Update app.py

app.py

@@ -1,7 +1,9 @@
 import gradio as gr
 from deepface import DeepFace
 
-db_path='https://huggingface.co/spaces/ipvikas/ImageProcessing/blob/main/MyPhotos'
+#db_path='https://huggingface.co/spaces/ipvikas/ImageProcessing/blob/main/MyPhotos'
+
+db_path='https://huggingface.co/spaces/ipvikas/ImageProcessing/commit/c65e002550d4c148da1bb94c114373b2272f4d88#d2h-994579'
 
 #from datasets import load_dataset
 #db_path= load_dataset("imagefolder", data_files="https://huggingface.co/spaces/ipvikas/ImageProcessing/blob/main/PhotoDataSet.zip")
@@ -10,8 +12,11 @@ db_path='https://huggingface.co/spaces/ipvikas/ImageProcessing/blob/main/MyPhoto
 import pandas as pd
 def get_deepface(image):
     df = DeepFace.find(img_path=image, db_path=db_path)
-    return DeepFace.analyze(img_path=image)
-
+    d = DeepFace.analyze(img_path=image)
+    new_list = zip(d.keys(), d.values()) 
+    new_list = list(new_list)
+    return new_list 
+ 
 description = "Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace and Dlib."
 
 facial_attribute_demo = gr.Interface(