Delete handlerForAudio.py

handlerForAudio.py

@@ -1,40 +0,0 @@
-from typing import Dict, Any
-from textToStoryGeneration import *
-import logging
-import torch
-import soundfile as sf
-from transformers import AutoTokenizer, AutoModelForTextToWaveform
-
-# Configure logging
-logging.basicConfig(level=logging.DEBUG)
-# Configure logging
-logging.basicConfig(level=logging.ERROR)
-# Configure logging
-logging.basicConfig(level=logging.WARNING)
-
-
-
-class CustomHandler:
-    def __init__(self):
-        
-        self.tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-eng")
-        self.model= AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-eng")
-    def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
-        # Prepare the payload with input data
-        logging.warning(f"------input_data-- {str(data)}")
-        payload = str(data)
-        logging.warning(f"payload----{str(payload)}")
-        # Set headers with API token
-        inputs = self.tokenizer(payload, return_tensors="pt")
-
-        # Generate the waveform from the input text
-        with torch.no_grad():
-            outputs = self.model(**inputs)
-
-        # Save the audio to a file
-        sf.write("StoryAudio.wav", outputs["waveform"][0].numpy(), self.model.config.sampling_rate)
-        
-        return 'StoryAudio.wav'
-        # Check if the request was successful
-        
-