no lisa

app.py

@@ -546,45 +546,45 @@ def run_fn(
     images = torch.stack(images)
     
     
-    if is_lisa:
-        # LISA and Llava is not compatible with the current version of transformers
-        # please contact the author for update
-        # this is a dirty patch for the LISA model
+    # if is_lisa:
+    #     # LISA and Llava is not compatible with the current version of transformers
+    #     # please contact the author for update
+    #     # this is a dirty patch for the LISA model
         
-        # pre-import the SD3 pipeline
-        from diffusers import StableDiffusion3Pipeline
+    #     # pre-import the SD3 pipeline
+    #     from diffusers import StableDiffusion3Pipeline
         
-        # unloading the current transformers
-        for module in list(sys.modules.keys()):
-            if "transformers" in module:
-                del sys.modules[module]
+    #     # unloading the current transformers
+    #     for module in list(sys.modules.keys()):
+    #         if "transformers" in module:
+    #             del sys.modules[module]
             
 
-        def install_transformers_version(version, target_dir):
-            """Install a specific version of transformers to a target directory."""
-            if not os.path.exists(target_dir):
-                os.makedirs(target_dir)
+    #     def install_transformers_version(version, target_dir):
+    #         """Install a specific version of transformers to a target directory."""
+    #         if not os.path.exists(target_dir):
+    #             os.makedirs(target_dir)
             
-            # Use subprocess to run the pip command
-            # subprocess.check_call([sys.executable, '-m', 'pip', 'install', f'transformers=={version}', '-t', target_dir])
-            os.system(f"{sys.executable} -m pip install transformers=={version} -t {target_dir} >> /dev/null 2>&1")
+    #         # Use subprocess to run the pip command
+    #         # subprocess.check_call([sys.executable, '-m', 'pip', 'install', f'transformers=={version}', '-t', target_dir])
+    #         os.system(f"{sys.executable} -m pip install transformers=={version} -t {target_dir} >> /dev/null 2>&1")
 
-        target_dir = '/tmp/lisa_transformers_v433'
-        if not os.path.exists(target_dir):
-            install_transformers_version('4.33.0', target_dir)
+    #     target_dir = '/tmp/lisa_transformers_v433'
+    #     if not os.path.exists(target_dir):
+    #         install_transformers_version('4.33.0', target_dir)
 
-        # Add the new version path to sys.path
-        sys.path.insert(0, target_dir)
+    #     # Add the new version path to sys.path
+    #     sys.path.insert(0, target_dir)
         
-        transformers = importlib.import_module("transformers")
+    #     transformers = importlib.import_module("transformers")
 
-    if not is_lisa:
-        # remove the LISA model from the sys.path
+    # if not is_lisa:
+    #     # remove the LISA model from the sys.path
             
-        if "/tmp/lisa_transformers_v433" in sys.path:
-            sys.path.remove("/tmp/lisa_transformers_v433")
+    #     if "/tmp/lisa_transformers_v433" in sys.path:
+    #         sys.path.remove("/tmp/lisa_transformers_v433")
         
-        transformers = importlib.import_module("transformers")
+    #     transformers = importlib.import_module("transformers")
         
     
     
@@ -1299,9 +1299,9 @@ with demo:
         with gr.Column():
             gr.Markdown("###### Running out of GPU? Try [Demo](https://ncut-pytorch.readthedocs.io/en/latest/demo/) hosted at UPenn")
 
-# for local development
-if os.path.exists("/hf_token.txt"):
-    os.environ["HF_ACCESS_TOKEN"] = open("/hf_token.txt").read().strip()
+# # for local development
+# if os.path.exists("/hf_token.txt"):
+#     os.environ["HF_ACCESS_TOKEN"] = open("/hf_token.txt").read().strip()
 
 if DOWNLOAD_ALL_MODELS_DATASETS:
     from ncut_pytorch.backbone import download_all_models