matthewfarant commited on
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95ecb1f
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1 Parent(s): 545e1c6

Update app.py

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  1. app.py +5 -5
app.py CHANGED
@@ -90,7 +90,7 @@ demo = gr.Interface(
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  ### About The App
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- This app is built as a part of the Data Science Weekend 2023 Challenge submission. This app aims to help fertilizer companies to map
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  free-text POS data of multiple types of products into their own fertilizer catalog. By using this app, the company will be able to
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  decide whether a product is already available in their catalog, or whether it is a new product that needs (and eligible) to be added to
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  the catalog. <br>
@@ -98,15 +98,15 @@ demo = gr.Interface(
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  ### How Does it Work?
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  This app uses a combination of fuzzy matching and machine learning to determine whether a product is already available in the catalog or not.
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- When a product is not available in the catalog, we will use a IndoBERT model to determine if the product is a fertilizer and eligible to be
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  added to the catalog. Beforehand, we have fine-tuned the IndoBERT model using a combination of internal and external (web scraping) data, so the
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  model will be able to learn how fertilizer products (especially the local ones) look like. <br>
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- ### What is the Flags For?
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- The flag is a part of the Active Transfer Learning feature of this app. When a user flags a product as "Correct" or "Incorrect", the developer
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  will be able to fine-tune the model using the user's input, hence improving the model's performance. So, please help us to improve the model by
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- flagging the prediction result! <br>
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  ### I want to test multiple inputs at once!
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  ### About The App
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+ This app is built as a part of the Data Science Weekend (DSW) 2023 Challenge submission. This app aims to help fertilizer companies to map
94
  free-text POS data of multiple types of products into their own fertilizer catalog. By using this app, the company will be able to
95
  decide whether a product is already available in their catalog, or whether it is a new product that needs (and eligible) to be added to
96
  the catalog. <br>
 
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  ### How Does it Work?
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  This app uses a combination of fuzzy matching and machine learning to determine whether a product is already available in the catalog or not.
101
+ When a product is not available in the catalog, we will use an IndoBERT model to determine if the product is a fertilizer and eligible to be
102
  added to the catalog. Beforehand, we have fine-tuned the IndoBERT model using a combination of internal and external (web scraping) data, so the
103
  model will be able to learn how fertilizer products (especially the local ones) look like. <br>
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+ ### What are the Flags For?
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+ The flag is a part of the "Active Transfer Learning" feature of this app. When a user flags an output as "Correct" or "Incorrect", the developer
108
  will be able to fine-tune the model using the user's input, hence improving the model's performance. So, please help us to improve the model by
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+ flagging the prediction result 🙏 <br>
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  ### I want to test multiple inputs at once!
112