kumararvindibs
commited on
Commit
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Parent(s):
b2abaf7
initial commit
Browse files- handlerForAudio.py +46 -0
handlerForAudio.py
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import requests
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from typing import Dict, Any
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from dotenv import load_dotenv, find_dotenv
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import os
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import streamlit as st
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import json
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from textToStoryGeneration import *
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import logging
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# Configure logging
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logging.basicConfig(level=logging.DEBUG)
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# Configure logging
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logging.basicConfig(level=logging.ERROR)
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# Configure logging
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logging.basicConfig(level=logging.WARNING)
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load_dotenv(find_dotenv())
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HUGGINFACE_API = os.getenv("HUGNINGFACEHUB_API_TOKEN")
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class CustomHandler:
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def __init__(self):
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self.model_name = "espnet/kan-bayashi_ljspeech_vits"
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self.endpoint = f"https://api-inference.huggingface.co/models/{self.model_name}"
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def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
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# Prepare the payload with input data
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logging.warning(f"------input_data-- {str(data)}")
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payload = {"inputs": data}
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print("payload----", payload)
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# Set headers with API token
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headers = {"Authorization": f"Bearer {HUGGINFACE_API}"}
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# Send POST request to the Hugging Face model endpoint
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response = requests.post(self.endpoint, json=payload, headers=headers)
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with open('StoryAudio.mp3', 'wb') as file:
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file.write(response.content)
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return 'StoryAudio.mp3'
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# Check if the request was successful
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# Example usage
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# if __name__ == "__main__":
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# handler = CustomHandler()
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# input_data = "Today I have tried with many model but I didnt find the any model which gives us better result and can be deployed on the endpoints. I think we need to Create custom Inference Handler and then it can be deployed on the interfernce end poitn.As I have deployed on model on interfernce endpoint i,e. text-to-story generation. I have also compared the result created with this endpoint and my local server as well that is not same. The endpoint is generating the different stroy."
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# result = handler(input_data)
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# print(result)dddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddv 4
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