update

app.py

@@ -34,7 +34,7 @@ magma_qa_prompt = "<image>\n{} Answer the question briefly."
 magma_model_id = "microsoft/Magma-8B"
 magam_model = AutoModelForCausalLM.from_pretrained(magma_model_id, trust_remote_code=True, torch_dtype=dtype)
 magma_processor = AutoProcessor.from_pretrained(magma_model_id, trust_remote_code=True)
-# magam_model.to("cuda")
+magam_model.to("cuda")
 
 # Download the entire repository
 # snapshot_download(repo_id=repo_id, local_dir=local_dir)
@@ -67,7 +67,7 @@ MARKDOWN = """
 
 \[[arXiv Paper](https://www.arxiv.org/pdf/2502.13130)\] &nbsp; \[[Project Page](https://microsoft.github.io/Magma/)\] &nbsp; \[[Github Repo](https://github.com/microsoft/Magma)\] &nbsp; \[[Hugging Face Model](https://huggingface.co/microsoft/Magma-8B)\] &nbsp; 
 
-This demo is powered by [Gradio](https://gradio.app/) and uses OmniParserv2 to generate Set-of-Mark prompts.
+This demo is powered by [Gradio](https://gradio.app/) and uses [OmniParserv2](https://github.com/microsoft/OmniParser) to generate [Set-of-Mark prompts](https://github.com/microsoft/SoM).
 </div>
 """