Update app.py

app.py

@@ -265,12 +265,12 @@ igen_pubmed = gr.Interface(keyphrase_generator,
                                         type="value", 
                                         default='sentence-transformers/all-mpnet-base-v1', 
                                         label="Select any SBERT model for keyphrases from the list below"),                                                     
-                     gr.inputs.Slider(minimum=5, maximum=30, step=1, default=10, label="Max Keywords")
+                     gr.inputs.Slider(minimum=5, maximum=30, step=1, default=10, label="Max Keywords"),
                      gr.inputs.Dropdown(choices=['cambridgeltl/SapBERT-from-PubMedBERT-fulltext',
                                                  'cambridgeltl/SapBERT-from-PubMedBERT-fulltext-mean-token'], 
                                         type="value", 
                                         default='cambridgeltl/SapBERT-from-PubMedBERT-fulltext', 
-                                        label="Select any SapBERT model for clustering from the list below"),], 
+                                        label="Select any SapBERT model for clustering from the list below")], 
              outputs=gr.outputs.Dataframe(type="auto", label="dataframe",max_rows=10, max_cols=None, overflow_row_behaviour="paginate"), 
              theme="peach", 
              title="Scientific Article Keyphrase Generator", description="Generates the keyphrases from an article which best describes the article.",