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openvoice_app.py

@@ -2,6 +2,7 @@ import os
 import torch
 import argparse
 import gradio as gr
+import requests
 import langid
 from openvoice import se_extractor
 from openvoice.api import BaseSpeakerTTS, ToneColorConverter
@@ -20,8 +21,22 @@ device = 'cuda' if torch.cuda.is_available() else 'cpu'
 output_dir = 'outputs'
 os.makedirs(output_dir, exist_ok=True)
 
-
+api_key = os.environ.get("ELEVENLABS_API_KEY")
 supported_languages = ['zh', 'en']
+# Function to get all voices
+def get_voices(api_key):
+    url = "https://api.elevenlabs.io/v1/voices"
+    headers = {"xi-api-key": api_key}
+    response = requests.request("GET", url, headers=headers)
+    return response.json()
+
+# Function to delete a voice by ID
+def delete_voice(api_key, voice_id):
+    url = f"https://api.elevenlabs.io/v1/voices/{voice_id}"
+    headers = {"xi-api-key": api_key}
+    response = requests.request("DELETE", url, headers=headers)
+    return response.status_code, response.text
+
 
 def predict(prompt, style, audio_file_pth):
     text_hint = ''
@@ -43,6 +58,18 @@ def predict(prompt, style, audio_file_pth):
     save(audio, f'{output_dir}/output.wav')
     
     save_path = f'{output_dir}/output.wav'
+    data = get_voices(api_key)
+    # Find all voice IDs with the name "TrialVoice"
+    trial_voice_ids = [voice.get("voice_id") for voice in data['voices'] if voice.get("name") == "TrialVoice"]
+
+    # Delete each voice with the name "TrialVoice"
+    for voice_id in trial_voice_ids:
+        status_code, response_text = delete_voice(api_key, voice_id)
+        print(f"Deleted voice ID {voice_id}: Status Code {status_code}, Response {response_text}")
+
+    if not trial_voice_ids:
+        print("No voices with the name 'TrialVoice' found.")
+
     return text_hint, save_path, audio_file_pth
 
 # Gradio interface setup