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-rw-r--r--g4f/Provider/Airforce.py250
1 files changed, 32 insertions, 218 deletions
diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
index 015766f4..b7819f9a 100644
--- a/g4f/Provider/Airforce.py
+++ b/g4f/Provider/Airforce.py
@@ -1,105 +1,30 @@
from __future__ import annotations
-import random
-import json
-import re
+from typing import Any, Dict
+import inspect
+
from aiohttp import ClientSession
+
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..image import ImageResponse
-
-def split_long_message(message: str, max_length: int = 4000) -> list[str]:
- return [message[i:i+max_length] for i in range(0, len(message), max_length)]
+from .helper import format_prompt
+from .airforce.AirforceChat import AirforceChat
+from .airforce.AirforceImage import AirforceImage
class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://api.airforce"
- image_api_endpoint = "https://api.airforce/imagine2"
- text_api_endpoint = "https://api.airforce/chat/completions"
+ api_endpoint_completions = AirforceChat.api_endpoint_completions
+ api_endpoint_imagine2 = AirforceImage.api_endpoint_imagine2
working = True
+ supports_stream = AirforceChat.supports_stream
+ supports_system_message = AirforceChat.supports_system_message
+ supports_message_history = AirforceChat.supports_message_history
- default_model = 'llama-3-70b-chat'
-
- supports_stream = True
- supports_system_message = True
- supports_message_history = True
-
- text_models = [
- 'claude-3-haiku-20240307',
- 'claude-3-sonnet-20240229',
- 'claude-3-5-sonnet-20240620',
- 'claude-3-opus-20240229',
- 'chatgpt-4o-latest',
- 'gpt-4',
- 'gpt-4-turbo',
- 'gpt-4o-mini-2024-07-18',
- 'gpt-4o-mini',
- 'gpt-3.5-turbo',
- 'gpt-3.5-turbo-0125',
- 'gpt-3.5-turbo-1106',
- default_model,
- 'llama-3-70b-chat-turbo',
- 'llama-3-8b-chat',
- 'llama-3-8b-chat-turbo',
- 'llama-3-70b-chat-lite',
- 'llama-3-8b-chat-lite',
- 'llama-2-13b-chat',
- 'llama-3.1-405b-turbo',
- 'llama-3.1-70b-turbo',
- 'llama-3.1-8b-turbo',
- 'LlamaGuard-2-8b',
- 'Llama-Guard-7b',
- 'Llama-3.2-90B-Vision-Instruct-Turbo',
- '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',
- 'Qwen1.5-7B-Chat',
- 'Qwen1.5-14B-Chat',
- 'Qwen1.5-72B-Chat',
- 'Qwen1.5-110B-Chat',
- 'Qwen2-72B-Instruct',
- 'gemma-2b-it',
- 'gemma-2-9b-it',
- 'gemma-2-27b-it',
- 'gemini-1.5-flash',
- 'gemini-1.5-pro',
- 'deepseek-llm-67b-chat',
- 'Nous-Hermes-2-Mixtral-8x7B-DPO',
- 'Nous-Hermes-2-Yi-34B',
- 'WizardLM-2-8x22B',
- 'SOLAR-10.7B-Instruct-v1.0',
- 'MythoMax-L2-13b',
- 'cosmosrp',
- ]
-
- image_models = [
- 'flux',
- 'flux-realism',
- 'flux-anime',
- 'flux-3d',
- 'flux-disney',
- 'flux-pixel',
- 'flux-4o',
- 'any-dark',
- ]
-
- models = [
- *text_models,
- *image_models,
- ]
+ default_model = AirforceChat.default_model
+ models = [*AirforceChat.text_models, *AirforceImage.image_models]
model_aliases = {
- "claude-3-haiku": "claude-3-haiku-20240307",
- "claude-3-sonnet": "claude-3-sonnet-20240229",
- "gpt-4o": "chatgpt-4o-latest",
- "llama-3-70b": "llama-3-70b-chat",
- "llama-3-8b": "llama-3-8b-chat",
- "mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1",
- "qwen-1.5-7b": "Qwen1.5-7B-Chat",
- "gemma-2b": "gemma-2b-it",
- "gemini-flash": "gemini-1.5-flash",
- "mythomax-l2-13b": "MythoMax-L2-13b",
- "solar-10.7b": "SOLAR-10.7B-Instruct-v1.0",
+ **AirforceChat.model_aliases,
+ **AirforceImage.model_aliases
}
@classmethod
@@ -107,139 +32,28 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
if model in cls.models:
return model
elif model in cls.model_aliases:
- return cls.model_aliases.get(model, cls.default_model)
+ return cls.model_aliases[model]
else:
return cls.default_model
@classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- seed: int = None,
- size: str = "1:1",
- stream: bool = False,
- **kwargs
- ) -> AsyncResult:
+ async def create_async_generator(cls, model: str, messages: Messages, **kwargs) -> AsyncResult:
model = cls.get_model(model)
+
