Добавлена гистограма.

app.py

@@ -75,7 +75,9 @@ text = preprocess([title + ". " + abstract])[0]
 
 if not text is None and len(text) > 0:
     #keywords = get_candidates(text, main_nlp)
-    keywords = np.array(get_keywords(text, main_nlp, main_model, main_tokenizer))
+    keywords = get_keywords(text, main_nlp, main_model, main_tokenizer)
+    labels = [kw[0] for kw in keywords]
+    scores = [kw[1] for kw in keywords]
     #st.markdown(f"{keywords}")
 
     # График важности слов.
@@ -83,9 +85,9 @@ if not text is None and len(text) > 0:
     ax.set_title("Ключевые слова в порядке важности")
 
     bar_width = 0.35
-    indexes = np.arange(keywords.shape[0])
-    ax.barh(indexes, keywords[:,1], bar_width)
-    plt.yticks(indexes, keywords[:,0])
+    indexes = np.arange(len(labels))
+    ax.barh(indexes, scores, bar_width)
+    plt.yticks(indexes, labels=labels)
 
     st.pyplot(fig)
 else: