add example image etc

Dockerfile

@@ -33,4 +33,4 @@ EXPOSE 8501
 
 HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
 
-ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--browser.gatherUsageStats=false"]

app/app.py

@@ -2,9 +2,10 @@
 
 st.title("Predict SMILES encodings of chemical structure depictions in images")
 
-intro = '''This application allows users to either [upload an image file](/SMILES_from_an_image_file) or [take a picture using their webcam](/SMILES_from_a_webcam_photo)
-and get a prediction the chemical structure depicted in the image in SMILES notation. 
-The chemical structure depiction can be machine or hand drawn.
+intro = '''This application allows users to either upload an image file or take a picture using their webcam
+and get a prediction the chemical structure depicted in the image in SMILES notation. You can navigate using 
+__links in the sidebar to the left__. The chemical structure depiction can be machine or hand drawn. Note that
+loading the pages or getting a prediction may sometimes take a while.
 
 This application is using the [DECIMER Image Transformer](https://github.com/Kohulan/DECIMER-Image_Transformer) (MIT license)
 model to make predictions (as implemented in the [DECIMER Python package](https://pypi.org/project/decimer/)). The DECIMER (Deep lEarning for Chemical ImagE Recognition) addresses the Optical Chemical Structure 

app/pages/01_SMILES_from_an_image_file.py

@@ -13,6 +13,14 @@
 
 st.write("The image files are only stored in RAM memory and are removed as soon as you close or reload the page.")
 
+with open("./test_predictions/example_structure_2.jpg", "rb") as file:
+    btn = st.download_button(
+        label="Download an example image",
+        data=file,
+        file_name="example_structure.jpg",
+        mime="image/jpg",
+    )
+
 st.subheader("Step 1. Upload a file", divider="gray")
 
 # Input widget for users to upload image files from their computer