add run.py

requirements.txt

@@ -1,4 +1,27 @@
 shiny==0.9.0
 shinyswatch==0.6.0
 seaborn==0.12.2
-matplotlib==3.7.1
+matplotlib==3.7.1
+certifi==2024.2.2
+charset-normalizer==3.3.2
+filelock==3.13.4
+fsspec==2024.3.1
+huggingface-hub==0.22.2
+idna==3.7
+Jinja2==3.1.3
+MarkupSafe==2.1.5
+mpmath==1.3.0
+networkx==3.3
+numpy==1.26.4
+packaging==24.0
+PyYAML==6.0.1
+regex==2024.4.16
+requests==2.31.0
+safetensors==0.4.3
+sympy==1.12
+tokenizers==0.19.1
+torch==2.3.0
+tqdm==4.66.2
+transformers==4.40.1
+typing_extensions==4.11.0
+urllib3==2.2.1

run.py

@@ -0,0 +1,11 @@
+from transformers import SamModel, SamConfig, SamProcessor
+import torch
+
+# Load the model configuration
+model_config = SamConfig.from_pretrained("facebook/sam-vit-base")
+processor = SamProcessor.from_pretrained("facebook/sam-vit-base")
+
+# Create an instance of the model architecture with the loaded configuration
+my_sam_model = SamModel(config=model_config)
+#Update the model by loading the weights from saved file.
+my_sam_model.load_state_dict(torch.load("sammodel2.pth", map_location=torch.device('cpu')))