add a button to apply tags

app.py

@@ -44,13 +44,13 @@ if uploaded_image_zero_file is not None:
     st.image(outputImage)
 
 if st.button('apply tag'):
-    tags = [texts.split(", ")]
+    tags = [['eggs', 'apple', 'pear']]
     inputs = processor(text=tags, images=image, return_tensors="pt")
     outputs = model(**inputs)
     target_sizes = torch.Tensor([image.size[::-1]])
     results = processor.post_process_object_detection(outputs=outputs, threshold=0.1, target_sizes=target_sizes)
     i = 0  # Retrieve predictions for the first image for the corresponding text queries
-    text = texts[i]
+    text = tags[i]
     boxes, scores, labels = results[i]["boxes"], results[i]["scores"], results[i]["labels"]
     st.write(results)
     # Print detected objects and rescaled box coordinates