Update app.py

app.py

@@ -211,23 +211,21 @@ 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 with GDP as the topic in Australia:
-    
+    Here is an example of how to summarize adverse growth data for a given country:
     Country: Australia
     Adverse 2020: -0.427975
     Adverse 2021: -1.987167
     Adverse 2022: -1.195906
     Adverse Cumulative: -3.573762
+
+    The topic is GDP.
     Summary:
-    In the adverse scenario, the GDP growth for Australia was -0.427975% in 2020. The growth worsened to -1.987167% in 2021, then slightly improved to -1.195906% in 2022. The cumulative adverse growth is -3.573762%.
-    s -0.
-    Now summarize the adverse scenario growth for {theme} as the topic in {country} using the following data:
+    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, use the following data for {theme} in {country} to generate a similar summary:
     {row_str}
-    
-    Instructions:
-    1. Highlight any improvement or worsening compared to previous years.
-    2. Include the cumulative result if applicable.
-    3. Ensure the summary reflects the changes in values accurately.
+
+    The topic 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.
     """
 
 
@@ -237,7 +235,7 @@ def generate_text(df, country, theme):
 
 
     # Generate the descriptive text using the model
-    result = table_to_text(prompt, max_length=200)[0]['generated_text']
+    result = table_to_text(prompt, max_length=200, temperature = 0.7, top_p = 0.9)[0]['generated_text']
     
     return result
 # Global variable