Update app.py

app.py

@@ -1,18 +1,28 @@
 import gradio as gr
-from transformers import pipeline
+from transformers import pipeline, AutoImageProcessor, AutoModelForImageClassification
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+# 使用 FaceAIorNot 模型初始化 pipeline
+pipe = pipeline(
+    task="image-classification",
+    model="hchcsuim/FaceAIorNot"
+)
 
+# 預測函數
 def predict(input_img):
-    predictions = pipeline(input_img)
-    return input_img, {p["label"]: p["score"] for p in predictions} 
+    predictions = pipe(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions}
 
+# 建立 Gradio 介面
 gradio_app = gr.Interface(
-    predict,
-    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
-    title="Hot Dog? Or Not?",
+    fn=predict,
+    inputs=gr.Image(label="上傳或拍攝臉部照片", sources=['upload', 'webcam'], type="pil"),
+    outputs=[
+        gr.Image(label="輸入圖片"),
+        gr.Label(label="判斷結果", num_top_classes=2)
+    ],
+    title="FaceAIorNot",
+    description="上傳或拍攝一張臉部照片，判斷是否為 AI 生成的人臉"
 )
 
 if __name__ == "__main__":
-    gradio_app.launch()
+    gradio_app.launch()