Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""Lab10_app.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/17s4mJEUqE6OCVbdAOw1ROMQOpf4NBAw1
+"""
+
+import streamlit as st
+from transformers import pipeline
+
+classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+def main():
+    st.title("Sentiment analysis")
+
+    with st.form("text_field"):
+        text = st.text_area('enter some text:')
+        # clicked==True only when the button is clicked
+        clicked = st.form_submit_button("Submit")
+        if clicked:
+          results = classifier([text])
+          st.json(results)
+
+if __name__ == "__main__":
+    main()