diff options
author | kqlio67 <kqlio67@users.noreply.github.com> | 2024-11-01 17:01:29 +0100 |
---|---|---|
committer | kqlio67 <kqlio67@users.noreply.github.com> | 2024-11-01 17:01:29 +0100 |
commit | 11bec81dc49412bf4ff10b5e09d452766ee043d4 (patch) | |
tree | 02eb92b8681b0d1b7694c22f4da76f6a44c71d7f /g4f/Provider/airforce | |
parent | fix(README.md): Update image generation model to flux (diff) | |
download | gpt4free-11bec81dc49412bf4ff10b5e09d452766ee043d4.tar gpt4free-11bec81dc49412bf4ff10b5e09d452766ee043d4.tar.gz gpt4free-11bec81dc49412bf4ff10b5e09d452766ee043d4.tar.bz2 gpt4free-11bec81dc49412bf4ff10b5e09d452766ee043d4.tar.lz gpt4free-11bec81dc49412bf4ff10b5e09d452766ee043d4.tar.xz gpt4free-11bec81dc49412bf4ff10b5e09d452766ee043d4.tar.zst gpt4free-11bec81dc49412bf4ff10b5e09d452766ee043d4.zip |
Diffstat (limited to 'g4f/Provider/airforce')
-rw-r--r-- | g4f/Provider/airforce/AirforceChat.py | 375 | ||||
-rw-r--r-- | g4f/Provider/airforce/AirforceImage.py | 97 | ||||
-rw-r--r-- | g4f/Provider/airforce/__init__.py | 2 |
3 files changed, 474 insertions, 0 deletions
diff --git a/g4f/Provider/airforce/AirforceChat.py b/g4f/Provider/airforce/AirforceChat.py new file mode 100644 index 00000000..b4b1eca3 --- /dev/null +++ b/g4f/Provider/airforce/AirforceChat.py @@ -0,0 +1,375 @@ +from __future__ import annotations +import re +from aiohttp import ClientSession +import json +from typing import List + +from ...typing import AsyncResult, Messages +from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ..helper import format_prompt + +def clean_response(text: str) -> str: + """Clean response from unwanted patterns.""" + patterns = [ + r"One message exceeds the \d+chars per message limit\..+https:\/\/discord\.com\/invite\/\S+", + r"Rate limit \(\d+\/minute\) exceeded\. Join our discord for more: .+https:\/\/discord\.com\/invite\/\S+", + r"Rate limit \(\d+\/hour\) exceeded\. Join our discord for more: https:\/\/discord\.com\/invite\/\S+", + r"</s>", # zephyr-7b-beta + ] + + for pattern in patterns: + text = re.sub(pattern, '', text) + return text.strip() + +def split_message(message: dict, chunk_size: int = 995) -> List[dict]: + """Split a message into chunks of specified size.""" + content = message.get('content', '') + if len(content) <= chunk_size: + return [message] + + chunks = [] + while content: + chunk = content[:chunk_size] + content = content[chunk_size:] + chunks.append({ + 'role': message['role'], + 'content': chunk + }) + return chunks + +def split_messages(messages: Messages, chunk_size: int = 995) -> Messages: + """Split all messages that exceed chunk_size into smaller messages.""" + result = [] + for message in messages: + result.extend(split_message(message, chunk_size)) + return result + +class AirforceChat(AsyncGeneratorProvider, ProviderModelMixin): + label = "AirForce Chat" + api_endpoint_completions = "https://api.airforce/chat/completions" # Замініть на реальний ендпоінт + supports_stream = True + supports_system_message = True + supports_message_history = True + + default_model = 'llama-3-70b-chat' + text_models = [ + # anthropic + 'claude-3-haiku-20240307', + 'claude-3-sonnet-20240229', + 'claude-3-5-sonnet-20240620', + 'claude-3-5-sonnet-20241022', + 'claude-3-opus-20240229', + + # openai + 'chatgpt-4o-latest', + 'gpt-4', + 'gpt-4-turbo', + 'gpt-4o-2024-05-13', + 'gpt-4o-mini-2024-07-18', + 'gpt-4o-mini', + 'gpt-4o-2024-08-06', + 'gpt-3.5-turbo', + 'gpt-3.5-turbo-0125', + 'gpt-3.5-turbo-1106', + 'gpt-4o', + 'gpt-4-turbo-2024-04-09', + 'gpt-4-0125-preview', + 'gpt-4-1106-preview', + + # meta-llama + 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', + 'llamaguard-7b', + 'Llama-Vision-Free', + 'Llama-Guard-7b', + 'Llama-3.2-90B-Vision-Instruct-Turbo', + 'Meta-Llama-Guard-3-8B', + 'Llama-3.2-11B-Vision-Instruct-Turbo', + 