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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
+
+# 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}")