Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load a sentiment model that can classify scam-like language
+classifier = pipeline("text-classification", model="bhadresh-savani/bert-base-uncased-emotion")
+
+def detect_scam(text):
+    result = classifier(text)[0]
+    label = result['label']
+    score = result['score']
+    if "fear" in label.lower() or "anger" in label.lower():
+        message = "⚠️ This message may be a scam or manipulative."
+    else:
+        message = "✅ This message seems okay."
+    return f"Prediction: {label} ({score:.2f})\n{message}"
+
+interface = gr.Interface(fn=detect_scam, 
+                         inputs=gr.Textbox(lines=4, placeholder="Paste a message here..."), 
+                         outputs="text",
+                         title="SafeNet AI - Scam Message Detector",
+                         description="Paste a suspicious message to detect if it might be a scam using AI.")
+
+interface.launch()