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1 Parent(s): 9481c31

Update app.py

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  1. app.py +26 -1
app.py CHANGED
@@ -204,12 +204,37 @@ def generate_text(df, country, theme):
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  # Convert the row to a string format for prompt
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  row_str = row.to_string(index=True)
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- prompt = f"""
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  Here is the data for {theme} in {country}:
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  {row_str}
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  Summarize the adverse growth for {theme} in {country}. Highlight any increase or decrease compared to previous years and include the cumulative result.
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  """
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Convert the row to a string format for prompt
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  row_str = row.to_string(index=True)
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+ simple_prompt = f"""
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  Here is the data for {theme} in {country}:
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  {row_str}
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  Summarize the adverse growth for {theme} in {country}. Highlight any increase or decrease compared to previous years and include the cumulative result.
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  """
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+ prompt = f"""
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+ Here is an example of how to summarize adverse growth data for a given country with GDP as the theme:
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+
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+ Example for France (GDP):
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+ Country: France
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+ Adverse 2020: -0.427975
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+ Adverse 2021: -1.987167
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+ Adverse 2022: -1.195906
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+ Adverse Cumulative: -3.573762
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+
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+ The theme is GDP.
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+ Summary:
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+ In the adverse scenario, the growth for GDP in France decreased by -0.427975% in 2020, worsened further by -1.987167% in 2021, and slightly improved by -1.195906% in 2022. The cumulative adverse growth is -3.573762%.
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+
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+ Now, use the following data for {theme} in {country} to generate a summary:
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+ {row_str}
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+
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+ The theme is {theme}. For the data provided:
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+ - Highlight any improvement or worsening compared to previous years.
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+ - Include a cumulative result if applicable.
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+ - Use the terms 'increase' and 'decrease' to describe the changes.
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+ - Ensure that the summary reflects the data accurately and follows the pattern of the example.
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+
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+ For instance, if the data shows an improvement or worsening trend, explicitly state this in the summary.
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+ """
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