Update app.py

app.py

@@ -3,16 +3,18 @@ import pandas as pd
 import torch
 from transformers import pipeline
 import datetime
-from datasets import load_dataset
+#from datasets import load_dataset
 
-dataset = load_dataset("wikitablequestions", trust_remote_code=True)
-item = dataset["test"][10]  # show first test example
+#dataset = load_dataset("wikitablequestions", trust_remote_code=True)
+#item = dataset["test"][10]  # show first test example
 
-def to_pandas(item):
-    return pd.DataFrame(item['table']["rows"], columns=item['table']["header"])
+#def to_pandas(item):
+    #return pd.DataFrame(item['table']["rows"], columns=item['table']["header"])
 
-df = to_pandas(item)
-print(df.head())
+#df = to_pandas(item)
+#print(df.head())
+
+df = pd.read_csv("anomalies.csv",quotechar='"',dtype={col: str for col in pd.read_csv('anomalies.csv', nrows=1)})
 
 # Function to generate a response using the TAPEX model
 def response(user_question, df):