[HF][fix] Allow kwargs in ModelParser.run()

See #877 for context, and #880 for why that original fix needed to be reverted

Just a quick hack to get unblocked. I tried originally to make the ASR and Image2Text ParameterizedModel but that caused other errors.

## Test Plan

Before

https://github.com/lastmile-ai/aiconfig/assets/151060367/a23a5d5c-d9a2-415b-8a6e-9826da56e985

After

https://github.com/lastmile-ai/aiconfig/assets/151060367/f29580e9-5cf6-43c5-b848-bb525eb368f2

extensions/HuggingFace/python/src/aiconfig_extension_hugging_face/local_inference/automatic_speech_recognition.py

@@ -85,7 +85,7 @@ async def deserialize(
         await aiconfig.callback_manager.run_callbacks(CallbackEvent("on_deserialize_complete", __name__, {"output": completion_data}))
         return completion_data
 
-    async def run(self, prompt: Prompt, aiconfig: "AIConfigRuntime", options: InferenceOptions, parameters: Dict[str, Any]) -> list[Output]:
+    async def run(self, prompt: Prompt, aiconfig: "AIConfigRuntime", options: InferenceOptions, parameters: Dict[str, Any], **kwargs) -> list[Output]:
         await aiconfig.callback_manager.run_callbacks(
             CallbackEvent(
                 "on_run_start",

extensions/HuggingFace/python/src/aiconfig_extension_hugging_face/local_inference/image_2_text.py

@@ -117,7 +117,7 @@ async def deserialize(
         await aiconfig.callback_manager.run_callbacks(CallbackEvent("on_deserialize_complete", __name__, {"output": completion_params}))
         return completion_params
 
-    async def run(self, prompt: Prompt, aiconfig: "AIConfigRuntime", options: InferenceOptions, parameters: Dict[str, Any]) -> list[Output]:
+    async def run(self, prompt: Prompt, aiconfig: "AIConfigRuntime", options: InferenceOptions, parameters: Dict[str, Any], **kwargs) -> list[Output]:
         await aiconfig.callback_manager.run_callbacks(
             CallbackEvent(
                 "on_run_start",

python/src/aiconfig/Config.py

@@ -268,7 +268,7 @@ async def run(
             options,
             params,
             callback_manager=self.callback_manager,
-            **kwargs,
+            **kwargs, # TODO: We should remove and make argument explicit
         )
 
         event = CallbackEvent("on_run_complete", __name__, {"result": response})

python/src/aiconfig/default_parsers/parameterized_model_parser.py

@@ -45,7 +45,7 @@ async def run(
         aiconfig: AIConfig,
         options: Optional[InferenceOptions] = None,
         parameters: Dict = {},
-        **kwargs,
+        **kwargs, #TODO: We should remove and make arguments explicit
     ) -> List[Output]:
         # maybe use prompt metadata instead of kwargs?
         if kwargs.get("run_with_dependencies", False):

python/src/aiconfig/model_parser.py

@@ -66,6 +66,7 @@ async def run(
         aiconfig: AIConfig,
         options: Optional["InferenceOptions"] = None,
         parameters: Dict = {},
+        **kwargs, # TODO: Remove this, just a hack for now to ensure that it doesn't break
     ) -> ExecuteResult:
         """
         Execute model inference based on completion data to be constructed in deserialize(), which includes the input prompt and