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import requests | |
import os | |
from dotenv import load_dotenv | |
import json | |
#import pyttsx3 | |
load_dotenv() | |
API_KEY = os.getenv("DG_API_KEY") | |
AUDIO_FILE=r".\media\ouput_file.mp3" | |
#engine = pyttsx3.init() | |
#voices = engine.getProperty('voices') | |
#engine.setProperty('voice', voices[1].id) | |
#def text_to_speech2(llm_response): | |
# engine.save_to_file(llm_response, AUDIO_FILE) | |
# engine.runAndWait() | |
def text_to_speech(llm_response): | |
# Define the API endpoint | |
url = "https://api.deepgram.com/v1/speak?model=aura-asteria-en" | |
# Define the headers | |
headers = { | |
"Authorization": f"Token {API_KEY}", | |
"Content-Type": "application/json" | |
} | |
# Define the payload | |
payload = { | |
"text": llm_response | |
} | |
# Make the POST request | |
response = requests.post(url, headers=headers, json=payload) | |
# Check if the request was successful | |
if response.status_code == 200: | |
# Save the response content to a file | |
with open(AUDIO_FILE, "wb") as f: | |
f.write(response.content) | |
print("File saved successfully.") | |
else: | |
print(f"Error: {response.status_code} - {response.text}") | |
# Example usage | |
#transcribed_text = "Hello, how can I help you today?" | |
#tts(transcribed_text) | |