Create app.py

app.py

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+import gradio as gr
+from transformers import DetrImageProcessor, DetrForObjectDetection
+import torch
+from PIL import Image, ImageDraw
+
+processor = DetrImageProcessor.from_pretrained("joortif/practica_2")
+model = DetrForObjectDetection.from_pretrained("joortif/practica_2")
+
+def detect_objects(img: Image.Image):
+    inputs = processor(images=img, return_tensors="pt")
+    outputs = model(**inputs)
+
+    target_sizes = torch.tensor([img.size[::-1]])  #
+    results = processor.post_process_object_detection(
+        outputs, target_sizes=target_sizes, threshold=0.9
+    )[0]
+
+    draw = ImageDraw.Draw(img)
+    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
+        box = [round(i, 2) for i in box.tolist()]
+        draw.rectangle(box, outline="red", width=3)
+        draw.text((box[0], box[1]), f"{model.config.id2label[label.item()]}: {score:.2f}", fill="red")
+    
+    return img