use case

app.py

@@ -8,6 +8,8 @@ client = chromadb.PersistentClient(path="chroma.db")
 db = client.get_collection(name="banks")
 
 '''
+https://huggingface.co/spaces/kevinhug/clientX
+
 https://dash.elfsight.com
 '''
 counter="""
@@ -37,7 +39,7 @@ iface = gr.Interface(fn=similar, inputs="text", outputs="text",
 https://www.kaggle.com/datasets/trainingdatapro/20000-customers-reviews-on-banks/?select=Banks.csv
 
   Using Sentence Embedding to inject Public ML Banks Text Dataset @ https://github.com/kevinwkc/analytics/blob/master/ai/vectorDB.py""",
-                       css=counter,
+                       custom_js=counter,
                      article="""
       
 Description: