New tts provider

[Kritik-helpingai]

New tts provider

import requests
import json
import time
from pathlib import Path
from typing import Generator
from playsound import playsound

class FailedToGenerateResponseError(Exception):
    
    """Provider failed to fetch response"""
class Voicepods:
    """
    A class to interact with the Voicepods text-to-speech API.
    """

    def __init__(self, timeout: int = 20, proxies: dict = None):
        """
        Initializes the Voicepods API client.
        """
        self.api_endpoint = "https://voicepods-stream.vercel.app/api/resemble"
        self.headers = {
            'Accept': '*/*',
            'Accept-Encoding': 'gzip, deflate, br, zstd',
            'Accept-Language': 'en-US,en;q=0.9,en-IN;q=0.8',
            'Content-Type': 'application/json',
            'DNT': '1',
            'Origin': 'https://voicepods-stream.vercel.app',
            'Referer': 'https://voicepods-stream.vercel.app/',
            'Sec-CH-UA': '"Chromium";v="128", "Not;A=Brand";v="24", "Microsoft Edge";v="128"',
            'Sec-CH-UA-Mobile': '?0',
            'Sec-CH-UA-Platform': '"Windows"',
            'Sec-Fetch-Dest': 'empty',
            'Sec-Fetch-Mode': 'cors',
            'Sec-Fetch-Site': 'same-origin',
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36 Edg/128.0.0.0',
        }
        self.session = requests.Session()
        self.session.headers.update(self.headers)
        if proxies:
            self.session.proxies.update(proxies)
        self.timeout = timeout
        self.audio_cache_dir = Path("./audio_cache")

    def tts(self, text: str) -> str:
        """
        Converts text to speech using the Voicepods API. 

        Args:
            text (str): The text to be converted to speech.

        Returns:
            str: The filename of the saved audio file.
        
        Raises:
            exceptions.FailedToGenerateResponseError: If there is an error generating or saving the audio.
        """
        payload = json.dumps({"query": text})
        filename = self.audio_cache_dir / f"{int(time.time())}.wav"  # Using timestamp for filename

        try:
            response = self.session.post(self.api_endpoint, data=payload, timeout=self.timeout)
            response.raise_for_status()

            content_type = response.headers.get('Content-Type', '')
            if 'audio' not in content_type.lower():
                raise ValueError(f"Unexpected content type: {content_type}")

            audio_data = response.content
            self._save_audio(audio_data, filename)
            return filename.as_posix()  # Return the filename as a string

        except requests.exceptions.RequestException as e:
            raise FailedToGenerateResponseError(f"Error generating audio: {e}")

    def _save_audio(self, audio_data: bytes, filename: Path):
        """Saves the audio data to a WAV file in the audio cache directory."""
        try:
            # Create the audio_cache directory if it doesn't exist
            self.audio_cache_dir.mkdir(parents=True, exist_ok=True)

            riff_start = audio_data.find(b'RIFF')
            if riff_start == -1:
                raise ValueError("RIFF header not found in audio data")
            
            trimmed_audio_data = audio_data[riff_start:]

            with open(filename, "wb") as f:
                f.write(trimmed_audio_data)

        except Exception as e:
            raise FailedToGenerateResponseError(f"Error saving audio: {e}")



# Example usage
if __name__ == "__main__":

    voicepods = Voicepods()
    text = "Hello, this is a test of the Voicepods text-to-speech system."

    print("Generating audio...")
    audio_file = voicepods.tts(text)

[Kourva]

Thank you so much, i will add it to the bot.