Create app.py

app.py

@@ -0,0 +1,17 @@
+import streamlit as st
+from transformers import pipeline
+
+def summarize_text(text):
+    model = pipeline("text-classification", model = "cross-encoder/qnli-electra-base")
+    text_input = model(text)
+    return text_input
+
+def main():
+    user_input = st.text_area("Input Text Here")
+    if st.button("Sentiment"):
+        summary = summarize_text(user_input)
+        st.write("Sentiment:")
+        st.write(summary)
+
+if __name__ == "__main__":
+    main()