Update app.py

app.py

@@ -2,11 +2,8 @@ import streamlit as st
 import pandas as pd
 from transformers import pipeline
 
-# Load the anomalies data and convert all cells to strings
-df = pd.read_csv('anomalies.csv', sep=',', decimal='.')
-df['ds'] = pd.to_datetime(df['ds'], format='%Y-%m-%d')
-df.fillna("", inplace=True)
-print(df.head())
+#df = pd.read_csv('anomalies.csv', sep=',', decimal='.')
+df = pd.read_excel('CG.xlsx')
 
 def response(user_question):
     tqa = pipeline(task="table-question-answering", model="google/tapas-large-finetuned-wtq")