Create app.py

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+import subprocess
+import os
+import shutil
+
+def run_rigging(input_model):
+    # 1. Create a clean work folder
+    if os.path.exists("temp_input"):
+        shutil.rmtree("temp_input")
+    os.makedirs("temp_input", exist_ok=True)
+    
+    # 2. Save your uploaded file into the input folder
+    input_path = os.path.join("temp_input", "model.glb")
+    shutil.copy(input_model.name, input_path)
+    
+    # 3. Trigger the Seed3D rigging script
+    # We use subprocess to run the .sh file you dragged into the repo
+    try:
+        subprocess.run(["bash", "demo_rigging.sh"], check=True)
+        # Seed3D usually saves results in a 'results' folder
+        output_path = "results/rigging/model_rigged.glb" 
+        return output_path
+    except Exception as e:
+        return f"Error during rigging: {str(e)}"
+
+# This creates the "API Door" for your AI Studio app
+demo = gr.Interface(
+    fn=run_rigging,
+    inputs=gr.File(label="Upload Model"),
+    outputs=gr.File(label="Download Rigged Model"),
+    api_name="rig" 
+)
+
+demo.launch()