Create app.py

app.py

@@ -0,0 +1,22 @@
+import streamlit as st
+from transformers import pipeline
+model = pipeline('text-classification', model='distilbert-base-uncased')
+def app():
+    # Set the title of the app
+    st.title("Text Classification with Huggingface")
+
+    # Get user input
+    user_input = st.text_input("Enter some text")
+
+    # Classify the text using the Huggingface model
+    if user_input:
+        result = model(user_input)[0]
+        label = result['label']
+        score = result['score']
+
+        # Display the result
+        st.write(f"Label: {label}")
+        st.write(f"Score: {score}")
+        
+if __name__ == "__main__":
+    app()