fix: add explanation

dashboard_image2image.py

@@ -56,13 +56,15 @@ def app():
         (10k images and ~50k captions from the remote sensing domain).
         
         This demo shows the image to image retrieval capabilities of this model, i.e., 
-        given an image file name as a query (we suggest copy pasting the file name
-        from the result of a text to image query), we use our fine-tuned CLIP model 
+        given an image file name as a query, we use our fine-tuned CLIP model 
         to project the query image to the image/caption embedding space and search 
         for nearby images (by cosine similarity) in this space.
         
         Our fine-tuned CLIP model was previously used to generate image vectors for 
         our demo, and NMSLib was used for fast vector access.
+
+        You will need an image file name to start, we recommend copy pasting the
+        file name from one of the results of the text to image search.
     """)
 
     image_file = st.text_input("Image Query (filename):")

dashboard_text2image.py

@@ -61,6 +61,9 @@ def app():
         
         Our fine-tuned CLIP model was previously used to generate image vectors for 
         our demo, and NMSLib was used for fast vector access.
+
+        Some suggested queries to start you off with -- "ships", "school house", 
+        "military installations", "mountains", "beaches", "airports", "lakes", etc.
     """)
 
     query = st.text_input("Text Query:")