Update app.py

app.py

@@ -28,14 +28,17 @@ st.write("Upload an image to detect vehicle license plates along with their conf
 uploaded_image = st.file_uploader("Choose an image", type=["jpg", "jpeg", "png"])
 
 if uploaded_image is not None:
+    # Save the uploaded image to a temporary file
+    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".jpg")  # Ensure proper file extension
+    temp_file.write(uploaded_image.read())
+    temp_file.close()
+
     # Display the uploaded image
-    image = Image.open(uploaded_image)
+    image = Image.open(temp_file.name)
     st.image(image, caption="Uploaded Image", use_column_width=True)
 
     # Run YOLOv8 inference
     with st.spinner("Running detection..."):
-        temp_file = tempfile.NamedTemporaryFile(delete=False)
-        temp_file.write(uploaded_image.read())
         results = model(temp_file.name)
 
     # Draw bounding boxes and confidence scores on the image
@@ -60,3 +63,6 @@ if uploaded_image is not None:
     # Show individual detections in a table
     st.write("### Detection Results")
     st.write(results_table)
+
+# Remove temporary files (optional cleanup)
+os.unlink(temp_file.name)