Harshb11 commited on
Commit
116ee61
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1 Parent(s): c590636

Update app.py

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Files changed (1) hide show
  1. app.py +13 -13
app.py CHANGED
@@ -64,7 +64,7 @@ with st.sidebar:
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  default_index=0
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  )
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- st.title('Open-source NLP')
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  if page == "Welcome!":
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  st.header('Welcome!')
@@ -89,9 +89,12 @@ if page == "Welcome!":
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  st.subheader("Introduction")
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  st.write("""
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- Hello! This application is a celebration of open-source and the power that programmers have been granted today
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- by those who 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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  Utilizing this tool you will be able to perform a multitude of Natural Language Processing Tasks on a range of
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  different tasks. All you need to do is paste your input, select your task, and hit the start button!
@@ -103,9 +106,11 @@ 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 including article/tweet/youtube input, improved text annotation, model quality improvements,
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- depending on community feedback. Please reach out to me at [email protected] 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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  """
@@ -115,13 +120,8 @@ if page == "Welcome!":
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  """
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  * This dashboard was constructed by myself, but every resource used is open-source! If you are interested in my other works you can view them here:
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- [Project Github](https://github.com/MiesnerJacob/Multi-task-NLP-dashboard)
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-
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- [Jacob Miesner's Github](https://github.com/MiesnerJacob)
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-
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- [Jacob Miesner's Linkedin](https://www.linkedin.com/in/jacob-miesner-885050125/)
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- [Jacob Miesner's Website](https://www.jacobmiesner.com)
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  * 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.
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  """
 
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  default_index=0
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  )
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+ st.title('NLP Tookit')
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  if page == "Welcome!":
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  st.header('Welcome!')
 
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  st.subheader("Introduction")
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  st.write("""
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+ This application is a part of our mini project, built to showcase the capabilities of modern Natural Language
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+ Processing using open-source tools. It reflects the collaborative effort of our team and highlights what’s possible
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+ thanks to the generous contributions of the developer community.
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+
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+ We developed this tool using Streamlit, Hugging Face Transformers, Transformers-Interpret, NLTK, SpaCy, and several other
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+ powerful open-source Python libraries and models.
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  Utilizing this tool you will be able to perform a multitude of Natural Language Processing Tasks on a range of
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  different tasks. All you need to do is paste your input, select your task, and hit the start button!
 
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  * Emotion Detection
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  * Named Entity Recognition
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+ My Team
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+ 1) Diwansing Girase
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+ 2) Kiran Patil
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+ 3) Krishita Patil
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+ 4) Rohit Bedse
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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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  """
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  * This dashboard was constructed by myself, but every resource used is open-source! If you are interested in my other works you can view them here:
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+ [Project Github](https://github.com/GiraseDeva01/NLP_Project_2k25)
 
 
 
 
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  * 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.
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  """