Update app.py

app.py

@@ -3,10 +3,15 @@ import pandas as pd
 import torch
 from transformers import pipeline
 import datetime
+from datasets import load_dataset
 
-# Load the data
-df = pd.read_excel("discrepantes.xlsx")
-df = df.fillna('').astype(str)
+dataset = load_dataset("wikitablequestions")
+item = dataset["test"][10] # show first test example
+
+def to_pandas(item):
+  return pd.DataFrame(item['table']["rows"],columns=item['table']["header"])
+
+df = to_pandas(item)
 
 # Function to generate a response using the TAPEX model
 def response(user_question, df):