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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):
pipeline_output = od_pipe(pil_image)
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 predicted instances",
type="pil")
)
demo.launch() |