Create app.py

app.py

@@ -0,0 +1,19 @@
+import streamlit as st
+from transformers import pipeline
+
+# Initialize the model
+model_name = "distilbert-base-uncased-finetuned-sst-2-english" # Example model
+classifier = pipeline("text-classification", model=model_name)
+
+# Streamlit app layout
+st.title("Intent Classification App")
+
+# Text input
+user_input = st.text_input("Enter your text here:")
+
+if user_input:
+    # Model prediction
+    result = classifier(user_input)
+    # Display results
+    st.write("Intent:", result[0]['label'])
+    st.write("Confidence:", result[0]['score'])