Update server.py

1. Change the default host address to 0.0.0.0.
2. Convert the output to KaTeX.

src/server.py

@@ -9,6 +9,7 @@ from ray.serve.handle import DeploymentHandle
 
 from models.ocr_model.utils.inference import inference
 from models.ocr_model.model.TexTeller import TexTeller
+from models.ocr_model.utils.to_katex import to_katex
 
 
 parser = argparse.ArgumentParser()
@@ -27,8 +28,8 @@ parser.add_argument('--inference-mode', type=str, default='cpu')
 parser.add_argument('--num_beams', type=int, default=1)
 
 args = parser.parse_args()
-if args.ngpu_per_replica > 0 and not args.use_cuda:
-    raise ValueError("use_cuda must be True if ngpu_per_replica > 0")
+if args.ngpu_per_replica > 0 and not args.inference_mode == 'cuda':
+    raise ValueError("--inference-mode must be cuda or mps if ngpu_per_replica > 0")
     
 
 @serve.deployment(
@@ -54,10 +55,10 @@ class TexTellerServer:
         self.model = self.model.to(inf_mode) if inf_mode != 'cpu' else self.model
     
     def predict(self, image_nparray) -> str:
-        return inference(
+        return to_katex(inference(
             self.model, self.tokenizer, [image_nparray],
             accelerator=self.inf_mode, num_beams=self.num_beams
-        )[0]
+        )[0])
 
 
 @serve.deployment()
@@ -80,7 +81,7 @@ if __name__ == '__main__':
     ckpt_dir = args.checkpoint_dir
     tknz_dir = args.tokenizer_dir
 
-    serve.start(http_options={"port": args.server_port})
+    serve.start(http_options={"host": "0.0.0.0", "port": args.server_port})
     texteller_server = TexTellerServer.bind(
         ckpt_dir, tknz_dir, 
         inf_mode=args.inference_mode,