serengil",
     author_email="serengil@gmail.com",
     description="Deep Face Anaylsis Framework for Face Recognition and Demography",
diff --git a/tests/unit_tests.py b/tests/unit_tests.py
index 9fcb477..6519961 100644
--- a/tests/unit_tests.py
+++ b/tests/unit_tests.py
@@ -6,6 +6,11 @@ import json
 print("Facial analysis tests")
 
 img = "dataset/img4.jpg"
+demography = DeepFace.analyze(img)
+print(demography)
+
+#-----------------------------------------
+
 demography = DeepFace.analyze(img, ['age', 'gender', 'race', 'emotion'])
 
 print("Demography:")