Delete app.py

app.py

@@ -1,24 +0,0 @@
-
-# Libraries
-
-import streamlit as st
-import tensorflow as tf
-from transformers import pipeline
-
-# Milestone 2
-
-sentiment_pipeline = pipeline("sentiment-analysis", model = "siebert/sentiment-roberta-large-english")
-
-st.title('Sentiment Analysis with Hugging Face')
-st.write('Enter some text and we will predict its sentiment!')
-
-# Add a text input box for the user to enter text
-text_input = st.text_input('Enter text here')
-
-# When the user submits text, run the sentiment analysis model on it
-if st.button('Submit'):
-    # Predict the sentiment of the text using the Hugging Face model
-    sentiment = sentiment_pipeline(text_input)[0]['label']
-    
-    # Display the sentiment prediction to the user
-    st.write(f'Sentiment: {sentiment}')