Update app.py

app.py

@@ -204,11 +204,10 @@ def generate_text(df, country, theme):
     # Convert the row to a string format for prompt
     row_str = row.to_string(index=True)
     
-    # Create the prompt
     prompt = f"""
-    Here is an example of how to summarize adverse growth data for a given country:
+    Here is an example of how to summarize adverse growth data for a given country with GDP as the theme:
     
-    Example for France:
+    Example for France (GDP):
     Country: France
     Adverse 2020: -0.427975
     Adverse 2021: -1.987167
@@ -219,10 +218,10 @@ def generate_text(df, country, theme):
     Summary:
     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, resulting in an adverse cumulative decrease of -3.573762%.
     
-    Now, summarize the adverse scenario growth for {theme} in {country} based on the following data:
+    Now, use the following data for {theme} in {country} to generate a similar summary:
     {row_str}
     
-    Follow the pattern from the example and explicitly mention 'increase' or 'decrease' based on the changes in the values from the previous year. Ensure that you highlight any improvement or worsening compared to previous years and include a cumulative result if applicable.
+    The theme is {theme}. Ensure that the summary reflects the theme accurately and follows the pattern from the example. Highlight any improvements or worsening compared to previous years and include a cumulative result if applicable. Use terms 'increase' and 'decrease' to describe changes in values, and make sure the output aligns with the provided data.
     """