commit (#1)

- commit (d0da4908a62adbd67e72f6ab7ffd54802ff1a8f2)


Co-authored-by: Poorvi Singh <Poorvi-06@users.noreply.huggingface.co>

Pages/Models.py

@@ -52,14 +52,14 @@ def output_keybert(text, n):
 
 
 # Retrieve the keyphrases from the input text using the Bertopics MMR model
-def output_mmr(text, n):
-    new_review = text
-    similar_topics, similarity = bertopic_model.find_topics(new_review, top_n=n)
-    similar_topics = sorted(similar_topics)
-    for i in range(n):
-        tags = bertopic_model.get_topic(similar_topics[i], full=True)["MMR"]
-        tags = [tag[0] for tag in tags]
-        tagger_component(f"Tags from cluster {i+1}:", tags)
+# def output_mmr(text, n):
+#     new_review = text
+#     similar_topics, similarity = bertopic_model.find_topics(new_review, top_n=n)
+#     similar_topics = sorted(similar_topics)
+#     for i in range(n):
+#         tags = bertopic_model.get_topic(similar_topics[i], full=True)["MMR"]
+#         tags = [tag[0] for tag in tags]
+#         tagger_component(f"Tags from cluster {i+1}:", tags)
 
 
 # Find the most similar topics for the input text using the BERTopic model
@@ -154,7 +154,7 @@ def model_page():
 
     st.title("Select a model to use:")
     with st.container():
-        tab1, tab2, tab3, tab4 = st.tabs(
+        tab1, tab2, tab3 = st.tabs(
             [
                 "Supervised Using CNN",
                 "UnSupervised-KeyBERT",
@@ -167,8 +167,6 @@ def model_page():
         with tab2:
             unsupervised_page_keybert()
         with tab3:
-            unsupervised_page_mmr()
-        with tab4:
             unsupervised_page_bertopic()
     with st.container():
         st.info("Click on the arrow to expand the example texts.")