Update app.py

app.py

@@ -3,11 +3,12 @@ import os
 import gradio as gr
 from deepface import DeepFace
 import matplotlib.pyplot as plt
+model_name = 'ArcFace'  #VGG-Face, Facenet, OpenFace, DeepFace, DeepID, Dlib, ArcFace or Ensemble
 
 def get_deepface_verify(img1_path, img2_path, model_name):
-    #img1_detect= DeepFace.detectFace(img1_path)
-    #img2_detect= DeepFace.detectFace(img2_path)
-    model_name = 'ArcFace'  #VGG-Face, Facenet, OpenFace, DeepFace, DeepID, Dlib, ArcFace or Ensemble
+    img1_detect= DeepFace.detectFace(img1_path)
+    img2_detect= DeepFace.detectFace(img2_path)
+    
     result = DeepFace.verify(img1_path=img1_path,img2_path=img2_path,model_name = model_name)
     return result
 
@@ -15,6 +16,6 @@ title = "DeepFace"
 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."
 examples=[["10Jan_1.jpeg"],["10Jan_2.jpeg"]]
 
-facial_attribute_demo = gr.Interface(get_deepface_verify, ["img1_path","img2_path"],[gr.outputs.Label(label="same person"),gr.outputs.Label(label="distance"),gr.outputs.Label(label="max threshold to verify"),gr.outputs.Label(label="model"),gr.outputs.Label(label="similarity metric")],examples=examples, title=title,description=description,theme="darkdefault")
+facial_attribute_demo = gr.Interface(get_deepface_verify, ["image","image"],[gr.outputs.Label(label="same person"),gr.outputs.Label(label="distance"),gr.outputs.Label(label="max threshold to verify"),gr.outputs.Label(label="model"),gr.outputs.Label(label="similarity metric")],examples=examples, title=title,description=description,theme="darkdefault")
 
 facial_attribute_demo.launch(debug=True)