Update app.py

app.py

@@ -13,7 +13,7 @@ nltk.download('stopwords')
 # Function to read and preprocess the article
 def read_article(article):
     sentences = nltk.sent_tokenize(article)
-    sentences = [sentence for sentence in sentences if len(sentence) > 10]  # Filter out very short sentences
+    sentences = [sentence for sentence in sentences if len sentence > 10]  # Filter out very short sentences
     return sentences
 
 # Function to compute sentence similarity based on cosine similarity
@@ -43,7 +43,7 @@ def sentence_similarity(sent1, sent2, stopwords):
 
 # Function to create a similarity matrix of sentences
 def build_similarity_matrix(sentences, stopwords):
-    similarity_matrix = np.zeros((len(sentences), len(sentences)))
+    similarity_matrix = np.zeros((len(sentences), len(sentences))
 
     for i in range(len(sentences)):
         for j in range(len(sentences)):
@@ -72,11 +72,11 @@ def generate_summary(article, top_n=5):
     summary = " ".join([sentence for _, sentence in ranked_sentences[:top_n]])
     return summary
 
-# Streamlit web app with improved styling
-st.set_page_config(page_title="Article Summarizer", page_icon="📄")
+# Streamlit web app with improved styling and icons
+st.set_page_config(page_title="Article Summarizer", page_icon="✍️")
 st.title("Article Summarizer")
 
-# Custom CSS to style the app
+# Custom CSS to style the app with icons
 st.markdown(
     """
     <style>
@@ -98,31 +98,31 @@ st.markdown(
     unsafe_allow_html=True,
 )
 
-user_article = st.text_area("Enter your article here:", height=200)
-translate = st.checkbox("Translate Summary")
+user_article = st.text_area("✒️ Enter your article here:", height=200)
+translate = st.checkbox("🌐 Translate Summary")
 
 if translate:
-    target_language = st.selectbox("Select Target Language", ["English", "French", "Spanish", "German"])
+    target_language = st.selectbox("🌎 Select Target Language", ["🇺🇸 English", "🇫🇷 French", "🇪🇸 Spanish", "🇩🇪 German"])
 
 if st.button("Summarize"):
     if user_article:
         summary = generate_summary(user_article)
-        st.subheader("Summary:")
+        st.subheader("📄 Summary:")
         st.write(summary)
 
         if translate:
-            if target_language == "English":
+            if target_language == "🇺🇸 English":
                 target_language_code = "en"
-            elif target_language == "French":
+            elif target_language == "🇫🇷 French":
                 target_language_code = "fr"
-            elif target_language == "Spanish":
+            elif target_language == "🇪🇸 Spanish":
                 target_language_code = "es"
-            elif target_language == "German":
+            elif target_language == "🇩🇪 German":
                 target_language_code = "de"
 
             translator = Translator()
             translated_summary = translator.translate(summary, dest=target_language_code)
-            st.subheader("Translated Summary:")
+            st.subheader("🌐 Translated Summary:")
             st.write(translated_summary.text)
     else:
-        st.warning("Please enter an article to summarize.")
+        st.warning("🚫 Please enter an article to summarize.")