cosmetic changes

app.py

@@ -15,7 +15,7 @@ def convert(file):
     dataframe = pd.read_parquet(bytes)
 
     # dataframe.to_csv('output.csv')
-    return dataframe
+    return dataframe.head(20)
 
 
 with gr.Blocks() as demo:
@@ -24,7 +24,7 @@ with gr.Blocks() as demo:
 
         This tool shows the extraction a dataframe hidden inside an image.
 
-        There are a few ways to hide data into a PNG file, notably:
+        There are a few ways to hide data in a PNG file, notably:
          * adding it after the end of the file (after the PNG IEND chunk), so that it gets
            ignored by image viewers
          * adding it as comments in the PNG file (tEXt chunks)
@@ -40,11 +40,11 @@ with gr.Blocks() as demo:
          channel of the image encodes the data we're interested in.
 
         This means the resulting picture
-         looks **very close to the original image**; and for the data we hide here, it is **inperceptible
+         looks **very close to the original image**; and for the data we hide here, it is **imperceptible
          to the naked eye**.
 
         The resulting PNG file will probably get a little bit bigger as a result, since PNG uses compression,
-         which will have a harder time when we have our stolen data injected into the image. This is
+         which will have a harder time when we have our stolen data injected in the image. This is
          not that much of a problem since it stays <100Ko, so it's not that noticeable.
 
         """)
@@ -68,10 +68,8 @@ with gr.Blocks() as demo:
 
         im.preprocess = preprocess
         df_out = gr.Dataframe(
-            label="Output dataframe", max_rows=20, overflow_row_behaviour="paginate"
+            label="Output dataframe (first 20 rows)", max_rows=20, overflow_row_behaviour="paginate"
         )
-        # file_out = gr.File(label="Full output CSV file")
-    btn = gr.Button(value="Extract")
     gr.Markdown("Click on the example below to get the data from the associated colab notebook :)")
     gr.Examples(
         examples=["sample-picture.png"],
@@ -80,6 +78,8 @@ with gr.Blocks() as demo:
         fn=convert,
         cache_examples=True,
     )
+        # file_out = gr.File(label="Full output CSV file")
+    btn = gr.Button(value="Extract")
     # demo = gr.Interface(convert, im, im_2)
     btn.click(convert, inputs=[im], outputs=[df_out])