Update app.py

app.py

@@ -12,7 +12,7 @@ s_raw_model = YOLO("S-Raw.pt")
 
 def snap(image, model, conf, iou):
     # Convert the image to a numpy array
-    type(image)
+    print(type(image))
     image = np.array(image)
 
     # Run the selected model
@@ -61,7 +61,7 @@ def snap(image, model, conf, iou):
 
 demo = gr.Interface(
     snap,
-    [gr.Image(source="webcam", tool=None, streaming=True), gr.inputs.Radio(["M-Raw", "S-Raw", "N-Raw"]), gr.Slider(0, 1, value=0.6, label="Classifier Confidence Threshold"), gr.Slider(0, 1, value=0.7, label="IoU Threshold")],
+    [gr.Image(source="webcam", tool=None, streaming=True), gr.Radio(["M-Raw", "S-Raw", "N-Raw"]), gr.Slider(0, 1, value=0.6, label="Classifier Confidence Threshold"), gr.Slider(0, 1, value=0.7, label="IoU Threshold")],
     ["image"],
     title="Baybayin Instance Detection"
 )