From 3e491c63d7443a6c312986324f8f1390bede48d1 Mon Sep 17 00:00:00 2001 From: kqlio67 Date: Fri, 13 Sep 2024 17:09:31 +0300 Subject: feat(providers): unify Rocks and FluxAirforce into Airforce provider --- g4f/Provider/Airforce.py | 255 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 255 insertions(+) create mode 100644 g4f/Provider/Airforce.py (limited to 'g4f/Provider/Airforce.py') diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py new file mode 100644 index 00000000..88896096 --- /dev/null +++ b/g4f/Provider/Airforce.py @@ -0,0 +1,255 @@ +from __future__ import annotations + +from aiohttp import ClientSession, ClientResponseError +from urllib.parse import urlencode +import json +import io +import asyncio + +from ..typing import AsyncResult, Messages +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ..image import ImageResponse, is_accepted_format +from .helper import format_prompt + +class Airforce(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://api.airforce" + text_api_endpoint = "https://api.airforce/chat/completions" + image_api_endpoint = "https://api.airforce/v1/imagine2" + working = True + supports_gpt_35_turbo = True + supports_gpt_4 = True + supports_stream = True + supports_system_message = True + supports_message_history = True + default_model = 'llama-3-70b-chat' + text_models = [ + # Open source models + 'llama-2-13b-chat', + + 'llama-3-70b-chat', + 'llama-3-70b-chat-turbo', + 'llama-3-70b-chat-lite', + + 'llama-3-8b-chat', + 'llama-3-8b-chat-turbo', + 'llama-3-8b-chat-lite', + + 'llama-3.1-405b-turbo', + 'llama-3.1-70b-turbo', + 'llama-3.1-8b-turbo', + + 'LlamaGuard-2-8b', + 'Llama-Guard-7b', + 'Meta-Llama-Guard-3-8B', + + 'Mixtral-8x7B-Instruct-v0.1', + 'Mixtral-8x22B-Instruct-v0.1', + 'Mistral-7B-Instruct-v0.1', + 'Mistral-7B-Instruct-v0.2', + 'Mistral-7B-Instruct-v0.3', + + 'Qwen1.5-72B-Chat', + 'Qwen1.5-110B-Chat', + 'Qwen2-72B-Instruct', + + 'gemma-2b-it', + 'gemma-2-9b-it', + 'gemma-2-27b-it', + + 'dbrx-instruct', + + 'deepseek-llm-67b-chat', + + 'Nous-Hermes-2-Mixtral-8x7B-DPO', + 'Nous-Hermes-2-Yi-34B', + + 'WizardLM-2-8x22B', + + 'SOLAR-10.7B-Instruct-v1.0', + + 'StripedHyena-Nous-7B', + + 'sparkdesk', + + + # Other models + 'chatgpt-4o-latest', + 'gpt-4', + 'gpt-4-turbo', + 'gpt-4o-mini-2024-07-18', + 'gpt-4o-mini', + 'gpt-4o', + 'gpt-3.5-turbo', + 'gpt-3.5-turbo-0125', + 'gpt-3.5-turbo-1106', + 'gpt-3.5-turbo-16k', + 'gpt-3.5-turbo-0613', + 'gpt-3.5-turbo-16k-0613', + + 'gemini-1.5-flash', + 'gemini-1.5-pro', + ] + image_models = [ + 'flux', + 'flux-realism', + 'flux-anime', + 'flux-3d', + 'flux-disney', + 'flux-pixel', + 'any-dark', + ] + + models = [ + *text_models, + *image_models + ] + model_aliases = { + # Open source models + "llama-2-13b": "llama-2-13b-chat", + + "llama-3-70b": "llama-3-70b-chat", + "llama-3-70b": "llama-3-70b-chat-turbo", + "llama-3-70b": "llama-3-70b-chat-lite", + + "llama-3-8b": "llama-3-8b-chat", + "llama-3-8b": "llama-3-8b-chat-turbo", + "llama-3-8b": "llama-3-8b-chat-lite", + + "llama-3.1-405b": "llama-3.1-405b-turbo", + "llama-3.1-70b": "llama-3.1-70b-turbo", + "llama-3.1-8b": "llama-3.1-8b-turbo", + + "mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1", + "mixtral-8x22b": "Mixtral-8x22B-Instruct-v0.1", + "mistral-7b": "Mistral-7B-Instruct-v0.1", + "mistral-7b": "Mistral-7B-Instruct-v0.2", + "mistral-7b": "Mistral-7B-Instruct-v0.3", + + "mixtral-8x7b-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO", + + "qwen-1-5-72b": "Qwen1.5-72B-Chat", + "qwen-1_5-110b": "Qwen1.5-110B-Chat", + "qwen-2-72b": "Qwen2-72B-Instruct", + + "gemma-2b": "gemma-2b-it", + "gemma-2b-9b": "gemma-2-9b-it", + "gemma-2b-27b": "gemma-2-27b-it", + + "deepseek": "deepseek-llm-67b-chat", + + "yi-34b": "Nous-Hermes-2-Yi-34B", + + "wizardlm-2-8x22b": "WizardLM-2-8x22B", + + "solar-10-7b": "SOLAR-10.7B-Instruct-v1.0", + + "sh-n-7b": "StripedHyena-Nous-7B", + + "sparkdesk-v1.1": "sparkdesk", + + + # Other