Update app.py

app.py

@@ -206,25 +206,20 @@ def generate_text(df, country, theme):
     
     # Create the prompt
     prompt = f"""
-    Here is an example:
-    A table from France country:
-    Country                 France
-    Adverse 2020         -0.427975
-    Adverse 2021         -1.987167
-    Adverse 2022         -1.195906
-    Adverse Cumulative   -3.573762
+    Here is an example of how to summarize data for France:
+    Adverse 2020: -0.427975
+    Adverse 2021: -1.987167
+    Adverse 2022: -1.195906
+    Adverse Cumulative: -3.573762
     
-    The theme is GDP
-
-    The output:
-    In adverse scenario, the growth for GDP in France is -0.427975% in 2020, -1.98767% in 2021 and -1.195906% in 2022.
-
-    Here is another table:
+    The theme is GDP.
+    Output:
+    In adverse scenario, the growth for GDP in France is -0.427975% in 2020, -1.987167% in 2021, and -1.195906% in 2022.
+    
+    Now summarize the adverse scenario growth for {theme} in {country} based on the data below:
     {row_str}
-
-    The theme is {theme}
     
-    Summarize the adverse scenario growth for {theme} in {country} based on the data above, following a similar pattern to the example for France and add the words increase and decrease depending of numerical values.
+    Ensure that you follow a similar pattern to the example for France. Use the terms 'increase' and 'decrease' based on the changes in the values.
     """
 
     # Generate the descriptive text using the model