openai unofficial
Version 0.1.2
OpenAI API를위한 무료 및 무제한 비공식 Python SDK로, GPT-4O (GPT-4O-Audio-Preview 및 GPT-4O-REALTIME-PREVIEW 모델 포함)를 포함한 OpenAI의 최신 강력한 AI 모델과 상호 작용하기위한 완벽한 통합 및 사용하기 쉬운 방법을 제공합니다. 무료로
gpt-4o-audio-preview 와 같은 모델을 활용하여 오디오 및 텍스트 응답을 모두 수신합니다.PIP를 통해 패키지 설치 :
pip install -U openai-unofficial from openai_unofficial import OpenAIUnofficial
# Initialize the client
client = OpenAIUnofficial ()
# Basic chat completion
response = client . chat . completions . create (
messages = [{ "role" : "user" , "content" : "Say hello!" }],
model = "gpt-4o"
)
print ( response . choices [ 0 ]. message . content ) from openai_unofficial import OpenAIUnofficial
client = OpenAIUnofficial ()
models = client . list_models ()
print ( "Available Models:" )
for model in models [ 'data' ]:
print ( f"- { model [ 'id' ] } " ) from openai_unofficial import OpenAIUnofficial
client = OpenAIUnofficial ()
response = client . chat . completions . create (
messages = [{ "role" : "user" , "content" : "Tell me a joke." }],
model = "gpt-4o"
)
print ( "ChatBot:" , response . choices [ 0 ]. message . content ) from openai_unofficial import OpenAIUnofficial
client = OpenAIUnofficial ()
response = client . chat . completions . create (
messages = [{
"role" : "user" ,
"content" : [
{ "type" : "text" , "text" : "What's in this image?" },
{
"type" : "image_url" ,
"image_url" : {
"url" : "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" ,
}
},
],
}],
model = "gpt-4o-mini-2024-07-18"
)
print ( "Response:" , response . choices [ 0 ]. message . content ) from openai_unofficial import OpenAIUnofficial
client = OpenAIUnofficial ()
completion_stream = client . chat . completions . create (
messages = [{ "role" : "user" , "content" : "Write a short story in 3 sentences." }],
model = "gpt-4o-mini-2024-07-18" ,
stream = True
)
for chunk in completion_stream :
content = chunk . choices [ 0 ]. delta . content
if content :
print ( content , end = '' , flush = True ) from openai_unofficial import OpenAIUnofficial
client = OpenAIUnofficial ()
audio_data = client . audio . create (
input_text = "This is a test of the TTS capabilities!" ,
model = "tts-1-hd" ,
voice = "nova"
)
with open ( "tts_output.mp3" , "wb" ) as f :
f . write ( audio_data )
print ( "TTS Audio saved as tts_output.mp3" ) from openai_unofficial import OpenAIUnofficial
client = OpenAIUnofficial ()
response = client . chat . completions . create (
messages = [{ "role" : "user" , "content" : "Tell me a fun fact." }],
model = "gpt-4o-audio-preview" ,
modalities = [ "text" , "audio" ],
audio = { "voice" : "fable" , "format" : "wav" }
)
message = response . choices [ 0 ]. message
print ( "Text Response:" , message . content )
if message . audio and 'data' in message . audio :
from base64 import b64decode
with open ( "audio_preview.wav" , "wb" ) as f :
f . write ( b64decode ( message . audio [ 'data' ]))
print ( "Audio saved as audio_preview.wav" ) from openai_unofficial import OpenAIUnofficial
client = OpenAIUnofficial ()
response = client . image . create (
prompt = "A futuristic cityscape at sunset" ,
model = "dall-e-3" ,
size = "1024x1024"
)
print ( "Image URL:" , response . data [ 0 ]. url ) from openai_unofficial import OpenAIUnofficial
client = OpenAIUnofficial ()
with open ( "speech.mp3" , "rb" ) as audio_file :
transcription = client . audio . transcribe (
file = audio_file ,
model = "whisper-1"
)
print ( "Transcription:" , transcription . text )SDK는 OpenAI의 기능 호출 기능을 지원하므로 대화에서 도구/기능을 정의하고 사용할 수 있습니다. 기능 호출 및 공구 사용의 예는 다음과 같습니다.
