app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("object-detection", model="microsoft/table-transformer-detection")

def detect_objects(image):
    result = pipe(image)
    return [{"label": item["label"], "score": item["score"], "box": item["box"]} for item in result]

app = gr.Interface(
    fn=detect_objects,                  
    inputs=gr.Image(type="filepath"),   
    outputs=gr.JSON(),
    title="Object Detection",           
    description="Upload an image to detect objects using Microsoft's Table Transformer model."
)

# Launch the app
if __name__ == "__main__":
    app.launch()