Update app.py

app.py

@@ -225,22 +225,7 @@ TITLE = """
 
 # UPDATED: Description to reflect new workflow
 DESCRIPTION = """
-This Space allows you to automatically export 🤗 transformers and 🧨 diffusion models to AWS Neuron-optimized format for Inferentia/Trainium acceleration. 
-
-Simply provide a model ID from the Hugging Face Hub, and choose your desired output.
-
-### ✨ Key Features
-
-* **🚀 Create a New Optimized Repo**: Automatically converts your model and uploads it to a new repository under your username (e.g., `your-username/model-name-neuron`).  
-* **🔗 Link Back to Original**: Creates a Pull Request on the original model's repository to add a link to your optimized version, making it easier for the community to discover.  
-* **🛠️ PR to a Custom Repo**: For custom workflows, you can create a Pull Request to add the optimized files directly into an existing repository you own.  
-* **📦 Contribute to Cache**: Contribute the generated compilation artifacts to a centralized cache repository (or your own private cache), helping avoid recompilation of already exported models.  
-
-### ⚙️ How to Use  
-1. **Model ID**: Enter the ID of the model you want to export (e.g., `bert-base-uncased` or `stabilityai/stable-diffusion-xl-base-1.0`) and choose the corresponding task.  
-2. **Export Options**: Select at least one option for where to save the exported model. You can provide your own cache repo ID or use the default (`aws-neuron/optimum-neuron-cache`).  
-3. **Convert & Upload**: Click the button and follow the logs to track progress!  
-
+This Space allows you to automatically export 🤗 transformers to AWS Neuron-optimized format for Inferentia/Trainium acceleration. 
 """
 
 CUSTOM_CSS = """
@@ -393,6 +378,30 @@ with gr.Blocks(css=CUSTOM_CSS, theme=gr.themes.Soft()) as demo:
                 ],
                 outputs=log_box,
             )
+
+        with gr.Tab("Get Started"):
+            gr.Markdown(
+                """
+                **Optimum-Neuron version used:** 0.4.1  
+        
+                This Space allows you to automatically export 🤗 transformers to AWS Neuron-optimized format for Inferentia/Trainium acceleration. 
+        
+                Simply provide a model ID from the Hugging Face Hub, and choose your desired output.
+        
+                ### ✨ Key Features
+        
+                * **🚀 Create a New Optimized Repo**: Automatically converts your model and uploads it to a new repository under your username (e.g., `your-username/model-name-neuron`).  
+                * **🔗 Link Back to Original**: Creates a Pull Request on the original model's repository to add a link to your optimized version, making it easier for the community to discover.  
+                * **🛠️ PR to a Custom Repo**: For custom workflows, you can create a Pull Request to add the optimized files directly into an existing repository you own.  
+                * **📦 Contribute to Cache**: Contribute the generated compilation artifacts to a centralized cache repository (or your own private cache), helping avoid recompilation of already exported models.  
+        
+                ### ⚙️ How to Use  
+                1. **Model ID**: Enter the ID of the model you want to export (e.g., `bert-base-uncased` or `stabilityai/stable-diffusion-xl-base-1.0`) and choose the corresponding task.  
+                2. **Export Options**: Select at least one option for where to save the exported model. You can provide your own cache repo ID or use the default (`aws-neuron/optimum-neuron-cache`).  
+                3. **Convert & Upload**: Click the button and follow the logs to track progress!          
+                """
+            )
+
             
         with gr.Tab("Supported Architectures"):
             gr.HTML(f"""