Create app.py

app.py

@@ -0,0 +1,20 @@
+from transformers import pipeline
+import gradio as gr
+
+
+classifier = pipeline("image-classification", model="SADRACODING/SDXL-Deepfake-Detector")
+
+def predict(image):
+    if image is None:
+        return None
+    results = classifier(image)
+    return {result["label"]: result["score"] for result in results}
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil", label="Upload an Image"),
+    outputs=gr.Label(label="Prediction"),
+    title="🔍 SDXL Deepfake Detector",
+    description="Upload a face image to detect if it's AI-generated (deepfake) or real.",
+    examples=[]
+).launch()