parse data from link and button

app.py

@@ -1,14 +1,36 @@
+import requests
 import streamlit as st
+from bs4 import BeautifulSoup
 from transformers import pipeline
+
+
 @st.cache_resource
 def load_model():
     return pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
 
 model = load_model()
 
+def extract_article_text(url):
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        soup = BeautifulSoup(response.text, 'html.parser')
+        article = soup.find('div', class_='article__content')
+        if article:
+            return article.get_text(strip=True)
+        else:
+            return "Article not found."
+    except Exception as e:
+        return f"Error: {e}"
 
 st.title("Tag Detection from CNN News articles")
 st.write("Enter a CNN News article URL.")
 
 news_url = st.text_input("CNN Article URL:", placeholder="Example: https://edition.cnn.com/2024/12/19/science/stonehenge-monument-early-farmers/index.html")
 categories = ["Politics", "Sports", "Weather", "Culture", "Crime"]
+
+if st.button("Get tags"):
+    if news_url.strip():
+        pass
+    else:
+        st.write("Please enter a valid news URL.")