+ provider = AirforceChat if model in AirforceChat.text_models else AirforceImage
- if model in cls.image_models:
- async for result in cls._generate_image(model, messages, proxy, seed, size):
- yield result
- elif model in cls.text_models:
- async for result in cls._generate_text(model, messages, proxy, stream):
- yield result
-
- @classmethod
- async def _generate_image(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- seed: int = None,
- size: str = "1:1",
- **kwargs
- ) -> AsyncResult:
- headers = {
- "accept": "*/*",
- "accept-language": "en-US,en;q=0.9",
- "cache-control": "no-cache",
- "origin": "https://llmplayground.net",
- "user-agent": "Mozilla/5.0"
- }
-
- if seed is None:
- seed = random.randint(0, 100000)
-
- prompt = messages[-1]['content']
-
- async with ClientSession(headers=headers) as session:
- params = {
- "model": model,
- "prompt": prompt,
- "size": size,
- "seed": seed
- }
- async with session.get(f"{cls.image_api_endpoint}", params=params, proxy=proxy) as response:
- response.raise_for_status()
- content_type = response.headers.get('Content-Type', '').lower()
+ if model not in provider.models:
+ raise ValueError(f"Unsupported model: {model}")
- if 'application/json' in content_type:
- async for chunk in response.content.iter_chunked(1024):
- if chunk:
- yield chunk.decode('utf-8')
- elif 'image' in content_type:
- image_data = b""
- async for chunk in response.content.iter_chunked(1024):
- if chunk:
- image_data += chunk
- image_url = f"{cls.image_api_endpoint}?model={model}&prompt={prompt}&size={size}&seed={seed}"
- alt_text = f"Generated image for prompt: {prompt}"
- yield ImageResponse(images=image_url, alt=alt_text)
-
- @classmethod
- async def _generate_text(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- stream: bool = False,
- **kwargs
- ) -> AsyncResult:
- headers = {
- "accept": "*/*",
- "accept-language": "en-US,en;q=0.9",
- "authorization": "Bearer missing api key",
- "content-type": "application/json",
- "user-agent": "Mozilla/5.0"
- }
+ # Get the signature of the provider's create_async_generator method
+ sig = inspect.signature(provider.create_async_generator)
+
+ # Filter kwargs to only include parameters that the provider's method accepts
+ filtered_kwargs = {k: v for k, v in kwargs.items() if k in sig.parameters}
- async with ClientSession(headers=headers) as session:
- formatted_prompt = cls._format_messages(messages)
- prompt_parts = split_long_message(formatted_prompt)
- full_response = ""
+ # Add model and messages to filtered_kwargs
+ filtered_kwargs['model'] = model
+ filtered_kwargs['messages'] = messages
- for part in prompt_parts:
- data = {
- "messages": [{"role": "user", "content": part}],
- "model": model,
- "max_tokens": 4096,
- "temperature": 1,
- "top_p": 1,
- "stream": stream
- }
- async with session.post(cls.text_api_endpoint, json=data, proxy=proxy) as response:
- response.raise_for_status()
- part_response = ""
- if stream:
- async for line in response.content:
- if line:
- line = line.decode('utf-8').strip()
- if line.startswith("data: ") and line != "data: [DONE]":
- json_data = json.loads(line[6:])
- content = json_data['choices'][0]['delta'].get('content', '')
- part_response += content
- else:
- json_data = await response.json()
- content = json_data['choices'][0]['message']['content']
- part_response = content
-
- part_response = re.sub(
- r"One message exceeds the \d+chars per message limit\..+https:\/\/discord\.com\/invite\/\S+",
- '',
- part_response
- )
-
- part_response = re.sub(
- r"Rate limit \(\d+\/minute\) exceeded\. Join our discord for more: .+https:\/\/discord\.com\/invite\/\S+",
- '',
- part_response
- )
-
- full_response += part_response
- yield full_response
-
- @classmethod
- def _format_messages(cls, messages: Messages) -> str:
- return " ".join([msg['content'] for msg in messages])
+ async for result in provider.create_async_generator(**filtered_kwargs):
+ yield result
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-24 01:28:08 +0100