1st

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the spam classifier model
+classifier = pipeline("text-classification", model="sms-spam-classifier")
+
+def spam_detector(text):
+    result = classifier(text)
+    return "Spam" if result[0]['label'] == 'spam' else "Not Spam"
+
+# Create Gradio UI
+app = gr.Interface(
+    fn=spam_detector,
+    inputs=gr.Textbox(label="Enter a message"),
+    outputs=gr.Textbox(label="Prediction"),
+    title="Spam Detector",
+    description="Enter a message to check if it's spam or not."
+)
+
+# Run the app
+if __name__ == "__main__":
+    app.launch()