Create app.py

app.py

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+# scam_checker_app.py
+
+import gradio as gr
+from transformers import pipeline
+
+# Load pre-trained model (you can later fine-tune your own)
+classifier = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-fake-news-detection")
+
+def check_scam(message):
+    result = classifier(message)[0]
+    label = result['label']
+    
+    if label == "FAKE":
+        verdict = "⚠️ This message is likely a SCAM or FAKE"
+    elif label == "REAL":
+        verdict = "✅ This message seems SAFE"
+    else:
+        verdict = "❓ Unable to determine"
+    
+    return verdict
+
+# Gradio Interface
+demo = gr.Interface(
+    fn=check_scam,
+    inputs=gr.Textbox(lines=6, placeholder="Paste suspicious message or email here..."),
+    outputs="text",
+    title="🔍 Scam & Spam Message Checker",
+    description="Paste any message or email to check if it's likely to be a scam or fake using AI.",
+)
+
+demo.launch()