Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load a pre-trained text classification model
+classifier = pipeline("text-classification", model="mohit-thakur/phishing-email-detection")
+
+def detect_phishing(email_text):
+    result = classifier(email_text)[0]
+    label = result['label']
+    score = result['score']
+    return f"Prediction: {label} (Confidence: {score:.2f})"
+
+# Gradio interface
+interface = gr.Interface(
+    fn=detect_phishing,
+    inputs=gr.Textbox(lines=15, placeholder="Paste the email content here..."),
+    outputs="text",
+    title="Phishing Email Detector",
+    description="This app detects whether an email is a phishing attempt."
+)
+
+if __name__ == "__main__":
+    interface.launch()