Update app.py

app.py

@@ -18,6 +18,9 @@ df_topics_bm25 = gr.State(value=pd.DataFrame({"Topic": [1, 2, 3], "column2": ["A
 with gr.Blocks() as bm25:
     with gr.Row():
         with gr.Column():
+            gr.Title("NAC Product Clustering Analysis", center=True, style={"font-size": "24px", "font-weight": "bold","color": "blue"}),
+            gr.Markdown("This module helps to quickly cluster the products in any excel/csv file for product wise analysis for any NAC(National Assessment centre) of CBIC Indian Customs .", style={"font-size": "18px", "font-weight": "normal","color": "green"})
+           
             gr.Markdown(
                 """
                 # Select a CSV/Excel file with column as 'products'
@@ -44,7 +47,7 @@ with gr.Blocks() as bm25:
             inputfile.upload(confirmation,inputs=[],outputs=out)
             with gr.Row():
               
-                min_cluster_size=gr.Slider(1, 100, value=5, step=1,label="min_cluster_size", info="Choose minimum No. of docs in a cluster. Lower the value ,higher the clusters created")
+                min_cluster_size=gr.Slider(2, 500, value=5, step=1,label="min_cluster_size", info="Choose minimum No. of docs in a cluster. Lower the value ,higher the clusters created")
                 
                 top_n_words=gr.Slider(1, 25, value=10, step=1,label="top_n_words", info="Choose no of key words for a cluster")