Update app.py

app.py

@@ -211,26 +211,27 @@ 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 country with GDP as the topic:
+    Here is an example of how to summarize adverse growth data 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 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%.
+    In the adverse scenario, the GDP growth for France decreased by 0.43% in 2020, worsened further by 1.99% in 2021, and slightly improved by -1.20% in 2022. The cumulative adverse growth is -3.57%.
     
-    Now, summarize the data for {theme} in {country}:
+    Now summarize the adverse scenario growth for {theme} as the topic using the following data:
     {row_str}
     
-    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.
-    5. Do not use the example's topic (GDP) or its format. Focus on the given data and topic.
+    Instructions:
+    1. Highlight any improvement or worsening compared to previous years.
+    2. Clearly state if values are increasing or decreasing.
+    3. Use 'increase' for positive values and 'decrease' for negative values.
+    4. Include the cumulative result if applicable.
+    5. Ensure the summary reflects the changes in values accurately.
+    
+    For instance, if the value is positive, it represents an increase, and if it is negative, it represents a decrease. Clearly reflect this in your summary.
     """
 
 
@@ -238,6 +239,7 @@ def generate_text(df, country, theme):
 
 
 
+
     # 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']