file upload gallery

app.py

@@ -1284,13 +1284,14 @@ def content_header():
         st.button("Refresh", on_click=refresh)
 
     with col_run_2:
-        st.subheader('Quick Start', help="")
+        st.subheader('Quick Start')
         st.write('1. We include a single image for testing. Without uploading your own images, you can select options below and press "Start Processing" to try VoucherVision.')
         st.write('2. Name your run --- If the same name already exist, VV will append the date to the run name.')
         st.write('3. Choose a LLM version --- Only LLMs with valid keys will appear in the dropdown list.')
         st.write('4. Select a prompt version --- Start with "Version 2". Custom Prompts will include ".yaml" in the name. You can build your own Custom Prompt in the Prompt Builder.')
         st.markdown('5. Upload images --- Up to ~100 images can be uploaded in the Hugging Face Spaces implementation. If you want to process more images at once (and have more control in general) then use the [GitHub version](https://github.com/Gene-Weaver/VoucherVision). If you pay for persistent storage for your HF Space, then you may be able to process more too.')
     with col_run_3:
+        st.subheader('')
         st.write('6. LeafMachine2 collage --- If selected, LeafMachine2 will isolate all text from the image and create a label collage, which will be sent to the OCR algorithm instead of the full image. This improves OCR detection for small or finely written text.')
         st.write('7. OCR overlay images --- If selected, VoucherVision will overlay the OCR detections onto the input image. This is useful for debugging transcription errors to see if the OCR failed or if the LLM failed.')
         st.write('8. Start processing --- Wait for VoucherVision to finish.')