added examples

app.py

@@ -4,28 +4,28 @@ import gradio as gr
 
 from transformers import pipeline
 
-# load the YOLOs model for signature detection
-pipe = pipeline("object-detection", model="mdefrance/yolos-tiny-signature-detection")
+# load the YOLOS model for signature detection
+pipe = pipeline("object-detection", model="mdefrance/yolos-small-signature-detection")
 
 # Create a Gradio interface for the signature detection model
 interface = gr.Interface.from_pipeline(
     pipe,
-    title="🖊️ Signature Detection with YOLOS-Tiny",
+    title="🖊️ Signature Detection with YOLOS-small",
     description=(
         "Upload a scanned document, form, or contract to detect **handwritten signatures** "
-        "using the [YOLOS-tiny](https://huggingface.co/mdefrance/yolos-tiny-signature-detection) model. "
+        "using the [YOLOS-small](https://huggingface.co/mdefrance/yolos-small-signature-detection) model. "
         "This model uses a lightweight vision transformer trained to locate signature bounding boxes."
     ),
     examples=[
         [
-            "https://github.com/mdefrance/signature-detection/blob/main/src/datasets/images/examples/val_15.jpg?raw=true"
+            "https://github.com/mdefrance/signature-detection/blob/main/src/datasets/images/examples/val_0.jpg?raw=true"
         ],
         [
-            "https://github.com/mdefrance/signature-detection/blob/main/src/datasets/images/examples/val_0.jpg?raw=true"
+            "https://github.com/mdefrance/signature-detection/blob/main/src/datasets/images/examples/val_15.jpg?raw=true"
         ],
     ],
     inputs=gr.Image(label="📤 Upload Image (JPEG, PNG)", type="pil"),
-    outputs=gr.Image(label="📍 Detected Signatures"),
-    allow_flagging="never",
+    # outputs=gr.Image(label="📍 Detected Signatures"),
+    flagging_mode="never",
 )
 interface.launch()