diff --git a/pxy_bots/views.py b/pxy_bots/views.py
index 9e93023..9d658fa 100644
--- a/pxy_bots/views.py
+++ b/pxy_bots/views.py
@@ -2,7 +2,7 @@ import os
 import json
 import logging
 
-import openai
+from openai import OpenAI
 from telegram import Update, Bot
 from django.http import JsonResponse
 from django.views.decorators.csrf import csrf_exempt
@@ -19,9 +19,8 @@ from .handlers import (
 
 logger = logging.getLogger(__name__)
 
-# Configura tu API Key de OpenAI
-openai.api_key = os.getenv("OPENAI_API_KEY")
-
+# Configura tu cliente de OpenAI
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
 # -------------------------------
 # 🛠 Modular local handlers inside views.py
@@ -91,29 +90,25 @@ async def dispatch_private_commands(update, text):
 
 
 # -------------------------------
-# 🛠 Voice transcription helper
+# 🛠 Voice transcription helper (Whisper via OpenAI client)
 # -------------------------------
 
 async def transcribe_with_whisper(update, bot):
     # 1. Descarga el archivo de voz desde Telegram
     tg_file = await bot.get_file(update.message.voice.file_id)
     download_path = f"/tmp/{update.message.voice.file_id}.ogg"
-    # En python-telegram-bot v21: download_to_drive es coroutine
     await tg_file.download_to_drive(download_path)
 
-    # 2. Envía el audio a la API Whisper de OpenAI
-    with open(download_path, "rb") as audio:
-        transcript = openai.Audio.transcribe(
-            model="whisper-1",
-            file=audio,
+    # 2. Envía el audio a la API de OpenAI para transcripción
+    with open(download_path, "rb") as audio_file:
+        transcript = client.audio.transcriptions.create(
+            model="gpt-4o-transcribe",  # o "whisper-1"
+            file=audio_file,
             response_format="text",
             language="es"
         )
-    return transcript.strip()
+    return transcript.text if hasattr(transcript, 'text') else transcript
 
-
-# -------------------------------
-# 🌐 Main webhook
 # -------------------------------
 
 @csrf_exempt