kevinhug commited on
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  1. app.py +14 -13
app.py CHANGED
@@ -90,7 +90,6 @@ https://www.kaggle.com/datasets/trainingdatapro/20000-customers-reviews-on-banks
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  gr.Examples(
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  [
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  ["having credit card problem"],
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-
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  ["low interest credit card"],
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  ["upset customer"],
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  ["what is the password"],
@@ -102,6 +101,14 @@ Description:
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  =======
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  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.
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  Observability/Cyber Security:
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  ------
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  Proactive Detection: Identify potential fraud threats and vulnerabilities in real-time.
@@ -111,14 +118,6 @@ Customer-Centric Approach: Gain insights into customer concerns, allowing us to
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  ### issue:
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  - what is the password
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- Sentiments:
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- ------
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- SSDS tracks customer sentiment, empowering us to swiftly respond to upset customers. It ensures we address their issues promptly, enhancing trust and loyalty.
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- 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.
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-
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- ### issue:
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- - upset customer
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-
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  Client Experience:
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  ------
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  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.
@@ -129,12 +128,14 @@ When a client faces a bad experience, SSDS helps us swiftly locate relevant docu
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  - late payment fee
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  - credit score dropping
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- Marketing Leads:
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  ------
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- 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.
 
 
 
 
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- ### issue:
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- - low interest credit card
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  """)
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  gr.Examples(
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  [
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  ["having credit card problem"],
 
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  ["low interest credit card"],
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  ["upset customer"],
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  ["what is the password"],
 
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  =======
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  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.
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+ Investment Portfolio Construction/Marketing Leads:
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+ ------
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+ 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.
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+
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+ ### issue:
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+ - low interest credit card
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+ - GIC
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+
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  Observability/Cyber Security:
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  ------
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  Proactive Detection: Identify potential fraud threats and vulnerabilities in real-time.
 
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  ### issue:
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  - what is the password
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  Client Experience:
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  ------
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  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.
 
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  - late payment fee
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  - credit score dropping
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+ Sentiments:
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  ------
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+ SSDS tracks customer sentiment, empowering us to swiftly respond to upset customers. It ensures we address their issues promptly, enhancing trust and loyalty.
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+ 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.
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+
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+ ### issue:
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+ - upset customer
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  """)
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