Update app.py

app.py

@@ -46,7 +46,7 @@ if submit:
     image_data=input_image_setup(uploaded_file)
     st.subheader("The response is..")
     #process with model
-    inputs = processor(images=image, return_tensors="pt")
+    inputs = processor(images=image_data, return_tensors="pt")
     outputs = model(**inputs)
 
     # model predicts bounding boxes and corresponding COCO classes
@@ -56,8 +56,8 @@ if submit:
     target_sizes = torch.tensor([image.size[::-1]])
     results = image_processor.post_process_object_detection(outputs, threshold=0.9, target_sizes=target_sizes)[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}"
-    )
+        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}"
+        )