Revert "[HF][fix] Use ParameterizedModelParser instead of ModelParser" (

#881)

Revert "[HF][fix] Use ParameterizedModelParser instead of ModelParser"

Reverts #877

This caused a bug because image and audio inputs can't be parametrized.
See #882 for a better fix
instead

---
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[ReviewStack](https://reviewstack.dev/lastmile-ai/aiconfig/pull/881).
* #885
* #883
* #882
* __->__ #881
* #879

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

@@ -3,17 +3,15 @@
 import torch
 from transformers import pipeline, Pipeline
 from aiconfig_extension_hugging_face.local_inference.util import get_hf_model
-
+from aiconfig import ModelParser, InferenceOptions
 from aiconfig.callback import CallbackEvent
-from aiconfig.default_parsers.parameterized_model_parser import ParameterizedModelParser
-from aiconfig.model_parser import InferenceOptions
 from aiconfig.schema import Prompt, Output, ExecuteResult, Attachment
 
 if TYPE_CHECKING:
  from aiconfig import AIConfigRuntime
 
 
-class HuggingFaceAutomaticSpeechRecognitionTransformer(ParameterizedModelParser):
+class HuggingFaceAutomaticSpeechRecognitionTransformer(ModelParser):
  """
  Model Parser for HuggingFace ASR (Automatic Speech Recognition) models.
  """
@@ -87,7 +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_inference(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]) -> 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

@@ -10,9 +10,8 @@
 
 from aiconfig_extension_hugging_face.local_inference.util import get_hf_model
 
+from aiconfig import ModelParser, InferenceOptions
 from aiconfig.callback import CallbackEvent
-from aiconfig.default_parsers.parameterized_model_parser import ParameterizedModelParser
-from aiconfig.model_parser import InferenceOptions
 from aiconfig.schema import (
  Attachment,
  ExecuteResult,
@@ -25,7 +24,7 @@
  from aiconfig import AIConfigRuntime
 
 
-class HuggingFaceImage2TextTransformer(ParameterizedModelParser):
+class HuggingFaceImage2TextTransformer(ModelParser):
  def __init__(self):
  """
  Returns:
@@ -118,7 +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_inference(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]) -> list[Output]:
  await aiconfig.callback_manager.run_callbacks(
  CallbackEvent(
  "on_run_start",