kevinhug commited on
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  1. app.py +5 -4
app.py CHANGED
@@ -18,7 +18,7 @@ def similar(issue):
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  iface = gr.Interface(fn=similar, inputs="text", outputs="text", title="NLP Leads Generation", description="""
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- Data Scientist: Kevin Wong
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  ============
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  open source ml bank dataset
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  https://www.kaggle.com/datasets/trainingdatapro/20000-customers-reviews-on-banks/?select=Banks.csv
@@ -34,7 +34,7 @@ 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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- issue:
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  - having bad client experience
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  - having credit card problem
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  - late payment fee
@@ -44,7 +44,7 @@ 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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  Sentiments:
@@ -52,8 +52,9 @@ Sentiments:
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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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- issue:
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  - upset customer
 
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  Future Improvement
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  ============
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  tuning the distance for use case
 
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  iface = gr.Interface(fn=similar, inputs="text", outputs="text", title="NLP Leads Generation", description="""
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+ Data Scientist: Kevin Wong, [email protected], 416-903-7937
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  ============
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  open source ml bank dataset
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  https://www.kaggle.com/datasets/trainingdatapro/20000-customers-reviews-on-banks/?select=Banks.csv
 
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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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+ ### issue:
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  - having bad client experience
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  - having credit card problem
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  - late payment fee
 
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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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  Sentiments:
 
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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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+ ### issue:
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  - upset customer
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+
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  Future Improvement
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  ============
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  tuning the distance for use case