Create data_loader.py

data_loader.py

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+#Aqui añadiremos la conexion entre Supabase y Huggingface
+
+import pandas as pd
+from supabase import create_client, Client
+
+#Aqui van las credenciales, conectar las credenciales de Supabase en "Secrets"
+
+#SUPABASE_URL = 
+#SUPABASE_KEY = 
+
+def load_data():
+    """fertility, geo data, labor, population y predictions """
+    try:
+        response = supabase.from_("LabourForecast").execute()
+        if response.error:
+            st.error(f"Error fetching data: {response.error}")
+            return pd.DataFrame()
+        else:
+            return pd.DataFrame(response.data)
+    except Exception as e:
+        st.error(f"An error occurred: {e}")
+        return pd.DataFrame()
+
+if __name__ == "__main__":
+    european_data = load_data()
+    if not european_data.empty:
+        print("Successfully loaded European data:")
+        print(european_data.head())
+    else:
+        print("Failed to load European data.")