Update app.py

app.py

@@ -5,7 +5,7 @@ import gradio as gr
 def main():
     description = "Querying a csv using TAPEX model. You can ask a question about tabular data. TAPAS model " \
                   "will produce the result. Finetuned TAPEX model runs on max 5000 rows and 20 columns data. " \
-                  "A sample data of shopify store sales is provided"
+                  "A sample data of Retail sales data is provided"
 
     article = "<p style='text-align: center'><a href='https://unscrambl.com/' target='_blank'>Unscrambl</a> | <a href='https://huggingface.co/google/tapas-base-finetuned-wtq' target='_blank'>TAPAS Model</a></p><center><img src='https://visitor-badge.glitch.me/badge?page_id=abaranovskij_tablequery' alt='visitor badge'></center>"
 
@@ -15,9 +15,9 @@ def main():
                          outputs=[gr.JSON(label="Result"),
                                   gr.Dataframe(label="All data")],
                          examples=[
-                             ["What is the highest order_amount?", "shopify.csv"],
-                             ["Which user_id has the highest order_amount?", "shopify.csv"],
-                             ["Which payment method was used the most?", "shopify.csv"]
+                             ["What is the highest order_amount?", "Retail_sales_dataset.csv"],
+                             ["Which user_id has the highest order_amount?", "Retail_sales_dataset.csv"],
+                             ["Which payment method was used the most?", "Retail_sales_dataset.csv"]
                          ],
                          title="Table Question Answering (TAPEX)",
                          description=description,