**Improve GPT wrapper loading and HF token handling**

Add `importlib` for dynamic module loading, log detailed errors when the GPT wrapper fails to import, and support multiple environment variable names (`HUGGINGFACE_API_TOKEN`, `HF_API_TOKEN`, `HF_TOKEN`) for the Hugging Face token.

app.py

@@ -5,6 +5,7 @@ import shutil
 import os
 import cv2
 import torch
+import importlib
 
 # Optional PDF reporting: import reportlab safely and set a flag.
 # REPORTLAB_AVAILABLE will be used by _write_pdf to select the PDF code path.
@@ -248,7 +249,11 @@ def _load_gptoss_wrapper():
         module = importlib.util.module_from_spec(spec)
         spec.loader.exec_module(module)
         return getattr(module, "GPTOSSWrapper", None)
-    except Exception:
+    except Exception as e:
+        # Print diagnostic info to Space logs so we can see why the wrapper failed to import.
+        print(f"DEBUG: failed to load GPT wrapper from {wrapper_path}: {e}")
+        import traceback
+        traceback.print_exc()
         return None
 
 def _build_prompt(frames):

gptoss_wrapper.py

@@ -41,7 +41,13 @@ class GPTOSSWrapper:
         self.model = model
         self.request_timeout = 30
         self.openai_key = os.getenv("OPENAI_API_KEY")
-        self.hf_token = os.getenv("HUGGINGFACE_API_TOKEN") or os.getenv("HF_API_TOKEN")
+        # Accept multiple HF token environment variable names for compatibility:
+        # HUGGINGFACE_API_TOKEN, HF_API_TOKEN, or HF_TOKEN (used by some HF examples)
+        self.hf_token = (
+            os.getenv("HUGGINGFACE_API_TOKEN")
+            or os.getenv("HF_API_TOKEN")
+            or os.getenv("HF_TOKEN")
+        )
         self.provider = provider.lower() if provider else "auto"
 
         if self.provider == "auto":