use case

app.py

@@ -10,33 +10,42 @@ db = client.get_collection(name="banks")
 
 
 
-def greet(issue):
+def similar(issue):
   global db
   docs = db.query(query_texts=issue, n_results=5)
   return docs
 
 
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text", title="NLP Leads Generation", description="""
+iface = gr.Interface(fn=similar, inputs="text", outputs="text", title="NLP Leads Generation", description="""
   Data Scientist: Kevin Wong
+  ============
+  open source ml bank dataset
+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""",
- article="""
- put in the issue regarding service, sales, point of failure, product, trend to find out what customer talking about
- 
-Client Experience
-----------
- - having bad client experience
- - having credit card problem
- - late payment fee
- - credit score dropping
- 
-Marketing Leads
-----------
- - low interest credit card
- 
-Sentiments
----------
- - upset customer
+                     article="""
+      
+Description:
+=======
+In today's dynamic financial landscape, the Semantic Similarity Document Search (SSDS) capability is a practical innovation to improve client experience, marketing leads, and sentiment analysis. As a Data Scientist with a decades in the financial industry, I see the value of SSDS in action.
+
+Client Experience:
+------
+When a client faces a bad experience, SSDS helps us swiftly locate relevant documents to understand and address their concerns, be it credit card issues, late payment fees, or credit score drops.
+
+Marketing Leads:
+------
+To enhance marketing strategies, SSDS identifies market trends and consumer preferences, such as the demand for low-interest credit cards. It's a treasure trove for refining our product offerings.
+
+Sentiments:
+------
+SSDS tracks customer sentiment, empowering us to swiftly respond to upset customers. It ensures we address their issues promptly, enhancing trust and loyalty.
+With no need for jargon, SSDS delivers tangible value to our fintech operations. It's about staying agile, informed, and customer-centric in a rapidly changing financial world.
+
+Future Improvement
+============
+tuning the distance for use case
  
  """)
 iface.launch()