Update app.py

app.py

@@ -9,7 +9,7 @@ from nltk.tokenize import word_tokenize
 from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
 # Download necessary resources
-nltk.download('punkt_tab')
+nltk.download('punkt')
 nltk.download('stopwords')
 nltk.download('wordnet')
 
@@ -30,7 +30,7 @@ def set_background(image_path):
     <style>
         .stApp {{
             background-image: url("data:image/png;base64,{encoded_img}");
-            background-size: cover;
+            background-size: 100% 100%;
             background-repeat: no-repeat;
             background-attachment: fixed;
             background-position: center;
@@ -40,7 +40,7 @@ def set_background(image_path):
     st.markdown(bg_image_style, unsafe_allow_html=True)
 
 # Update the image path
-set_background("Images/News image 1.png")  # Ensure the image is in the correct folder
+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"})
@@ -154,7 +154,7 @@ st.markdown("<div class='subtitle'>Enter a news headline or article snippet to a
 
 user_input = st.text_area("Enter text here:", height=150, placeholder="Type your news text here...")
 
-if st.button("Analyze 🏷️"):
+if st.button("Analyze 🍿"): 
     if user_input.strip():
         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)