Update GDP per capita to 15325 USD from TÜİK 2024 data

data/globocan_2020_TUR.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1714c2981c9783266d41c5715e1ec948ffbad8bebbae00c7da77e1a24ef385f5
-size 751608
+oid sha256:3bf5130afae9ddb527420b8d9b5849f31c6ab3d0d3c28cac941c181856e89414
+size 751609

src/primepy/demo.py

@@ -410,8 +410,8 @@ def run_demo_and_export(
             gdp_source = "PRIME R (placeholder)"
             gdp_link = ""
         else:
-            gdp_source = "World Bank (2024)"
-            gdp_link = "https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=TR"
+            gdp_source = "TÜİK (2024)"
+            gdp_link = "https://data.tuik.gov.tr/Bulten/Index?p=Yillik-Gayrisafi-Yurt-Ici-Hasila-2024-54187"
     
     sources_df = pd.DataFrame(
         [

src/primepy/ui_app.py

@@ -572,7 +572,7 @@ def main() -> None:
             
             **Additional Data Sources:**
             - Population: [TÜİK (Turkish Statistical Institute)](https://data.tuik.gov.tr)
-            - GDP: [World Bank - GDP per capita](https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=TR)
+            - GDP: [TÜİK - Annual GDP Report 2024](https://data.tuik.gov.tr/Bulten/Index?p=Yillik-Gayrisafi-Yurt-Ici-Hasila-2024-54187)
             """)
 
         # Prepare outputs for download (use in-memory BytesIO for HuggingFace)
@@ -716,7 +716,7 @@ def main() -> None:
         pop_source_display = "PRIME R (UNWPP)"
     
     # Determine GDP source for display
-    gdp_source_display = "[World Bank (2024)](https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=TR)"
+    gdp_source_display = "[TÜİK (2024)](https://data.tuik.gov.tr/Bulten/Index?p=Yillik-Gayrisafi-Yurt-Ici-Hasila-2024-54187)"
     
     # Create display data
     display_data = [