Update app.py

app.py

@@ -1,3 +1,4 @@
+import base64
 import streamlit as st
 import numpy as np
 import re
@@ -8,7 +9,7 @@ from nltk.tokenize import word_tokenize
 from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
 # Download necessary resources
-nltk.download('punkt')
+nltk.download('punkt_tab')
 nltk.download('stopwords')
 nltk.download('wordnet')
 
@@ -22,18 +23,21 @@ import pickle
 st.set_page_config(page_title="News Category Classifier", page_icon="📰", layout="centered")
 
 def set_background(image_path):
+    with open(image_path, "rb") as img_file:
+        encoded_img = base64.b64encode(img_file.read()).decode()
+
     bg_image_style = f"""
     <style>
         .stApp {{
-            background: url('{image_path}') no-repeat center center fixed;
+            background: url("data:image/png;base64,{encoded_img}") no-repeat center center fixed;
             background-size: cover;
         }}
     </style>
     """
     st.markdown(bg_image_style, unsafe_allow_html=True)
 
-# Call this function with the path to your image
-set_background("News image 2.png")  # Ensure the image is in the same directory
+# Update the image path
+set_background("page/News image 2.png")  # Ensure the image is in the correct folder
 
 # Initialize stopwords and lemmatizer
 stop_words = set(stopwords.words('english')).union({"pm"})
@@ -152,4 +156,4 @@ if st.button("Analyze 🏷️"):
         category = predict_category(user_input)
         st.markdown(f"<div class='result-box'><span class='result-text'>🗂️ Predicted Category: <strong>{category}</strong></span></div>", unsafe_allow_html=True)
     else:
-        st.warning("⚠️ Please enter some text to analyze.")
+        st.warning("⚠️ Please enter some text to analyze.")