models + "gpt-4o": "chatgpt-4o-latest", + "gpt-4o-mini": "gpt-4o-mini-2024-07-18", + + "gpt-3.5-turbo": "gpt-3.5-turbo-0125", + "gpt-3.5-turbo": "gpt-3.5-turbo-1106", + "gpt-3.5-turbo": "gpt-3.5-turbo-16k", + "gpt-3.5-turbo": "gpt-3.5-turbo-0613", + "gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613", + + + "gemini-flash": "gemini-1.5-flash", + "gemini-pro": "gemini-1.5-pro", + } + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + **kwargs + ) -> AsyncResult: + model = cls.get_model(model) + + headers = { + "accept": "*/*", + "accept-language": "en-US,en;q=0.9", + "content-type": "application/json", + "origin": "https://api.airforce", + "sec-ch-ua": '"Chromium";v="128", "Not(A:Brand";v="24"', + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-platform": '"Linux"', + "sec-fetch-dest": "empty", + "sec-fetch-mode": "cors", + "sec-fetch-site": "cross-site", + "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36" + } + + + if model in cls.image_models: + async for item in cls.generate_image(model, messages, headers, proxy, **kwargs): + yield item + else: + async for item in cls.generate_text(model, messages, headers, proxy, **kwargs): + yield item + + @classmethod + async def generate_text(cls, model: str, messages: Messages, headers: dict, proxy: str, **kwargs) -> AsyncResult: + async with ClientSession(headers=headers) as session: + data = { + "messages": [{"role": "user", "content": format_prompt(messages)}], + "model": model, + "temperature": kwargs.get('temperature', 1), + "top_p": kwargs.get('top_p', 1), + "stream": True + } + + async with session.post(cls.text_api_endpoint, json=data, proxy=proxy) as response: + response.raise_for_status() + async for line in response.content: + if line: + line = line.decode('utf-8').strip() + if line.startswith("data: "): + try: + data = json.loads(line[6:]) + if 'choices' in data and len(data['choices']) > 0: + delta = data['choices'][0].get('delta', {}) + if 'content' in delta: + yield delta['content'] + except json.JSONDecodeError: + continue + elif line == "data: [DONE]": + break + + @classmethod + async def generate_image(cls, model: str, messages: Messages, headers: dict, proxy: str, **kwargs) -> AsyncResult: + prompt = messages[-1]['content'] if messages else "" + params = { + "prompt": prompt, + "size": kwargs.get("size", "1:1"), + "seed": kwargs.get("seed"), + "model": model + } + params = {k: v for k, v in params.items() if v is not None} + + try: + async with ClientSession(headers=headers) as session: + async with session.get(cls.image_api_endpoint, params=params, proxy=proxy) as response: + response.raise_for_status() + content = await response.read() + + if response.content_type.startswith('image/'): + image_url = str(response.url) + yield ImageResponse(image_url, prompt) + else: + try: + text = content.decode('utf-8', errors='ignore') + yield f"Error: {text}" + except Exception as decode_error: + yield f"Error: Unable to decode response - {str(decode_error)}" + except ClientResponseError as e: + yield f"Error: HTTP {e.status}: {e.message}" + except Exception as e: + yield f"Unexpected error: {str(e)}" -- cgit v1.2.3