fix: replace bare except clauses with except Exception (#7400)

modules/callbacks.py

@@ -37,7 +37,7 @@ class Iteratorize:
                 ret = self.mfunc(callback=_callback, *args, **self.kwargs)
             except StopNowException:
                 pass
-            except:
+            except Exception:
                 traceback.print_exc()
                 pass
 

modules/chat.py

@@ -1300,7 +1300,7 @@ def load_last_chat_state():
         try:
             with open(state_file, 'r', encoding='utf-8') as f:
                 return json.loads(f.read())
-        except:
+        except Exception:
             pass
 
     return {"last_chats": {}}
@@ -1372,7 +1372,7 @@ def load_history_json(file, history):
                     update_message_metadata(history['metadata'], "assistant", i, timestamp="")
 
         return history
-    except:
+    except Exception:
         return history
 
 
@@ -1526,7 +1526,7 @@ def upload_character(file, img_path, tavern=False):
     decoded_file = file if isinstance(file, str) else file.decode('utf-8')
     try:
         data = json.loads(decoded_file)
-    except:
+    except Exception:
         data = yaml.safe_load(decoded_file)
 
     if 'char_name' in data:

modules/evaluate.py

@@ -86,7 +86,7 @@ def calculate_perplexity(models, input_dataset, stride, _max_length):
                 update_model_parameters(model_settings)  # hijacking the command-line arguments
                 unload_model()
                 shared.model, shared.tokenizer = load_model(model)
-            except:
+            except Exception:
                 cumulative_log += f"Failed to load `{model}`. Moving on.\n\n"
                 yield cumulative_log
                 continue

modules/llama_cpp_server.py

@@ -466,7 +466,7 @@ class LlamaServer:
                 response = self.session.get(health_url)
                 if response.status_code == 200:
                     break
-            except:
+            except Exception:
                 pass
 
             time.sleep(1)
@@ -559,5 +559,5 @@ def filter_stderr_with_progress(process_stderr):
     finally:
         try:
             process_stderr.close()
-        except:
+        except Exception:
             pass

modules/logits.py

@@ -121,7 +121,7 @@ def _get_next_logits(prompt, state, use_samplers, previous, top_logits=25, retur
                 if isinstance(key, bytes):
                     try:
                         key = key.decode()
-                    except:
+                    except Exception:
                         key = key.decode('latin')
 
                 output[key] = row[0]

modules/metadata_gguf.py

@@ -53,7 +53,7 @@ def get_single(value_type, file):
         value = file.read(value_length)
         try:
             value = value.decode('utf-8')
-        except:
+        except Exception:
             pass
     else:
         type_str = _simple_value_packing.get(value_type)

modules/prompts.py

@@ -33,5 +33,5 @@ def count_tokens(text):
     try:
         tokens = get_encoded_length(text)
         return str(tokens)
-    except:
+    except Exception:
         return '0'

modules/training.py

@@ -503,7 +503,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
                     print("Model reloaded OK, continue with training.")
                 else:
                     return f"Failed to load {selected_model}."
-            except:
+            except Exception:
                 exc = traceback.format_exc()
                 logger.error('Failed to reload the model.')
                 print(exc)
@@ -542,7 +542,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
             logger.info("Loading existing LoRA data")
             state_dict_peft = torch.load(f"{lora_file_path}/adapter_model.bin", weights_only=True)
             set_peft_model_state_dict(lora_model, state_dict_peft)
-    except:
+    except Exception:
         yield traceback.format_exc().replace('\n', '\n\n')
         return
 

modules/ui_model_menu.py

@@ -224,7 +224,7 @@ def load_model_wrapper(selected_model, loader, autoload=False):
                 yield f"Successfully loaded `{selected_model}`."
             else:
                 yield f"Failed to load `{selected_model}`."
-        except:
+        except Exception:
             exc = traceback.format_exc()
             logger.error('Failed to load the model.')
             print(exc)