Update app.py

app.py

@@ -61,7 +61,7 @@ st.sidebar.markdown(logo_html, unsafe_allow_html=True)
 
 
 #sidebar info
-model_name= ["nerdl_fewnerd_100d", "bert_large_token_classifier_ontonote", "ner_mit_movie_complex_distilbert_base_cased", "ner_conll_albert_large_uncased"]
+model_name= ["nerdl_fewnerd_100d", "ner_conll_elmo", "ner_mit_movie_complex_distilbert_base_cased", "ner_conll_albert_large_uncased"]
 st.sidebar.title("Pretrained model to test")
 selected_model = st.sidebar.selectbox("", model_name)
 
@@ -73,14 +73,12 @@ if selected_model == "nerdl_fewnerd_100d":
     st.markdown("<h2>"+app_description+"</h2>" , unsafe_allow_html=True)
     st.markdown("**`PERSON`**   **,** **`ORGANIZATION`**    **,**  **`LOCATION`** **,**  **`ART`** **,**  **`BUILDING`** **,**  **`PRODUCT`** **,**  **`EVENT`** **,**  **`OTHER`**", unsafe_allow_html=True)
 
-elif selected_model== "bert_large_token_classifier_ontonote":
-    app_title= "Detect up to 18 entity types in general domain texts"
-    app_description= "Named Entity Recognition model aimed to detect up to 18 entity types from general domain texts. This model is a fine-tuned BERT model that is ready to use for Named Entity Recognition and achieves state-of-the-art performance for the NER task, and it is available in Spark NLP Models hub (https://nlp.johnsnowlabs.com/models)"
+elif selected_model== "ner_conll_elmo":
+    app_title= "Detect up to 4 entity types in general domain texts"
+    app_description= "Named Entity Recognition model aimed to detect up to 4 entity types from general domain texts. This model was trained on the CoNLL 2003 text corpu using Spark NLP, and it is available in Spark NLP Models hub (https://nlp.johnsnowlabs.com/models)"
     st.title(app_title)
     st.markdown("<h2>"+app_description+"</h2>" , unsafe_allow_html=True)
-    st.markdown("""**`CARDINAL`**   **,** **`DATE`**    **,**  **`EVENT`** **,**  **`FAC`** **,**  **`GPE`** **,**  **`LANGUAGE`** **,**  **`LAW`** **,**  **`LOC`**,
-                **`MONEY`**   **,** **`NORP`**    **,**  **`ORDINAL`** **,**  **`ORG`** **,**  **`PERCENT`** **,**  **`PERCENT`** **,**  **`PERSON`** **,**  **`PRODUCT`**,
-                **`QUANTITY`**   **,** **`TIME`**    **,**  **`WORK_OF_ART` **""", unsafe_allow_html=True)
+    st.markdown("**`PER`**   **,** **`LOC`**    **,**  **`ORG`** **,**  **`MISC` **", unsafe_allow_html=True)
 
 
 elif selected_model== "ner_mit_movie_complex_distilbert_base_cased":
@@ -142,13 +140,16 @@ def get_pipeline(text):
                 ner_converter
             ])
 
-    elif selected_model=="bert_large_token_classifier_ontonote":
-        tokenClassifier = BertForTokenClassification \
-            .pretrained('bert_large_token_classifier_ontonote', 'en') \
-            .setInputCols(['token', 'document']) \
-            .setOutputCol('ner') \
-            .setCaseSensitive(True) \
-            .setMaxSentenceLength(512)
+    elif selected_model=="ner_conll_elmo":
+        embeddings = ElmoEmbeddings\
+            .pretrained('elmo', 'en')\
+            .setInputCols(["token", "document"])\
+            .setOutputCol("embeddings")\
+            .setPoolingLayer("elmo")
+
+        ner = NerDLModel.pretrained('ner_conll_elmo', 'en') \
+            .setInputCols(['document', 'token', 'embeddings']) \
+            .setOutputCol('ner')
 
         ner_converter= NerConverter()\
             .setInputCols(["document", "token", "ner"])\
@@ -159,7 +160,8 @@ def get_pipeline(text):
                 documentAssembler,
                 sentenceDetector,
                 tokenizer,
-                tokenClassifier,
+                embeddings,
+                ner,
                 ner_converter
             ])
 
@@ -221,11 +223,16 @@ def get_pipeline(text):
 
     return result
 
+if selected_model=="ner_conll_albert_large_uncased":
+    text= st.text_input("Type here your text and press enter to run:", value="Mark Knopfler was born in Glasgow, Scotland. He is a British singer-songwriter, guitarist, and record producer. He became known as the lead guitarist, singer and songwriter of the rock band Dire Straits.")
+
 
     
-if selected_model=="ner_mit_movie_complex_distilbert_base_cased":
-    text= st.text_input("Type here your text and press enter to run:", value="It's only appropriate that Solaris, Russian filmmaker Andrei Tarkovsky's psychological sci-fi classic from 1972, contains an equally original and mind-bending score. Solaris explores the inadequacies of time and memory on an enigmatic planet below a derelict space station. To reinforce the film's chilling setting, Tarkovsky commissioned composer Eduard Artemiev to construct an electronic soundscape reflecting planet Solaris' amorphous and mysterious surface")
+elif selected_model=="ner_mit_movie_complex_distilbert_base_cased":
+      text= st.text_input("Type here your text and press enter to run:", value="It's only appropriate that Solaris, Russian filmmaker Andrei Tarkovsky's psychological sci-fi classic from 1972, contains an equally original and mind-bending score. Solaris explores the inadequacies of time and memory on an enigmatic planet below a derelict space station. To reinforce the film's chilling setting, Tarkovsky commissioned composer Eduard Artemiev to construct an electronic soundscape reflecting planet Solaris' amorphous and mysterious surface")
 
+elif selected_model=="ner_conll_elmo":
+    text= st.text_input("Type here your text and press enter to run: ", value="Tottenham Hotspur Football Club, commonly referred to as Tottenham or Spurs, is an English professional football club based in Tottenham, London, that competes in the Premier League, the top flight of English football.")
 
 else:
     text= st.text_input("Type here your text and press enter to run:", value="12 Corazones ('12 Hearts') is Spanish-language dating game show produced in the United States for the television network Telemundo since January 2005, based on its namesake Argentine TV show format. The show is filmed in Los Angeles and revolves around the twelve Zodiac signs that identify each contestant. In 2008, Ho filmed a cameo in the Steven Spielberg feature film The Cloverfield Paradox, as a news pundit.")