Update app.py

app.py

@@ -211,27 +211,31 @@ def generate_text(df, country, theme):
     Summarize the adverse growth for {theme} in {country}. Highlight any increase or decrease compared to previous years and include the cumulative result.
     """
     prompt = f"""
-    Here is an example of how to summarize adverse growth data for a given country with GDP as the topic:
+    Here is an example of how to summarize adverse growth data for a country with GDP as the topic:
     
     Country: France
     Adverse 2020: -0.427975
     Adverse 2021: -1.987167
     Adverse 2022: -1.195906
     Adverse Cumulative: -3.573762
-
     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. The cumulative adverse growth is -3.573762%.
+    In the adverse scenario, the GDP growth for 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%.
     
-    Now, summarize the data for {theme} as topic in {country}:
+    Now, summarize the data for {theme} in {country}:
     {row_str}
     
-    Make sure to highlight changes compared to previous years, include the cumulative result if applicable and use 'increase' or 'decrease' to describe changes.
+    Ensure the following:
+    1. Highlight changes from previous years.
+    2. Include a cumulative result if applicable.
+    3. Use 'increase' if the value is positive and 'decrease' if the value is negative.
+    4. The summary should reflect the data accurately.
     """
 
 
 
 
 
+
     # Generate the descriptive text using the model
     result = table_to_text(prompt, max_length=200, temperature=0.7, top_p=0.9)[0]['generated_text']