app.py

import gradio as gr
from transformers import pipeline
from PIL import Image
from helper import load_image_from_url, render_results_in_image


def get_pipeline_prediction(pil_image):
    
    od_pipe = pipeline("object-detection", "facebook/detr-resnet-50")
    
    pipeline_output = od_pipe(pil_image)
    
    processed_image = render_results_in_image(pil_image,
                                            pipeline_output)
    return processed_image


gr.Interface(
  fn=get_pipeline_prediction,
  inputs=gr.Image(label="Input image", 
                  type="pil"),
  outputs=gr.Image(label="Output image with predicted instances",
                   type="pil")
)