Delete app.py

MS2/app.py

@@ -1,27 +0,0 @@
-import streamlit as st
-from transformers import pipeline
-import torch
-import torch.nn.functional as F
-
-def main():
-
-    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"]
-
-    st.title("Streamlit Sentiment Analysis App ")
-    st.header("Sentiments analysis using Trnasformers by 🤗")
-    st.header("Jozef Janosko - CS 482, Milestone 2")
-
-    st.text("Input a test string for sentiment analysis.")
-    input=st.text_input("input string")
-    model = st.selectbox("Select Model...", models)
-    st.text("Result using "+model+": ")
-    st.text(str(sentiment_Analysis(input,model)))
-
-def sentiment_Analysis(input, model):
-
-    classifier = pipeline("sentiment-analysis",model)
-    ret=classifier(input)
-    return ret
-
-if __name__ == '__main__' :
-    main()