miesnerjacob commited on
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added to README

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  1. README.md +8 -0
  2. app.py +3 -2
  3. emotion_detection.py +1 -1
README.md CHANGED
@@ -7,3 +7,11 @@ app_file: app.py
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  python_version: 3.9
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  pinned: false
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  ---
 
 
 
 
 
 
 
 
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  python_version: 3.9
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  pinned: false
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  ---
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+
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+ # Multi-task NLP
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+
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+ This application is a celebration of open-source and the power that programmers have been granted today by those who
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+ give back to the community. This tool was constructed using Streamlit, Huggingface Transformers,
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+ Transformers-Interpret, NLTK, Spacy, amongst other open-source Python libraries and models.
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+
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+ You can access a live version of this app here: https://huggingface.co/spaces/miesnerjacob/Multi-task-NLP
app.py CHANGED
@@ -96,8 +96,9 @@ if page == "Welcome!":
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  * Emotion Detection
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  * Named Entity Recognition
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- More features may be added in the future, depending on community feedback. Please reach out to me at
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- miesner.jacob@gmail.com or at my Linkedin page listed below if you have ideas or suggestions for improvement.
 
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  If you would like to contribute yourself, feel free to fork the Github repository listed below and submit a merge request.
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  """
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  * Emotion Detection
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  * Named Entity Recognition
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+ More features may be added in the future including article/tweet/youtube input and model quality improvements,
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+ depending on community feedback. Please reach out to me at miesner.jacob@gmail.com or at my Linkedin page listed
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+ below if you have ideas or suggestions for improvement.
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  If you would like to contribute yourself, feel free to fork the Github repository listed below and submit a merge request.
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  """
emotion_detection.py CHANGED
@@ -5,7 +5,7 @@ import pandas as pd
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  class EmotionDetection:
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- def __init__(self, chunksize=512):
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  hub_location = 'cardiffnlp/twitter-roberta-base-emotion'
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  self.tokenizer = AutoTokenizer.from_pretrained(hub_location)
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  self.model = AutoModelForSequenceClassification.from_pretrained(hub_location)
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  class EmotionDetection:
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+ def __init__(self):
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  hub_location = 'cardiffnlp/twitter-roberta-base-emotion'
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  self.tokenizer = AutoTokenizer.from_pretrained(hub_location)
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  self.model = AutoModelForSequenceClassification.from_pretrained(hub_location)