Delete app.py

app.py

@@ -1,31 +0,0 @@
-
-# Libraries
-
-import streamlit as st
-import tensorflow as tf
-from transformers import pipeline
-
-# Milestone 2
-
-# select a pretrained model
-sentiment_pipeline = pipeline("sentiment-analysis", model = "siebert/sentiment-roberta-large-english")
-
-# intro
-st.title("Sentiment Analysis App")
-st.write("Enter some text and I'll predict its sentiment!")
-
-# add a text input box
-text_input = st.text_input("Enter your text here:", value = "The weather is nice today.")
-
-# run the model when the user clicks submit
-if st.button("Submit"):
-    
-    # get result
-    sentiment = sentiment_pipeline(text_input)
-    
-    # split into sentiment and score
-    sen = sentiment[0]['label']
-    score = round(sentiment[0]['score'], 4)
-    
-    # display the prediction
-    st.write(f"Sentiment: {sen}   ,   Confidence Score: {score}")