️ 중요 참고 : 현재 버전 (0.1.2)에서 복잡한 또는 다중 기능 호출은 아직 완전히 지원되지 않습니다. SDK는 현재 기본 기능 호출 기능을 지원합니다. 다중 기능 호출 및보다 복잡한 도구 사용 패턴에 대한 지원이 다가오는 릴리스에 추가됩니다.
from openai_unofficial import OpenAIUnofficial
import json
client = OpenAIUnofficial ()
# Define your functions as tools
tools = [
{
"type" : "function" ,
"function" : {
"name" : "get_current_weather" ,
"description" : "Get the current weather in a given location" ,
"parameters" : {
"type" : "object" ,
"properties" : {
"location" : {
"type" : "string" ,
"description" : "The city and state, e.g., San Francisco, CA"
},
"unit" : {
"type" : "string" ,
"enum" : [ "celsius" , "fahrenheit" ],
"description" : "The temperature unit"
}
},
"required" : [ "location" ]
}
}
}
]
# Function to actually get weather data
def get_current_weather ( location : str , unit : str = "celsius" ) -> str :
# This is a mock function - replace with actual weather API call
return f"The current weather in { location } is 22° { unit [ 0 ]. upper () } "
# Initial conversation message
messages = [
{ "role" : "user" , "content" : "What's the weather like in London?" }
]
# First API call to get function calling response
response = client . chat . completions . create (
model = "gpt-4o-mini-2024-07-18" ,
messages = messages ,
tools = tools ,
tool_choice = "auto"
)
# Get the assistant's message
assistant_message = response . choices [ 0 ]. message
messages . append ( assistant_message . to_dict ())
# Check if the model wants to call a function
if assistant_message . tool_calls :
# Process each tool call
for tool_call in assistant_message . tool_calls :
function_name = tool_call . function . name
function_args = json . loads ( tool_call . function . arguments )
# Call the function and get the result
function_response = get_current_weather ( ** function_args )
# Append the function response to messages
messages . append ({
"role" : "tool" ,
"tool_call_id" : tool_call . id ,
"name" : function_name ,
"content" : function_response
})
# Get the final response from the model
final_response = client . chat . completions . create (
model = "gpt-4o-mini-2024-07-18" ,
messages = messages
)
print ( "Final Response:" , final_response . choices [ 0 ]. message . content )기부금을 환영합니다! 다음 단계를 따르십시오.
git checkout -b feature/my-feature .git commit -am 'Add new feature' .git push origin feature/my-feature .코드가 프로젝트의 코딩 표준을 준수하고 모든 테스트를 통과하십시오.
이 프로젝트는 MIT 라이센스에 따라 라이센스가 부여됩니다. 자세한 내용은 라이센스 파일을 참조하십시오.
참고 :이 SDK는 비공식적이며 OpenAI와 제휴하지 않습니다.
문제가 발생하거나 제안이 있으면 Github에서 문제를여십시오.
다음은 SDK가 현재 지원하는 모델 목록입니다. 전체 목록은 /models 엔드 포인트를 확인하십시오.
채팅 모델 :
gpt-4gpt-4-turbogpt-4ogpt-4o-minigpt-3.5-turbogpt-3.5-turbo-16kgpt-3.5-turbo-instructgpt-4o-realtime-previewgpt-4o-audio-preview이미지 생성 모델 :
dall-e-2dall-e-3텍스트 음성 (TTS) 모델 :
tts-1tts-1-hdtts-1-1106tts-1-hd-1106오디오 모델 :
whisper-1임베딩 모델 :
text-embedding-ada-002text-embedding-3-smalltext-embedding-3-large
