Update app.py

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 from deepface import DeepFace
 import matplotlib.pyplot as plt
 
-def get_deepface_verify(img1_detect, img2_detect ):
+def get_deepface_verify(img1_path, img2_path):
     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
@@ -15,6 +15,6 @@ 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,["image","image", [gr.outputs.Label(label="sameperson"),gr.outputs.Label(label="distance"),gr.outputs.Label(label="max threshold toverify"),gr.outputs.Label(label="model"),gr.outputs.Label(label="similaritymetric")],enable_queue=True,examples=examples,title=title,description=description,theme="darkdefault").
+facial_attribute_demo = gr.Interface(get_deepface_verify,["image","image", [gr.outputs.Label(label="sameperson"),gr.outputs.Label(label="distance"),gr.outputs.Label(label="max threshold toverify"),gr.outputs.Label(label="model"),gr.outputs.Label(label="similaritymetric")],enable_queue=True,examples=examples,title=title,description=description,theme="darkdefault")
 
 facial_attribute_demo.launch(debug=True)