Update app.py

app.py

@@ -5,18 +5,11 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-today = datetime.datetime.now()
-next_year = today.year + 1
-jan_1 = datetime.date(next_year, 1, 1)
-dec_31 = datetime.date(next_year, 12, 31)
+import datetime
+import streamlit as st
 
-d = st.date_input(
-    "Select the date range",
-    (jan_1, datetime.date(next_year, 1, 7)),
-    jan_1,
-    dec_31,
-    format="MM.DD.YYYY",
-)
+d = st.date_input("Chose the Date for which you are interested in", value=None)
+st.write('You selected:', d)
 
 tokenizer = AutoTokenizer.from_pretrained("nickmuchi/sec-bert-finetuned-finance-classification")
 model = AutoModelForSequenceClassification.from_pretrained("nickmuchi/sec-bert-finetuned-finance-classification")