dont cache examples

app.py

@@ -16,13 +16,13 @@ def predict(img):
     img_input = np.transpose(img_input, (2, 0, 1))
     img_input = img_input[np.newaxis, :]
     pred = model.run(None, {"img": img_input})[0].item()
-    return f"{pred}"
+    return pred
 
 
 if __name__ == "__main__":
     model_path = hf_hub_download(repo_id="skytnt/anime-aesthetic", filename="model.onnx")
     model = rt.InferenceSession(model_path, providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
     examples = [[f"examples/{x:02d}.jpg"] for x in range(0, 2)]
-    app = gr.Interface(predict, gr.Image(label="input image"), gr.Textbox(label="score"),title="Anime Aesthetic Predict",
-                       allow_flagging="never", examples=examples)
+    app = gr.Interface(predict, gr.Image(label="input image"), gr.Number(label="score"),title="Anime Aesthetic Predict",
+                       allow_flagging="never", examples=examples, cache_examples=False)
     app.launch()