Gradio app - initial

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+data/protein_dendrogram.png filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,25 @@
+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')
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Protein similarity from BERT point of view")
+    gr.Markdown(text)
+
+    gr.Image(image_path,
+             label="Right click to zoom in new tab.",
+             container=True
+             )
+
+    gr.DataFrame(protein_clusters,
+                 interactive=True,
+                 wrap=False,
+                 column_widths=[5, 5, 30, 30, 30])
+
+demo.launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio==4.31.1
+pandas==2.2.2
+openpyxl==3.1.2