stinoco commited on
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08e016d
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1 Parent(s): aabad01

changed description

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  1. app.py +7 -6
app.py CHANGED
@@ -6,12 +6,13 @@ with gr.Blocks() as demo:
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  gr.Markdown(
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  """
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  # AB InBev Data Science Challenge
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- This is a demo built for AB InBev company to forecast **SOM** and **Volume** series. This demo allows the user to analyze the price sensibility of the mentioned series. Enjoy!
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- ## How do you use this demo?
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- Using this demo is easy! Simply follow the next steps:
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- 1. Select a Serie to forecast from the dropdown (valid values: SOM and Volumen)
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- 2. Choose how many months ahead do you wish your forecast to predict
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- 3. Pick the price variation vs last year you want to analyze. Setting this value to 0 means the future price values are exactly the same as the last year.
 
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  """)
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  with gr.Row():
 
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  gr.Markdown(
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  """
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  # AB InBev Data Science Challenge
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+ Welcome to the AB InBev Data Science Challenge demo! This interactive tool is designed to help you forecast the **SOM** and **Volume** series, and analyze their price sensitivity.
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+ ## How to use this demo?
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+ Using this demo is simple and straightforward. Just follow these steps:
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+ 1. Select the series you want to forecast from the dropdown menu. The valid options are **SOM** and **Volume**.
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+ 2. Specify the number of months ahead for your forecast.
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+ 3. Choose the desired price variation compared to the previous year. A value of 0 indicates that the future price values will be the same as the previous year.
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+ That's it! You're ready to explore and analyze the forecasted series. Enjoy!
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  """)
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  with gr.Row():