Create app.py

app.py

@@ -0,0 +1,15 @@
+import streamlit as st
+import transformers
+from transformers import pipeline
+
+st.title("Text Classification using BERT")
+text = st.text_input("Enter your text")
+classifier = pipeline('text-classification', model='bert-base-uncased', tokenizer='bert-base-uncased')
+
+label_map = {0: 'Negative', 1: 'Positive'}
+label_id = result[0]['label']
+label_name = label_map[label_id]
+
+if st.button("Classify"):
+    result = classifier(text)
+    st.write("Classification Label:", label_name)