Update app.py

app.py

@@ -19,7 +19,7 @@ def read_article(article):
 # Function to compute sentence similarity based on cosine similarity
 def sentence_similarity(sent1, sent2, stopwords):
     words1 = nltk.word_tokenize(sent1)
-    words2 = nltk.word_tokenize(sent2)
+    words2 = nltk.word_tokenize (sent2)
 
     words1 = [word.lower() for word in words1 if word.isalnum()]
     words2 = [word.lower() for word in words2 if word.isalnum()]
@@ -45,6 +45,7 @@ def sentence_similarity(sent1, sent2, stopwords):
 def build_similarity_matrix(sentences, stopwords):
     similarity_matrix = np.zeros((len(sentences), len(sentences)))
 
+
     for i in range(len(sentences)):
         for j in range(len(sentences)):
             if i == j:  # Skip comparing a sentence to itself
@@ -76,6 +77,7 @@ def generate_summary(article, top_n=5):
 st.title("Article Summarizer")
 user_article = st.text_area("Enter your article here:")
 translate = st.checkbox("Translate Summary")
+target_language = st.selectbox("Select Target Language", ["English", "French", "Spanish", "German"])
 
 if st.button("Summarize"):
     if user_article:
@@ -84,9 +86,6 @@ if st.button("Summarize"):
         st.write(summary)
         
         if translate:
-            st.subheader("Translate Summary")
-            target_language = st.selectbox("Select Target Language", ["English", "French", "Spanish", "German"])
-            
             if target_language == "English":
                 target_language_code = "en"
             elif target_language == "French":
@@ -98,6 +97,7 @@ if st.button("Summarize"):
             
             translator = Translator()
             translated_summary = translator.translate(summary, dest=target_language_code)
+            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.")