Update app.py

app.py

@@ -206,25 +206,26 @@ def generate_text(df, country, theme):
     
     # Create the prompt
     prompt = f"""
-    Here is an example of summarizing adverse growth data:
+    Here is an example of how to summarize adverse growth data for a given country:
     
     Example for France:
     Country: France
-    Adverse 2020: 0.643631
-    Adverse 2021: -0.493879
-    Adverse 2022: -0.785046
-    Adverse Cumulative: -0.639624
+    Adverse 2020: -0.427975
+    Adverse 2021: -1.987167
+    Adverse 2022: -1.195906
+    Adverse Cumulative: -3.573762
     
     The theme is GDP.
     Summary:
-    In the adverse scenario, the growth for GDP in France increased by 0.643631% in 2020 but decreased significantly by -0.493879% in 2021 and further decreased by -0.785046% in 2022, resulting in an adverse cumulative decrease of -0.639624%.
+    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:
     {row_str}
     
-    Please ensure to follow this format and use the terms 'increase' or 'decrease' based on whether the values go up or down from the previous year. Explicitly mention if the growth increased or decreased compared to the previous year and include a cumulative result if applicable.
+    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.
     """
 
+
     # Generate the descriptive text using the model
     result = table_to_text(prompt, max_length=200)[0]['generated_text']