file upload gallery

app.py

@@ -1219,29 +1219,16 @@ def show_header_welcome():
     st.image(st.session_state.logo, width=250)
 
 def content_header():
-    col_run_1, col_run_2, col_run_3 = st.columns([4,2,2])
-    col_test = st.container()
+    col_run_1, col_run_2, col_run_3, col_run_4 = st.columns([2,2,2,2])
 
-    st.write("")
-    st.write("")
-    st.write("")
     st.write("")
     st.subheader("Overall Progress")
     col_run_info_1 = st.columns([1])[0]
-    st.write("")
-    st.write("")
-    st.write("")
+
     st.write("")
     st.header("Configuration Settings")
 
     with col_run_info_1:
-        # Progress
-        # Progress
-        # st.subheader('Project')
-        # bar = st.progress(0)
-        # new_text = st.empty()  # Placeholder for current step name
-        # progress_report = ProgressReportVV(bar, new_text, n_images=10)
-
         # Progress
         overall_progress_bar = st.progress(0)
         text_overall = st.empty()  # Placeholder for current step name
@@ -1303,11 +1290,12 @@ def content_header():
         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.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.')
         st.write('9. Download results --- Click the "Download Results" button to save the VoucherVision output to your computer. ***Output files will disappear if you start a new run or restart the Space.***')
-        st.write('8. Editing the LLM transcriptions --- Use the VoucherVisionEditor to revise and correct any mistakes or ommissions.')
+        st.write('10. Editing the LLM transcriptions --- Use the VoucherVisionEditor to revise and correct any mistakes or ommissions.')
         # st.subheader('Run Tests', help="")
         # st.write('We include a single image for testing. If you want to test all of the available prompts and LLMs on a different set of images, copy your images into `../VoucherVision/demo/demo_images`.')
         # if st.button("Test GPT",disabled=True):
@@ -1324,7 +1312,7 @@ def content_header():
         #         display_test_results(test_results, JSON_results, 'palm')
         #     st.balloons()
 
-    with col_run_3:
+    with col_run_4:
         st.subheader('Available LLMs and APIs')
         show_available_APIs()
         st.info('Until the end of 2023, Azure OpenAI models will be available for anyone to use here. Then only PaLM 2 will be available. To use all services, duplicate this Space and provide your own API keys.')