Wrap and truncate text in dataframe

app.py

@@ -1,25 +1,31 @@
 import gradio as gr
 import pandas as pd
 
-text = "This app displays protein similarity captured in the model " \
-       "[unikei/bert-base-proteins](https://huggingface.co/unikei/bert-base-proteins)."
-
 image_path = "data/protein_dendrogram.png"
 
 protein_clusters = pd.read_excel('data/protein_clusters.xlsx')
+max_length = 500
+protein_clusters['proteins'] = protein_clusters['proteins'].apply(lambda x: x[:max_length] + ('...' if len(x) > max_length else ''))
+protein_clusters['protein groups'] = protein_clusters['protein groups'].apply(lambda x: x[:max_length] + ('...' if len(x) > max_length else ''))
+protein_clusters['protein features'] = protein_clusters['protein features'].apply(lambda x: x[:max_length] + ('...' if len(x) > max_length else ''))
+
 
 with gr.Blocks() as demo:
     gr.Markdown("# Protein similarity from BERT point of view")
-    gr.Markdown(text)
+    gr.Markdown("This app displays protein similarity captured in the model [unikei/bert-base-proteins]("
+                "https://huggingface.co/unikei/bert-base-proteins).")
 
     gr.Image(image_path,
              label="Right click to zoom in new tab.",
              container=True
              )
 
+    gr.Markdown("\n")
+    gr.Markdown("Click on the [link](https://huggingface.co/spaces/unikei/proteins-from-bert-point-of-view/blob/main/data/protein_clusters.xlsx) to download the spreadsheet.")
     gr.DataFrame(protein_clusters,
-                 interactive=True,
-                 wrap=False,
+                 interactive=False,
+                 wrap=True,
                  column_widths=[5, 5, 30, 30, 30])
+    #
 
 demo.launch()