Update app.py

app.py

@@ -250,6 +250,11 @@ def run_upload_initial():
         uploaded_files = st.file_uploader(
             "Choose first concept image files", accept_multiple_files=True, type=["png", "jpg", "jpeg"]
         )
+        st.caption(
+            """
+            Files containing your training images (JPG, PNG, etc. size not restricted). These images contain your 'subject' that you want the trained model to embed in the output domain for later generating customized scenes beyond the training images. For best results, use images without noise or unrelated objects in the background.
+            """
+        )
         
         token = st.text_input("Token Name")
         st.caption(
@@ -289,6 +294,11 @@ def run_upload_secondary():
         uploaded_files = st.file_uploader(
             "Choose second concept image files", accept_multiple_files=True, type=["png", "jpg", "jpeg"]
         )
+        st.caption(
+            """
+            Files containing your training images (JPG, PNG, etc. size not restricted). These images contain your 'subject' that you want the trained model to embed in the output domain for later generating customized scenes beyond the training images. For best results, use images without noise or unrelated objects in the background.
+            """
+        )
         token = st.text_input("Token Name")
         st.caption(
             """
@@ -327,6 +337,11 @@ def run_upload_third():
         uploaded_files = st.file_uploader(
             "Choose third concept image files", accept_multiple_files=True, type=["png", "jpg", "jpeg"]
         )
+        st.caption(
+            """
+            Files containing your training images (JPG, PNG, etc. size not restricted). These images contain your 'subject' that you want the trained model to embed in the output domain for later generating customized scenes beyond the training images. For best results, use images without noise or unrelated objects in the background.
+            """
+        )
         token = st.text_input("Token Name")
         st.caption(
             """