fixed face detection page

pages/4_Face Recognition.py

@@ -27,7 +27,15 @@ def infer(image):
 video_capture = cv2.VideoCapture(0)
 
 def step4_page():
-    st.header("Trying It Out")
+    st.header("Face Recognition: Trying It Out")
+    st.write(
+        """
+        Once the face encodings are obtained, they can be stored in a database or used for face recognition tasks. 
+        During face recognition, the encodings of input faces are compared to the stored encodings (our known-face database) 
+        to determine if a match exists. Various similarity metrics, such as Euclidean distance or cosine similarity, 
+        can be utilized to measure the similarity between face encodings and determine potential matches.
+        """
+    )
     st.info(
         "Now that we know how our face recognition application works, let's try it out!"
     )
@@ -38,7 +46,7 @@ def step4_page():
     if len(face_encodings) > 0:
         for i, face_encoding in enumerate(face_encodings):
             known_face_encoding = np.load(os.path.join(face_encodings_dir, face_encoding))
-            face_name = img.split(".")[0]
+            face_name = face_encoding.split(".")[0]
             known_face_encodings.append(known_face_encoding)
             known_face_names.append(face_name)