Use temp file.

app.py

@@ -7,6 +7,7 @@ import igl
 
 import gradio as gr
 import numpy as np 
+import tempfile
 
 transformer = MeshTransformer.from_pretrained("MarcusLoren/MeshGPT-preview")
 
@@ -18,6 +19,7 @@ def save_as_obj(file_path):
     igl.write_triangle_mesh(file_path, v, f)
     return file_path
 
+
 def predict(text, num_input, num_temp):
     transformer.eval()
     labels = [label.strip() for label in text.split(',')] 
@@ -27,9 +29,10 @@ def predict(text, num_input, num_temp):
             output.append((transformer.generate(texts = [label ] * num_input, temperature = num_temp)))   
     else:
         output.append((transformer.generate(texts = labels  , temperature = num_temp)))   
-            
-    mesh_render.save_rendering('./render.obj', output) 
-    return save_as_obj('./render.obj')
+
+    with tempfile.NamedTemporaryFile(suffix=".obj", delete=False) as temp_file:
+        mesh_render.save_rendering(temp_file.name, output)
+        return save_as_obj(temp_file.name)
 
 gradio_app = gr.Interface(
     predict,