sentiment analysis code

app.py

@@ -1,4 +1,27 @@
 import streamlit as st
+from transformers import pipeline
 
-x = st.slider("Select a value")
-st.write(x, "squared is", x * x)
+# widget for selecting langugae model
+# available sentiment analysis models: https://huggingface.co/models?pipeline_tag=text-classification&sort=downloads&search=sentiment
+# we take the first 5 most downloaded ones.
+language_model = st.selectbox(
+    "Select the Pretrained Language Model you'd like to use",
+    (
+        "finiteautomata/bertweet-base-sentiment-analysis",
+        "siebert/sentiment-roberta-large-english",
+        "cardiffnlp/twitter-roberta-base-sentiment",
+        "Seethal/sentiment_analysis_generic_dataset",
+        "nlptown/bert-base-multilingual-uncased-sentiment",
+    ),
+)
+
+# pass the model to transformers pipeline - model selection component.
+sentiment_analysis = pipeline(model=language_model)
+
+# get text entry from users
+data = st.text_input(
+    "Enter Text", "Just started school at NYU! Looking forward to this new chapter!"
+)
+
+results = sentiment_analysis([data])
+st.write(results)