ai_voice_translator / src /find_voice.py
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import requests
import json
import sys
import os
# Add the parent directory to the system path to import your API key from the appconfig file
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from config.appconfig import ELEVENLABS_API_KEY, VOICE_ID
# Define the API endpoint for fetching voices
url = "https://api.elevenlabs.io/v1/voices"
# Set up the headers with the API key for authentication
headers = {
"Accept": "application/json",
"xi-api-key": ELEVENLABS_API_KEY,
"Content-Type": "application/json"
}
# Send a GET request to fetch the voices
response = requests.get(url, headers=headers)
# Parse the JSON response
if response.status_code == 200:
data = response.json()
# Check if 'voices' key is present in the response
if 'voices' in data:
# Iterate through the voices and print their details
print("Available voices:")
found_voice = False
for voice in data['voices']:
print(f"{voice['name']}; {voice['voice_id']}")
# Check for the specific voice name or ID
if voice['name'] == "Exhibit 1" or voice['voice_id'] == VOICE_ID:
found_voice = True
# If the voice is not found, notify the user
if not found_voice:
print(f"\nThe voice 'Exhibit 1' with ID {VOICE_ID} was not found. Ensure it is active on the account.")
else:
print("Error: 'voices' key not found in the API response.")
print("Full response:", json.dumps(data, indent=2))
else:
# Print an error message if the request fails
print(f"Failed to fetch voices. HTTP Status Code: {response.status_code}")
print("Response:", response.text)