Update app.py

app.py

@@ -420,10 +420,12 @@ if st.button('Analyze'):
     # Perform text preprocessing
     vectorizer = CountVectorizer(stop_words='english')
     X = vectorizer.fit_transform([text_input])
+    # Convert sparse matrix to dense numpy array
+    X_dense = X.toarray()
     
     # Perform dictionary learning
     dl = DictionaryLearning(n_components=n_components, transform_algorithm='lasso_lars', random_state=0)
-    X_transformed = dl.fit_transform(X)
+    X_transformed = dl.fit_transform(X_dense)
     dictionary = dl.components_
     
     # Get the feature names (terms)
@@ -461,8 +463,5 @@ if st.button('Analyze'):
     nx.draw_networkx_labels(G, pos, font_size=8)
     ax.axis('off')
     st.pyplot(fig)
-    
-
-