changed welcome page text

app.py

@@ -103,7 +103,7 @@ if page == "Welcome!":
             * Emotion Detection
             * Named Entity Recognition
             
-        More features may be added in the future including article/tweet/youtube input and model quality improvements, 
+        More features may be added in the future including article/tweet/youtube input, improved text annotation, model quality improvements, 
         depending on community feedback. Please reach out to me at miesner.jacob@gmail.com or at my Linkedin page listed 
         below if you have ideas or suggestions for improvement.
         
@@ -123,7 +123,7 @@ if page == "Welcome!":
            
            [Jacob Miesner's Website](https://www.jacobmiesner.com)
               
-        * The prediction justification for some of the tasks are printed as the model views them. For this reason the text may contain special tokens like [CLS] or [SEP] or even hashtags splitting words. If you are knowledgeable about language models and how they work these will be familiar, if you do not have prior experience with language models you can ignore these characters.  
+        * The prediction justification for some of the tasks are printed as the model views them. For this reason the text may contain special tokens like [CLS] or [SEP] or even hashtags splitting words. If you are are familiar with language models you will recognize these, if you do not have prior experience with language models you can ignore these characters.  
         """
     )
 

emotion_detection.py

@@ -5,11 +5,12 @@ import pandas as pd
 
 
 class EmotionDetection:
-    """ This class is an example
+    """ Emotion Detection on text data
 
     Attributes:
-        class_attribute (str): (class attribute) The class attribute
-        instance_attribute (str): The instance attribute
+        tokenizer: An instance of Hugging Face Tokenizer
+        model: An instance of Hugging Face Model
+        explainer: An instance of SequenceClassificationExplainer from Transformers interpret
     """
 
     def __init__(self):

keyword_extraction.py

@@ -6,11 +6,10 @@ import en_core_web_sm
 
 
 class KeywordExtractor:
-    """ This class is an example
+    """ Keyword Extraction on text data
 
     Attributes:
-        class_attribute (str): (class attribute) The class attribute
-        instance_attribute (str): The instance attribute
+        nlp: An instance English pipeline optimized for CPU for spacy
     """
 
     def __init__(self):

named_entity_recognition.py

@@ -3,11 +3,12 @@ from transformers import pipeline
 
 
 class NamedEntityRecognition:
-    """ This class is an example
+    """ Named Entity Recognition on text data
 
     Attributes:
-        class_attribute (str): (class attribute) The class attribute
-        instance_attribute (str): The instance attribute
+        tokenizer: An instance of Hugging Face Tokenizer
+        model: An instance of Hugging Face Model
+        nlp: An instance of Hugging Face Named Entity Recognition pipeline
     """
 
     def __init__(self):

part_of_speech_tagging.py

@@ -5,12 +5,7 @@ nltk.download('averaged_perceptron_tagger')
 
 
 class POSTagging:
-    """ This class is an example
-
-    Attributes:
-        class_attribute (str): (class attribute) The class attribute
-        instance_attribute (str): The instance attribute
-    """
+    """Part of Speech Tagging on text data"""
 
     def __init__(self):
        pass

sentiment_analysis.py

@@ -5,11 +5,12 @@ import pandas as pd
 
 
 class SentimentAnalysis:
-    """ This class is an example
+    """ Sentiment on text data
 
     Attributes:
-        class_attribute (str): (class attribute) The class attribute
-        instance_attribute (str): The instance attribute
+        tokenizer: An instance of Hugging Face Tokenizer
+        model: An instance of Hugging Face Model
+        explainer: An instance of SequenceClassificationExplainer from Transformers interpret
     """
 
     def __init__(self):