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diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
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+from __future__ import annotations
+
+from aiohttp import ClientSession, ClientResponseError
+import json
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..image import ImageResponse
+from .helper import format_prompt
+from ..errors import ResponseStatusError
+
+class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
+ url = "https://api.airforce"
+ text_api_endpoint = "https://api.airforce/chat/completions"
+ image_api_endpoint = "https://api.airforce/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',
+ 'flux-4o',
+ 'any-dark',
+ 'dall-e-3',
+ ]
+
+ 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",
+
+ # Image models
+ "dalle-3": "dall-e-3",
+ }
+
+ @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",
+ "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36",
+ "authorization": "Bearer null",
+ "cache-control": "no-cache",
+ "pragma": "no-cache",
+ "priority": "u=1, i",
+ "referer": "https://llmplayground.net/",
+ "sec-ch-ua": '"Not;A=Brand";v="24", "Chromium";v="128"',
+ "sec-ch-ua-mobile": "?0",
+ "sec-ch-ua-platform": '"Linux"',
+ "sec-fetch-dest": "empty",
+ "sec-fetch-mode": "cors",
+ "sec-fetch-site": "cross-site",
+ }
+
+ 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() as session:
+ data = {
+ "messages": [{"role": "user", "content": message['content']} for message in messages],
+ "model": model,
+ "max_tokens": kwargs.get('max_tokens', 4096),
+ "temperature": kwargs.get('temperature', 1),
+ "top_p": kwargs.get('top_p', 1),
+ "stream": True
+ }
+
+ try:
+ async with session.post(cls.text_api_endpoint, json=data, headers=headers, 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: "):
+ if line == "data: [DONE]":
+ break
+ 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:
+ content = delta['content']
+ if "One message exceeds the 1000chars per message limit" in content:
+ raise ResponseStatusError(
+ "Message too long",
+ 400,
+ "Please try a shorter message."
+ )
+ yield content
+ except json.JSONDecodeError:
+ continue
+ except ResponseStatusError as e:
+ raise e
+ except Exception as e:
+ raise ResponseStatusError(str(e), 500, "An unexpected error occurred")
+
+ @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')
+ raise ResponseStatusError("Image generation failed", response.status, text)
+ except Exception as decode_error:
+ raise ResponseStatusError("Decoding error", 500, str(decode_error))
+ except ClientResponseError as e:
+ raise ResponseStatusError(f"HTTP {e.status}", e.status, e.message)
+ except Exception as e:
+ raise ResponseStatusError("Unexpected error", 500, str(e))
generated by cgit v1.2.3 (git 2.25.1) at 2024-10-28 14:30:17 +0100