Update app.py

app.py

@@ -200,7 +200,10 @@ def process_pdfs_and_analyze_sentiment(file1, file2, sheet):
 def generate_text(df, country, theme):
     # Filter the dataframe based on the country
     row = df[df['Country'] == country].iloc[0]
-    
+    for column in df.columns:
+        if column != 'Country':
+            df[column] = df[column].apply(lambda x: f"{x:.6f}%")
+
     # Convert the row to a string format for prompt
     row_str = row.to_string(index=True)
     
@@ -211,21 +214,34 @@ 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:
+    Here are two examples of how to summarize adverse growth data for a given country:
+    
+    Example 1 (Australia - GDP):
     Country: Australia
-    Adverse 2020: -0.427975
-    Adverse 2021: -1.987167
-    Adverse 2022: -1.195906
-    Adverse Cumulative: -3.573762
+    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 growth for GDP in Australia 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%.
-
+    In the adverse scenario, the growth for GDP in Australia 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%.
+    
+    Example 2 (Poland - HICP):
+    Country: Poland
+    Adverse 2023: 17.656378%
+    Adverse 2024: 8.188389%
+    Adverse 2025: 4.321625%
+    Adverse Cumulative: 32.79156%
+    The topic is HICP.
+    
+    Summary:
+    In the adverse scenario, the HICP rate in Poland was 17.656378% in 2023, decreased to 8.188389% in 2024, and continued to decrease to 4.321625% in 2025. The cumulative adverse HICP rate over the period is 32.79156%.
+    
     Now, use the following data for {theme} in {country} to generate a similar summary:
     {row_str}
-    The topic is {theme}. 
-    Summarize and ensure that the summary reflects the theme accurately and follows the pattern from the example. Use terms 'increase' and 'decrease' to describe changes in values. Make sure the output aligns with the provided data.
+    
+    The topic is {theme}. Summarize the data, ensuring that the summary reflects the theme accurately. Follow the pattern of the examples provided and describe any changes in values using terms like 'increase' and 'decrease'. Make sure the output aligns with the data.
     """