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app.py

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+
+# 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}')