app.py

from transformers import pipeline
from helper import load_image_from_url, render_results_in_image

od_pipe = pipeline("object-detection", "facebook/detr-resnet-50")

import gradio as gr

def get_pipeline_prediction(pil_image):
    #first get the pipeline output given the pil image
    pipeline_output = od_pipe(pil_image)

    #then process the image using the pipeline output
    processed_image = render_results_in_image(pil_image, pipeline_output)
    return processed_image

demo = gr.Interface(
    fn= get_pipeline_prediction,
    inputs=gr.Image(label="Input Image",
                    type="pil"),
                    outputs=gr.Image(label="Output Image with predictions",
                                     type="pil"),
    title="Object Detection API",
    description="Just upload your image and let ObjectDetect API work its magic, revealing the objects waiting to be discovered"
)

demo.launch()