Update launch to accept ENV for greater deployment compatibility

ENV_CONFIG.md

@@ -0,0 +1,24 @@
+# TRELLIS Environment Variable Configuration
+
+## Overview
+
+The TRELLIS apps now support environment variable configuration for Gradio server settings.
+
+## Environment Variables
+
+### Gradio Server Configuration
+These are handled directly in `app.py` and `app_text.py`:
+
+- `GRADIO_SERVER_NAME` (default: `0.0.0.0`) - Server binding address
+- `GRADIO_SERVER_PORT` (default: `7860`) - Server port  
+- `GRADIO_SHARE` (default: `false`) - Enable public sharing
+
+## Usage
+
+```bash
+# Custom configuration
+export GRADIO_SERVER_NAME=0.0.0.0
+export GRADIO_SERVER_PORT=8080
+export GRADIO_SHARE=true
+python3 app.py
+```

app.py

@@ -400,4 +400,8 @@ def split_image(image: Image.Image) -> List[Image.Image]:
 if __name__ == "__main__":
     pipeline = TrellisImageTo3DPipeline.from_pretrained("microsoft/TRELLIS-image-large")
     pipeline.cuda()
-    demo.launch()
+    demo.launch(
+        server_name=os.environ.get('GRADIO_SERVER_NAME', '0.0.0.0'),
+        server_port=int(os.environ.get('GRADIO_SERVER_PORT', '7860')),
+        share=os.environ.get('GRADIO_SHARE', 'false').lower() == 'true'
+    )

app_text.py

@@ -263,4 +263,8 @@ def extract_gaussian(state: dict, req: gr.Request) -> Tuple[str, str]:
 if __name__ == "__main__":
     pipeline = TrellisTextTo3DPipeline.from_pretrained("microsoft/TRELLIS-text-xlarge")
     pipeline.cuda()
-    demo.launch()
+    demo.launch(
+        server_name=os.environ.get('GRADIO_SERVER_NAME', '0.0.0.0'),
+        server_port=int(os.environ.get('GRADIO_SERVER_PORT', '7860')),
+        share=os.environ.get('GRADIO_SHARE', 'false').lower() == 'true'
+    )