from typing import Dict, List, Any
from transformers import pipeline

import sys
import torch
from transformers import (
AutomaticSpeechRecognitionPipeline,
WhisperForConditionalGeneration,
WhisperTokenizer,
WhisperProcessor
)
from peft import LoraConfig, PeftModel, LoraModel, LoraConfig, get_peft_model, PeftConfig

class EndpointHandler():
    def __init__(self, path=""):
        
        language = "Chinese"
        task = "transcribe"
        peft_config = PeftConfig.from_pretrained(path)
        model = WhisperForConditionalGeneration.from_pretrained(
            peft_config.base_model_name_or_path
        )
        model = PeftModel.from_pretrained(model, path)
        tokenizer = WhisperTokenizer.from_pretrained(peft_config.base_model_name_or_path, language=language, task=task)
        processor = WhisperProcessor.from_pretrained(peft_config.base_model_name_or_path, language=language, task=task)
        feature_extractor = processor.feature_extractor
        self.forced_decoder_ids = processor.get_decoder_prompt_ids(language=language, task=task)
        self.pipeline = pipeline(task= "automatic-speech-recognition", model=model, tokenizer=tokenizer, feature_extractor = feature_extractor)
        self.pipeline.model.config.forced_decoder_ids = self.pipeline.tokenizer.get_decoder_prompt_ids(language=language, task=task)
        self.pipeline.model.generation_config.forced_decoder_ids = self.pipeline.model.config.forced_decoder_ids
    
    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
        """
        data args:
            inputs (:obj: `str`)
            date (:obj: `str`)
        Return:
            A :obj:`list` | `dict`: will be serialized and returned
        """
        # get inputs
        
        # run normal prediction
        inputs = data.pop("inputs", data)
        print("a1", inputs)
        print("a2", inputs, file=sys.stderr)
        print("a3", inputs, file=sys.stdout)

        prediction = self.pipeline(inputs, return_timestamps=False)

        print("b1", prediction)
        print("b2", prediction, file=sys.stderr)
        print("b3", prediction, file=sys.stdout)
        return prediction