fix example
Browse files
app.py
CHANGED
@@ -151,7 +151,7 @@ https://www.kaggle.com/datasets/trainingdatapro/20000-customers-reviews-on-banks
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""")
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with gr.Tab("Semantic Similarity Document Search (SSDS)"):
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in_similar = gr.Textbox(placeholder="
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label="Issue",
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info="issue you want to explore about"
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)
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@@ -226,12 +226,21 @@ With no need for jargon, SSDS delivers tangible value to our fintech operations.
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""")
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with gr.Tab("Generative AI Summarization"):
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in_sum = gr.Textbox(placeholder="
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label="Long Text",
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info="Summarization"
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)
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out_sum = gr.Textbox(label="Summarized Verbatim")
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btn_sum = gr.Button("Find Similar Verbatim")
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btn_sum.click(fn=summarize, inputs=in_sum, outputs=out_sum)
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@@ -363,7 +372,7 @@ ML Observability
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gr.DataFrame(df)
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with gr.Tab("Fine Tune LLM"):
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in_like = gr.Textbox(placeholder="
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info="issue you want to explore about")
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out_like = gr.Textbox(placeholder="like score in range [2 to 248] from fine tuning data",
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label="like score",
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""")
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with gr.Tab("Semantic Similarity Document Search (SSDS)"):
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in_similar = gr.Textbox(placeholder="Select Example Below",
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label="Issue",
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info="issue you want to explore about"
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)
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""")
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with gr.Tab("Generative AI Summarization"):
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in_sum = gr.Textbox(placeholder="Select Example Below", lines=7,
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label="Long Text",
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info="Summarization"
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)
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out_sum = gr.Textbox(label="Summarized Verbatim")
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gr.Examples(
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[
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["Low APR and great customer service. I would highly recommend if you’re looking for a great credit card company and looking to rebuild your credit. I have had my credit limit increased annually and the annual fee is very low.",
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"Customer service was terrible. Called the number for accounts and forced to listen to advertisements from their partners with no escape. When it was finally over it just went to a loop with a number to call for more promotional offers. Called a different number and got transferred from a human back to their answering service-- which hung up on me."]
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],
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[in_sum]
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)
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btn_sum = gr.Button("Find Similar Verbatim")
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btn_sum.click(fn=summarize, inputs=in_sum, outputs=out_sum)
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gr.DataFrame(df)
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with gr.Tab("Fine Tune LLM"):
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in_like = gr.Textbox(placeholder="Select Example Below" , label="Issue",
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info="issue you want to explore about")
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out_like = gr.Textbox(placeholder="like score in range [2 to 248] from fine tuning data",
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label="like score",
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