refactor command execution

app.py

@@ -26,17 +26,34 @@ os.chdir("Minecraft_Skin_Generator")
 @spaces.GPU(duration=75)
 def run_inference(prompt, stable_diffusion_model, num_inference_steps, guidance_scale, model_precision_type, seed, filename, model_3d, verbose):
 
-    # inference
+    # Determine which Stable Diffusion model to use
     if stable_diffusion_model == '2':
         sd_model = "minecraft-skins"
     elif stable_diffusion_model == 'xl':
         sd_model = "minecraft-skins-sdxl"
 
-    inference_command = f"python Scripts/{sd_model}.py '{prompt}' {num_inference_steps} {guidance_scale} {model_precision_type} {seed} {filename} {'--model_3d' if model_3d else ''} {'--verbose' if verbose else ''}"
+    # Build the command as a list of argumenta
+    inference_command_args = [
+        sys.executable,
+        f"Scripts/{sd_model}.py",
+        prompt,
+        str(num_inference_steps),
+        str(guidance_scale),
+        model_precision_type,
+        str(seed),
+        filename
+    ]
+
+    # Conditionally add flags if requested
+    if model_3d:
+        inference_command_args.append('--model_3d')
+    if verbose:
+        inference_command_args.append('--verbose')
     
-    os.system(inference_command)
+    # Run the command using subprocess
+    subprocess.run(inference_command_args, check=True)
 
-    # view it also as 3d model or not output
+    # Return paths to the output files
     if model_3d:
         return os.path.join(f"output_minecraft_skins/{filename}"), os.path.join(f"output_minecraft_skins/{filename}_3d_model.glb")
     else: