Update app.py

app.py

@@ -1,6 +1,8 @@
 import streamlit as st
 import transformers
 import torch
+import requests
+from PIL import Image
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 from predict_function import detect_fake_news
 
@@ -55,18 +57,13 @@ if choice == 'Home':
         if text:
             with st.spinner('Checking if news is Fake...'):
                 label, score = detect_fake_news(text)
-                print(label, score)
                 if label == "LABEL_1":
                     st.error(f"The text is likely to be fake news with a confidence score of {score*100:.2f}%!")
                 else:
                     st.success(f"The text is likely to be genuine with a confidence score of {score*100:.2f}%!")
         else:
             with st.spinner('Checking if news is Fake...'):
-                sales_data = pd.DataFrame({})
-                try:
-                    st.success(f"")
-                except ValueError as e:
-                    st.error(str(e))
+                st.warning("Please enter some text to detect fake news.")