app.py

"""Signature Detection Demo using YOLOS"""

import gradio as gr

from transformers import pipeline

# 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-small",
    description=(
        "Upload a scanned document, form, or contract to detect **handwritten signatures** "
        "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_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"),
    flagging_mode="never",
)
interface.launch()