openai unofficial
Version 0.1.2
An Free & Unlimited unofficial Python SDK for the OpenAI API, providing seamless integration and easy-to-use methods for interacting with OpenAI's latest powerful AI models, including GPT-4o (Including gpt-4o-audio-preview & gpt-4o-realtime-preview Models), GPT-4, GPT-3.5 Turbo, DALL·E 3, Whisper & Text-to-Speech (TTS) models for Free
gpt-4o-audio-preview之類的模型接收音頻和文本響應。通過PIP安裝軟件包：
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 )SDK支持OpenAI的函數調用功能，使您可以在對話中定義和使用工具/功能。以下是函數調用和工具用法的示例：
配x 重要說明：在當前版本（0.1.2）中，尚未完全支持複雜或多個功能調用。 SDK當前支持基本功能調用功能。在即將發布的版本中將添加對多個功能調用和更複雜的工具使用模式的支持。
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 )歡迎捐款！請按照以下步驟操作：
git checkout -b feature/my-feature 。git commit -am 'Add new feature' 。git push origin feature/my-feature 。請確保您的代碼遵守項目的編碼標準並通過所有測試。
該項目是根據MIT許可證獲得許可的 - 有關詳細信息，請參見許可證文件。
注意：此SDK是非正式的，與OpenAI不隸屬。
如果您遇到任何問題或有建議，請在Github上打開一個問題。
這是SDK當前支持的部分模型列表。有關完整列表，請查看/models端點：
聊天模型：
gpt-4gpt-4-turbogpt-4ogpt-4o-minigpt-3.5-turbogpt-3.5-turbo-16kgpt-3.5-turbo-instructgpt-4o-realtime-previewgpt-4o-audio-preview圖像生成模型：
dall-e-2dall-e-3文本到語音（TTS）模型：
tts-1tts-1-hdtts-1-1106tts-1-hd-1106音頻模型：
whisper-1嵌入模型：
text-embedding-ada-002text-embedding-3-smalltext-embedding-3-large
