Create app.py

app.py

@@ -0,0 +1,19 @@
+import os
+import gradio as gr
+
+from transformers import pipeline
+
+od_pipe = pipeline("object-detection", "facebook/detr-resnet-50")
+
+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(enable_queue=True, debug=True)