Modify operating equipment instructions.

app.py

@@ -277,18 +277,16 @@ with gr.Blocks(
     
     Choose from **three fine-tuned models** specialized for **robot task planning** using QLoRA technique:
     
-    - **🚀 Dart-llm-model-1B** (Default): Fastest inference, optimized for speed
-    - **⚖️ Dart-llm-model-3B**: Balanced performance and quality  
-    - **🎯 Dart-llm-model-8B**: Best quality output, higher latency
+    - **🚀 Dart-llm-model-1B**: Ready for Jetson Nano deployment
+    - **⚖️ Dart-llm-model-3B**: Ready for Jetson Xavier NX deployment  
+    - **🎯 Dart-llm-model-8B**: Ready for Jetson AGX Xavier/Orin deployment
     
-    **Capabilities**: Convert natural language robot commands into structured task sequences for excavators, dump trucks, and other construction robots. **Now with DAG Visualization!**
+    **Capabilities**: Convert natural language robot commands into structured task sequences for excavators, dump trucks, and other construction robots. **Edge-ready for Jetson devices with DAG Visualization!**
     
     **Models**: 
     - [YongdongWang/llama-3.2-1b-lora-qlora-dart-llm](https://huggingface.co/YongdongWang/llama-3.2-1b-lora-qlora-dart-llm) (Default)
     - [YongdongWang/llama-3.2-3b-lora-qlora-dart-llm](https://huggingface.co/YongdongWang/llama-3.2-3b-lora-qlora-dart-llm)
     - [YongdongWang/llama-3.1-8b-lora-qlora-dart-llm](https://huggingface.co/YongdongWang/llama-3.1-8b-lora-qlora-dart-llm)
-    
-    ⚡ **Using ZeroGPU**: This Space uses dynamic GPU allocation (Nvidia H200). First generation might take a bit longer.
     """)
     
     with gr.Tabs():
@@ -324,7 +322,7 @@ with gr.Blocks(
                         choices=[(config["name"], key) for key, config in MODEL_CONFIGS.items()],
                         value=DEFAULT_MODEL,
                         label="Model Size",
-                        info="Select model size (1B = fastest, 8B = best quality)",
+                        info="Select model for your Jetson device (1B = Nano, 3B = Xavier NX, 8B = AGX)",
                         interactive=True
                     )
                     
@@ -338,13 +336,11 @@ with gr.Blocks(
                     )
                     
                     gr.Markdown("""
-                    ### 📊 Model Status
-                    - **Hardware**: ZeroGPU (Dynamic Nvidia H200)
-                    - **Status**: Ready
-                    - **Note**: First generation allocates GPU resources
-                    - **Dart-llm-model-1B**: Fastest inference (Default)
-                    - **Dart-llm-model-3B**: Balanced speed/quality
-                    - **Dart-llm-model-8B**: Best quality, slower
+                    ### 🔧 Jetson Deployment Ready
+                    Choose the model that fits your Jetson device:
+                    - **1B**: Deployable on Jetson Nano (4GB RAM)
+                    - **3B**: Deployable on Jetson Xavier NX (8GB RAM)  
+                    - **8B**: Deployable on Jetson AGX Xavier/Orin (32GB RAM)
                     """)
         
         with gr.Tab("📊 DAG Visualization"):