Update app.py

app.py

@@ -22,20 +22,19 @@ st.title("Table Detection in Images")
 uploaded_file = st.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])
 
 # Process Image and Display Results
-if uploaded_file:
+if uploaded_file:    
     image = Image.open(uploaded_file).convert("RGB")
-
-    inputs = image_processor(images=image, return_tensors="pt")
+    inputs = image_processor(images=image, return_tensors="pt")    
     outputs = model(**inputs)
 
-    target_sizes = torch.tensor([image.size[::-1]])
+    target_sizes = torch.tensor([image.size[::-1]])    
     results = image_processor.post_process_object_detection(outputs, threshold=0.9, target_sizes=target_sizes)[0]
 
     st.image(image)  # Display the uploaded image
 
-    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
-        box = [round(i, 2) for i in box.tolist()]
-        st.write(
-            f"Detected {model.config.id2label[label.item()]} with confidence "
-            f"{round(score.item(), 3)} at location {box}"
+    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):        
+        box = [round(i, 2) for i in box.tolist()]        
+        st.write(            
+            f"Detected {model.config.id2label[label.item()]} with confidence "            
+            f"{round(score.item(), 3)} at location {box}"        
         )