Fix errors

app.py

@@ -140,7 +140,7 @@ class HuggingFaceModelProcessor:
         if not os.path.isfile(quant_config.fp16_model):
             raise GGUFConverterError(f"Model file not found: {quant_config.fp16_model}")
 
-        train_data_path = CALIBRATION_FILE
+        train_data_path = self.CALIBRATION_FILE
         if not os.path.isfile(train_data_path):
             raise GGUFConverterError(f"Training data file not found: {train_data_path}")
         print(f"Training data file path: {train_data_path}")
@@ -285,7 +285,7 @@ class HuggingFaceModelProcessor:
 
             print("Model converted to fp16 successfully!")
             print(f"Converted model path: {os.path.abspath(processing_config.quant_config.fp16_model)}")
-            return fp16_model
+            return processing_config.quant_config.fp16_model
 
     def _quantize_model(self, quant_config: QuantizationConfig) -> str:
         """Quantize the GGUF model."""
@@ -593,7 +593,7 @@ class GGUFConverterUI:
         )
 
     @staticmethod
-    def _update_output_repo(model_id: str, oauth_token: gr.OAuthToken | None) -> str:
+    def _update_output_repo(model_id: str, oauth_token: Optional[gr.OAuthToken]) -> str:
         """Update output repository name based on model and user."""
         if oauth_token is None or not oauth_token.token:
             return ""
@@ -743,7 +743,7 @@ class GGUFConverterUI:
                               repo_name: str, gguf_name: str, quant_embedding: bool,
                               embedding_tensor_method: str, leave_output: bool,
                               quant_output: bool, output_tensor_method: str,
-                              split_model: bool, split_max_tensors, split_max_size: str) -> Tuple[str, str]:
+                              split_model: bool, split_max_tensors, split_max_size: str, oauth_token: Optional[gr.OAuthToken]) -> Tuple[str, str]:
         """Wrapper for the process_model method to handle the conversion using ModelProcessingConfig."""
         try:
             # Validate token and get token string
@@ -775,10 +775,10 @@ class GGUFConverterUI:
 
             model_name = self.processor._get_model_name(model_id)
 
-            with tempfile.TemporaryDirectory(dir=self.OUTPUT_FOLDER) as outDirObj:
+            with tempfile.TemporaryDirectory(dir=self.processor.OUTPUT_FOLDER) as outDirObj:
                 outdir = (
-                    self._create_folder(os.path.join(self.OUTPUT_FOLDER, model_name))
-                    if self.RUN_LOCALLY == "1"
+                    self.processor._create_folder(os.path.join(self.processor.OUTPUT_FOLDER, model_name))
+                    if self.processor.RUN_LOCALLY == "1"
                     else Path(outDirObj)
                 )