continue lintings on readme

README.md

@@ -65,7 +65,7 @@ This function verifies face pairs as same person or different persons. It expect
 ```python
 result = DeepFace.verify(
   img1_path = "img1.jpg",
-  img2_path = "img2.jpg"
+  img2_path = "img2.jpg",
 )
 ```
 
@@ -79,7 +79,7 @@ result = DeepFace.verify(
 ```python
 dfs = DeepFace.find(
   img_path = "img1.jpg",
-  db_path = "C:/workspace/my_db"
+  db_path = "C:/workspace/my_db",
 )
 ```
 
@@ -133,20 +133,20 @@ models = [
 result = DeepFace.verify(
   img1_path = "img1.jpg",
   img2_path = "img2.jpg",
-  model_name = models[0]
+  model_name = models[0],
 )
 
 #face recognition
 dfs = DeepFace.find(
   img_path = "img1.jpg",
   db_path = "C:/workspace/my_db", 
-  model_name = models[1]
+  model_name = models[1],
 )
 
 #embeddings
 embedding_objs = DeepFace.represent(
   img_path = "img.jpg",
-  model_name = models[2]
+  model_name = models[2],
 )
 ```
 
@@ -183,14 +183,14 @@ metrics = ["cosine", "euclidean", "euclidean_l2"]
 result = DeepFace.verify(
   img1_path = "img1.jpg", 
   img2_path = "img2.jpg", 
-  distance_metric = metrics[1]
+  distance_metric = metrics[1],
 )
 
 #face recognition
 dfs = DeepFace.find(
   img_path = "img1.jpg", 
   db_path = "C:/workspace/my_db", 
-  distance_metric = metrics[2]
+  distance_metric = metrics[2],
 )
 ```
 
@@ -203,7 +203,7 @@ Deepface also comes with a strong facial attribute analysis module including [`a
 ```python
 objs = DeepFace.analyze(
   img_path = "img4.jpg", 
-  actions = ['age', 'gender', 'race', 'emotion']
+  actions = ['age', 'gender', 'race', 'emotion'],
 )
 ```
 
@@ -238,32 +238,32 @@ backends = [
 obj = DeepFace.verify(
   img1_path = "img1.jpg", 
   img2_path = "img2.jpg", 
-  detector_backend = backends[0]
+  detector_backend = backends[0],
 )
 
 #face recognition
 dfs = DeepFace.find(
   img_path = "img.jpg", 
   db_path = "my_db", 
-  detector_backend = backends[1]
+  detector_backend = backends[1],
 )
 
 #embeddings
 embedding_objs = DeepFace.represent(
   img_path = "img.jpg", 
-  detector_backend = backends[2]
+  detector_backend = backends[2],
 )
 
 #facial analysis
 demographies = DeepFace.analyze(
   img_path = "img4.jpg", 
-  detector_backend = backends[3]
+  detector_backend = backends[3],
 )
 
 #face detection and alignment
 face_objs = DeepFace.extract_faces(
   img_path = "img.jpg", 
-  detector_backend = backends[4]
+  detector_backend = backends[4],
 )
 ```