Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import torch
 
 model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt')
-# Define the face detector function
+# Define the face detector function 
 def detect_faces(image):
    # Loading in yolov5s - you can switch to larger models such as yolov5m or yolov5l, or smaller such as yolov5n
     results = model(image)
@@ -12,5 +12,5 @@ def detect_faces(image):
 # Create a Gradio interface
 iface = gr.Interface(fn=detect_faces, inputs=gr.Image(source="webcam", tool =None), outputs="image")
 
-# Launch the interface 
+# Launch the interface
 iface.launch(debug=True)