| import os |
| import gradio as gr |
|
|
| from helper import load_image_from_url, render_results_in_image |
| from PIL import Image |
| from transformers import pipeline |
|
|
| def get_pipeline_prediction(pil_image): |
| |
| pipeline_output = od_pipe(pil_image) |
| |
| processed_image = render_results_in_image(pil_image, |
| pipeline_output) |
| return processed_image |
|
|
| |
| od_pipe = pipeline("object-detection", model = "facebook/detr-resnet-50") |
|
|
| demo = 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") |
| ) |
|
|
| demo.launch(share=True) |
