add examples

app.py

@@ -22,5 +22,7 @@ def predict(img):
 if __name__ == "__main__":
     model_path = hf_hub_download(repo_id="skytnt/anime_quality", filename="classifier.onnx")
     model = rt.InferenceSession(model_path, providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
-    app = gr.Interface(predict, gr.Image(label="input image"), gr.Label(label="result"),title="Best Anime or Not", allow_flagging="never")
+    examples = [[f"examples/{x:02d}.jpg"] for x in range(0, 2)]
+    app = gr.Interface(predict, gr.Image(label="input image"), gr.Label(label="result"),title="Best Anime or Not",
+                       allow_flagging="never", examples=examples)
     app.launch()