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Merge pull request #2 from JKJanosko/milestone-2
Browse files- MS2/Dockerfile +19 -0
- MS2/app.py +27 -0
- MS2/requirements.txt +0 -0
- README.md +7 -0
MS2/Dockerfile
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FROM python:3.9
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RUN pip install -U pip
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WORKDIR /app
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RUN pip freeze > requirements.txt
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COPY requirements.txt /requirements.txt
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RUN pip install -r /requirements.txt
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EXPOSE 8501
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COPY . /app
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ENTRYPOINT ["python","-m","streamlit", "run", "app.py"]
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MS2/app.py
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import streamlit as st
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from transformers import pipeline
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import torch
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import torch.nn.functional as F
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def main():
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models = ["distilbert-base-uncased-finetuned-sst-2-english","cardiffnlp/twitter-roberta-base-sentiment","finiteautomata/bertweet-base-sentiment-analysis","papluca/xlm-roberta-base-language-detection","cardiffnlp/twitter-roberta-base-sentiment-latest","yiyanghkust/finbert-tone","ProsusAI/finbert","j-hartmann/emotion-english-distilroberta-base"]
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st.title("Streamlit Sentiment Analysis App ")
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st.header("Sentiments analysis using Trnasformers by 🤗")
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st.header("Jozef Janosko - CS 482, Milestone 2")
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st.text("Input a test string for sentiment analysis.")
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input=st.text_input("input string")
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model = st.selectbox("Select Model...", models)
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st.text("Result using "+model+": ")
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st.text(str(sentiment_Analysis(input,model)))
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def sentiment_Analysis(input, model):
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classifier = pipeline("sentiment-analysis",model)
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ret=classifier(input)
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return ret
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if __name__ == '__main__' :
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main()
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MS2/requirements.txt
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Binary file (112 Bytes). View file
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README.md
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# cs482 Milestone 1
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## Jozef Janosko
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# cs482 Milestone 2
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## Jozef Janosko
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###Link to Text classification app in streamlit, deployed on 🤗 spaces
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[Link to Hugginface spaces](https://huggingface.co/spaces/JKJanosko/Milestone2-SentimentAnalysis)
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# cs482 Milestone 1
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## Jozef Janosko
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