Update app.py

app.py

@@ -40,6 +40,49 @@
 # --------------------------------------------------------
 # gradio demo executable
 # --------------------------------------------------------
+#!/usr/bin/env python3
+# Copyright (C) 2024-present Naver Corporation. All rights reserved.
+# Licensed under CC BY-NC-SA 4.0 (non-commercial use only).
+#
+# --------------------------------------------------------
+# gradio demo executable
+# --------------------------------------------------------
+import os
+import torch
+import tempfile
+from contextlib import nullcontext
+
+from mast3r.demo import get_args_parser, main_demo
+
+from mast3r.model import AsymmetricMASt3R
+from mast3r.utils.misc import hash_md5
+
+import matplotlib.pyplot as pl
+pl.ion()
+
+torch.backends.cuda.matmul.allow_tf32 = True  # for GPU >= Ampere and PyTorch >= 1.12
+
+import argparse
+
+def get_args_parser():
+    parser = argparse.ArgumentParser(description="MASt3R Demo")
+    parser.add_argument("--weights", type=str, default=None, help="Path to the weights file.")
+    parser.add_argument("--model_name", type=str, default=None, choices=[
+        'MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_metric'], help="Name of the model to use.")
+    parser.add_argument("--device", type=str, default='cuda', help="Device to run the model on.")
+    parser.add_argument("--server_name", type=str, default=None, help="Server name to use.")
+    parser.add_argument("--local_network", action='store_true', help="Run on local network.")
+    parser.add_argument("--image_size", type=int, choices=[512, 224], default=512, help="Size of the images.")
+    parser.add_argument("--server_port", type=int, default=None, help="Port for the server.")
+    parser.add_argument("--tmp_dir", type=str, default=None, help="Temporary directory.")
+    parser.add_argument("--silent", action='store_true', help="Run silently.")
+    parser.add_argument("--share", action='store_true', help="Share the application.")
+    parser.add_argument("--gradio_delete_cache", action='store_true', help="Delete Gradio cache.")
+    return parser
+
+def get_default_weights_path(model_name):
+    # Construct default weights path based on model_name
+    return f"naver/{model_name}"
 if __name__ == '__main__':
     parser = get_args_parser()
     args = parser.parse_args()