make api

app.py

@@ -25,7 +25,7 @@ def tensor_to_ndarray(tensor, nrow=1, padding=0, normalize=True):
     return grid.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0).to("cpu", torch.uint8).numpy()
 
 
-def inference(image):
+def predict(image):
     image = (np.asarray(image) / 255.0)
     image = torch.from_numpy(image).float()
     image = image.permute(2, 0, 1)
@@ -57,7 +57,7 @@ This demo is running on a CPU, if you like this project please make us a donatio
 """
 
 demo = gr.Interface(
-    inference, [
+    predict, [
         gr.Image(type="pil", label="Image low light"),
     ], [
         gr.Image(type="numpy", label="Image enhanced")