Update app.py

app.py

@@ -32,23 +32,6 @@ pipe = load_model()
 # Create file uploader
 uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
 
-# Add example images
-st.markdown("### Or try an example:")
-col1, col2 = st.columns(2)
-
-EXAMPLE_1 = "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/person1.jpg"
-EXAMPLE_2 = "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/person2.jpg"
-
-with col1:
-    if st.button("Example 1"):
-        st.session_state.example_image = EXAMPLE_1
-        st.session_state.example_loaded = True
-
-with col2:
-    if st.button("Example 2"):
-        st.session_state.example_image = EXAMPLE_2
-        st.session_state.example_loaded = True
-
 # Function to get top prediction
 def get_top_prediction(predictions):
     # Get the prediction with highest confidence