Update app.py

app.py

@@ -5,9 +5,7 @@ import cv2
 import gradio as gr
 from PIL import Image
 import numpy as np
-from transformers import pipeline
 
-#pipe = pipeline("image-classification", model="NTQAI/pedestrian_gender_recognition")
 model_path = hf_hub_download(repo_id="arnabdhar/YOLOv8-Face-Detection", filename="model.pt")
 model = YOLO(model_path)
 
@@ -26,9 +24,7 @@ def detect_faces(image):
     for (x, y, w, h) in faces:
         cv2.rectangle(image_np, (x, y), (x+w, y+h), (0, 255, 0), 2)
     
-    #label_out = pipe(image)
-    
-    return (image_np,im)#,label_out[0]['label'])
+    return (image_np,im)
 
 interface = gr.Interface(
     fn=detect_faces,