Update app.py

app.py

@@ -18,12 +18,9 @@ outputs = model(**inputs)
 target_sizes = torch.tensor([image.size[::-1]])
 results = processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0]
 
-persons = 0
 for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
     box = [round(i, 2) for i in box.tolist()]
     print(
-        f"Detected {model.config.id2label[label.item()]} with confidence "
-        f"{round(score.item(), 3)} at location {box}"
+            f"Detected {model.config.id2label[label.item()]} with confidence "
+            f"{round(score.item(), 3)} at location {box}"
     )
-    $persons++
-