OpenAI Audio API Client#
Source vllm-project/vllm.
1"""An example showing how to use vLLM to serve VLMs.
2
3Launch the vLLM server with the following command:
4vllm serve fixie-ai/ultravox-v0_3
5"""
6import base64
7
8import requests
9from openai import OpenAI
10
11from vllm.assets.audio import AudioAsset
12
13# Modify OpenAI's API key and API base to use vLLM's API server.
14openai_api_key = "EMPTY"
15openai_api_base = "http://localhost:8000/v1"
16
17client = OpenAI(
18 # defaults to os.environ.get("OPENAI_API_KEY")
19 api_key=openai_api_key,
20 base_url=openai_api_base,
21)
22
23models = client.models.list()
24model = models.data[0].id
25
26# Any format supported by librosa is supported
27audio_url = AudioAsset("winning_call").url
28
29# Use audio url in the payload
30chat_completion_from_url = client.chat.completions.create(
31 messages=[{
32 "role":
33 "user",
34 "content": [
35 {
36 "type": "text",
37 "text": "What's in this audio?"
38 },
39 {
40 "type": "audio_url",
41 "audio_url": {
42 "url": audio_url
43 },
44 },
45 ],
46 }],
47 model=model,
48 max_tokens=64,
49)
50
51result = chat_completion_from_url.choices[0].message.content
52print(f"Chat completion output:{result}")
53
54
55# Use base64 encoded audio in the payload
56def encode_audio_base64_from_url(audio_url: str) -> str:
57 """Encode an audio retrieved from a remote url to base64 format."""
58
59 with requests.get(audio_url) as response:
60 response.raise_for_status()
61 result = base64.b64encode(response.content).decode('utf-8')
62
63 return result
64
65
66audio_base64 = encode_audio_base64_from_url(audio_url=audio_url)
67chat_completion_from_base64 = client.chat.completions.create(
68 messages=[{
69 "role":
70 "user",
71 "content": [
72 {
73 "type": "text",
74 "text": "What's in this audio?"
75 },
76 {
77 "type": "audio_url",
78 "audio_url": {
79 # Any format supported by librosa is supported
80 "url": f"data:audio/ogg;base64,{audio_base64}"
81 },
82 },
83 ],
84 }],
85 model=model,
86 max_tokens=64,
87)
88
89result = chat_completion_from_base64.choices[0].message.content
90print(f"Chat completion output:{result}")