Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load the text classification model for spam detection
+classifier = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-sms-spam-detection")
+
+def main():
+    st.title("Spam Detection App")
+
+    # Text input for user to enter a message
+    user_input = st.text_input("Enter a message:")
+
+    if st.button("Check for Spam"):
+        if user_input:
+            # Use the loaded model to classify the user's input
+            result = classifier(user_input)[0]
+
+            # Display the result
+            st.write(f"**Result:** {result['label']} (Confidence: {result['score']:.2%})")
+
+if __name__ == "__main__":
+    main()