Update app.py

app.py

@@ -34,8 +34,9 @@ with col2:
 # Threshold ratio bar and class name input
 threshold_ratio = st.slider('Select threshold ratio:', min_value=0.0, max_value=1.0, step=0.1, value=0.6)
 class_name = st.text_input('Enter class name:', value='agumon')
-
-if uploaded_image is not None and uploaded_query is not None:
+# 
+start_button = st.button('Start prediction')
+if uploaded_image is not None and uploaded_query is not None and start_button:
     # Process input and query image
     text_queries = [class_name]
     target_sizes = torch.Tensor([image.size[::-1]])