OpenAI class migrated to latest version.

app.py

@@ -2,13 +2,15 @@ import os
 import spaces
 import torch
 import gradio as gr
-import openai
+from openai import OpenAI
 from transformers import pipeline
 
 MODEL_NAME = "openai/whisper-large-v3"
 BATCH_SIZE = 8
 FILE_LIMIT_MB = 1000
 
+client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
+
 device = 0 if torch.cuda.is_available() else "cpu"
 
 pipe = pipeline(
@@ -24,8 +26,7 @@ def respond_to_question(transcript, question):
     # based on the transcript
     response = ""
     # Replace this with your OpenAI API key
-    openai.api_key = os.environ["OPENAI_API_KEY"]
-    response = openai.Completion.create(
+    response = client.completions.create(
         engine="gpt-4o-mini",
         prompt=f"Transcript: {transcript}\n\nUser: {question}\n\nAI:",
         temperature=0.3,
@@ -34,8 +35,9 @@ def respond_to_question(transcript, question):
         frequency_penalty=0,
         presence_penalty=0
     ).choices[0].text
-    return response
     
+    return response
+
 @spaces.GPU
 def audio_transcribe(inputs):
     if inputs is None: