REvert - back to app working - still no textures

app.py

@@ -151,26 +151,12 @@ def extract_glb(
     """
     user_dir = os.path.join(TMP_DIR, str(req.session_hash))
     os.makedirs(user_dir, exist_ok=True)
-    logging.info(f"[{str(req.session_hash)[:8]}] ENTER extract_glb - Simplify: {mesh_simplify}, Texture Size: {texture_size}")
-    try:
-        gs, mesh = unpack_state(state)
-        logging.info(f"[{str(req.session_hash)[:8]}] State unpacked successfully.")
-        
-        # Call to_glb with verbose=True
-        logging.info(f"[{str(req.session_hash)[:8]}] Calling postprocessing_utils.to_glb with verbose=True...")
-        glb = postprocessing_utils.to_glb(gs, mesh, simplify=mesh_simplify, texture_size=texture_size, verbose=True)
-        logging.info(f"[{str(req.session_hash)[:8]}] postprocessing_utils.to_glb completed.")
-        
-        glb_path = os.path.join(user_dir, 'sample.glb')
-        glb.export(glb_path)
-        logging.info(f"[{str(req.session_hash)[:8]}] GLB exported to {glb_path}")
-        torch.cuda.empty_cache()
-        logging.info(f"[{str(req.session_hash)[:8]}] EXIT extract_glb - Success")
-        return glb_path, glb_path
-    except Exception as e:
-        logging.error(f"[{str(req.session_hash)[:8]}] ERROR in extract_glb: {e}", exc_info=True)
-        torch.cuda.empty_cache()
-        raise gr.Error(f"GLB Extraction failed: {e}")
+    gs, mesh = unpack_state(state)
+    glb = postprocessing_utils.to_glb(gs, mesh, simplify=mesh_simplify, texture_size=texture_size, verbose=False)
+    glb_path = os.path.join(user_dir, 'sample.glb')
+    glb.export(glb_path)
+    torch.cuda.empty_cache()
+    return glb_path, glb_path
 
 
 @spaces.GPU
@@ -241,10 +227,7 @@ def generate_and_extract_glb(
         try:
             with open(glb_path, "rb") as f:
                 files = {"modelFile": (os.path.basename(glb_path), f, "model/gltf-binary")}
-                payload = {
-                    "clientType": "playcanvas",
-                    "prompt": prompt
-                }
+                payload = {"clientType": "playcanvas"}
                 response = requests.post(NODE_SERVER_UPLOAD_URL, files=files, data=payload)
                 response.raise_for_status()
                 result = response.json()