'Llama-Guard-3-11B-Vision-Turbo', + 'Llama-3.2-3B-Instruct-Turbo', + 'Llama-3.2-1B-Instruct-Turbo', + 'llama-2-7b-chat-int8', + 'llama-2-7b-chat-fp16', + 'Llama 3.1 405B Instruct', + 'Llama 3.1 70B Instruct', + 'Llama 3.1 8B Instruct', + + # mistral-ai + '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', + + # Gryphe + 'MythoMax-L2-13b-Lite', + 'MythoMax-L2-13b', + + # openchat + 'openchat-3.5-0106', + + # qwen + #'Qwen1.5-72B-Chat', Пуста відповідь + #'Qwen1.5-110B-Chat', Пуста відповідь + 'Qwen2-72B-Instruct', + 'Qwen2.5-7B-Instruct-Turbo', + 'Qwen2.5-72B-Instruct-Turbo', + + # google + 'gemma-2b-it', + 'gemma-2-9b-it', + 'gemma-2-27b-it', + + # gemini + 'gemini-1.5-flash', + 'gemini-1.5-pro', + + # databricks + 'dbrx-instruct', + + # deepseek-ai + 'deepseek-coder-6.7b-base', + 'deepseek-coder-6.7b-instruct', + 'deepseek-math-7b-instruct', + + # NousResearch + 'deepseek-math-7b-instruct', + 'Nous-Hermes-2-Mixtral-8x7B-DPO', + 'hermes-2-pro-mistral-7b', + + # teknium + 'openhermes-2.5-mistral-7b', + + # microsoft + 'WizardLM-2-8x22B', + 'phi-2', + + # upstage + 'SOLAR-10.7B-Instruct-v1.0', + + # pawan + 'cosmosrp', + + # liquid + 'lfm-40b-moe', + + # DiscoResearch + 'discolm-german-7b-v1', + + # tiiuae + 'falcon-7b-instruct', + + # defog + 'sqlcoder-7b-2', + + # tinyllama + 'tinyllama-1.1b-chat', + + # HuggingFaceH4 + 'zephyr-7b-beta', + ] + + models = [*text_models] + + model_aliases = { + # anthropic + "claude-3-haiku": "claude-3-haiku-20240307", + "claude-3-sonnet": "claude-3-sonnet-20240229", + "claude-3.5-sonnet": "claude-3-5-sonnet-20240620", + "claude-3.5-sonnet": "claude-3-5-sonnet-20241022", + "claude-3-opus": "claude-3-opus-20240229", + + # openai + "gpt-4o": "chatgpt-4o-latest", + #"gpt-4": "gpt-4", + #"gpt-4-turbo": "gpt-4-turbo", + "gpt-4o": "gpt-4o-2024-05-13", + "gpt-4o-mini": "gpt-4o-mini-2024-07-18", + #"gpt-4o-mini": "gpt-4o-mini", + "gpt-4o": "gpt-4o-2024-08-06", + "gpt-3.5-turbo": "gpt-3.5-turbo", + "gpt-3.5-turbo": "gpt-3.5-turbo-0125", + "gpt-3.5-turbo": "gpt-3.5-turbo-1106", + #"gpt-4o": "gpt-4o", + "gpt-4-turbo": "gpt-4-turbo-2024-04-09", + "gpt-4": "gpt-4-0125-preview", + "gpt-4": "gpt-4-1106-preview", + + # meta-llama + "llama-3-70b": "llama-3-70b-chat", + "llama-3-8b": "llama-3-8b-chat", + "llama-3-8b": "llama-3-8b-chat-turbo", + "llama-3-70b": "llama-3-70b-chat-lite", + "llama-3-8b": "llama-3-8b-chat-lite", + "llama-2-13b": "llama-2-13b-chat", + "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", + "llamaguard-2-8b": "LlamaGuard-2-8b", + "llamaguard-7b": "llamaguard-7b", + #"llama_vision_free": "Llama-Vision-Free", # Unknown + "llamaguard-7b": "Llama-Guard-7b", + "llama-3.2-90b": "Llama-3.2-90B-Vision-Instruct-Turbo", + "llamaguard-3-8b": "Meta-Llama-Guard-3-8B", + "llama-3.2-11b": "Llama-3.2-11B-Vision-Instruct-Turbo", + "llamaguard-3-11b": "Llama-Guard-3-11B-Vision-Turbo", + "llama-3.2-3b": "Llama-3.2-3B-Instruct-Turbo", + "llama-3.2-1b": "Llama-3.2-1B-Instruct-Turbo", + "llama-2-7b": "llama-2-7b-chat-int8", + "llama-2-7b": "llama-2-7b-chat-fp16", + "llama-3.1-405b": "Llama 3.1 405B Instruct", + "llama-3.1-70b": "Llama 3.1 70B Instruct", + "llama-3.1-8b": "Llama 3.1 8B Instruct", + + # mistral-ai + "mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1", + "mixtral-8x22b": "Mixtral-8x22B-Instruct-v0.1", + "mixtral-8x7b": "Mistral-7B-Instruct-v0.1", + "mixtral-8x7b": "Mistral-7B-Instruct-v0.2", + "mixtral-8x7b": "Mistral-7B-Instruct-v0.3", + + # Gryphe + "mythomax-13b": "MythoMax-L2-13b-Lite", + "mythomax-13b": "MythoMax-L2-13b", + + # openchat + "openchat-3.5": "openchat-3.5-0106", + + # qwen + #"qwen-1.5-72b": "Qwen1.5-72B-Chat", # Empty answer + #"qwen-1.5-110b": "Qwen1.5-110B-Chat", # Empty answer + "qwen-2-72b": "Qwen2-72B-Instruct", + "qwen-2-5-7b": "Qwen2.5-7B-Instruct-Turbo", + "qwen-2-5-72b": "Qwen2.5-72B-Instruct-Turbo", + + # google + "gemma-2b": "gemma-2b-it", + "gemma-2-9b": "gemma-2-9b-it", + "gemma-2b-27b": "gemma-2-27b-it", + + # gemini + "gemini-flash": "gemini-1.5-flash", + "gemini-pro": "gemini-1.5-pro", + + # databricks + "dbrx-instruct": "dbrx-instruct", + + # deepseek-ai + #"deepseek-coder": "deepseek-coder-6.7b-base", + "deepseek-coder": "deepseek-coder-6.7b-instruct", + #"deepseek-math": "deepseek-math-7b-instruct", + + # NousResearch + #"deepseek-math": "deepseek-math-7b-instruct", + "hermes-2-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO", + "hermes-2": "hermes-2-pro-mistral-7b", + + # teknium + "openhermes-2.5": "openhermes-2.5-mistral-7b", + + # microsoft + "wizardlm-2-8x22b": "WizardLM-2-8x22B", + #"phi-2": "phi-2", + + # upstage + "solar-10-7b": "SOLAR-10.7B-Instruct-v1.0", + + # pawan + #"cosmosrp": "cosmosrp", + + # liquid + "lfm-40b": "lfm-40b-moe", + + # DiscoResearch + "german-7b": "discolm-german-7b-v1", + + # tiiuae + #"falcon-7b": "falcon-7b-instruct", + + # defog + #"sqlcoder-7b": "sqlcoder-7b-2", + + # tinyllama + #"tinyllama-1b": "tinyllama-1.1b-chat", + + # HuggingFaceH4 + "zephyr-7b": "zephyr-7b-beta", + } + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + stream: bool = False, + proxy: str = None, + max_tokens: str = 4096, + temperature: str = 1, + top_p: str = 1, + **kwargs + ) -> AsyncResult: + model = cls.get_model(model) + + chunked_messages = split_messages(messages) + + headers = { + 'accept': '*/*', + 'accept-language': 'en-US,en;q=0.9', + 'authorization': 'Bearer missing api key', + 'cache-control': 'no-cache', + 'content-type': 'application/json', + 'origin': 'https://llmplayground.net', + 'pragma': 'no-cache', + 'priority': 'u=1, i', + 'referer': 'https://llmplayground.net/', + 'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"', + '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/130.0.0.0 Safari/537.36' + } + + data = { + "messages": chunked_messages, + "model": model, + "max_tokens": max_tokens, + "temperature": temperature, + "top_p": top_p, + "stream": stream + } + + async with ClientSession(headers=headers) as session: + async with session.post(cls.api_endpoint_completions, json=data, proxy=proxy) as response: + response.raise_for_status() + text = "" + if stream: + async for line in response.content: + line = line.decode('utf-8') + if line.startswith('data: '): + json_str = line[6:] + try: + chunk = json.loads(json_str) + if 'choices' in chunk and chunk['choices']: + content = chunk['choices'][0].get('delta', {}).get('content', '') + text += content # Збираємо дельти + except json.JSONDecodeError as e: + print(f"Error decoding JSON: {json_str}, Error: {e}") + elif line.strip() == "[DONE]": + break + yield clean_response(text) + else: + response_json = await response.json() + text = response_json["choices"][0]["message"]["content"] + yield clean_response(text) + diff --git a/g4f/Provider/airforce/AirforceImage.py b/g4f/Provider/airforce/AirforceImage.py new file mode 100644 index 00000000..010d1a94 --- /dev/null +++ b/g4f/Provider/airforce/AirforceImage.py @@ -0,0 +1,97 @@ +from __future__ import annotations + +from aiohttp import ClientSession +import random + +from ...typing import AsyncResult, Messages +from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ...image import ImageResponse + + +class AirforceImage(AsyncGeneratorProvider, ProviderModelMixin): + label = "Airforce Image" + #url = "https://api.airforce" + api_endpoint_imagine2 = "https://api.airforce/imagine2" + #working = True + + default_model = 'flux' + image_models = [ + 'flux', + 'flux-realism', + 'flux-anime', + 'flux-3d', + 'flux-disney', + 'flux-pixel', + 'flux-4o', + 'any-dark', + 'stable-diffusion-xl-base', + 'stable-diffusion-xl-lightning', + ] + models = [*image_models] + + model_aliases = { + "sdxl": "stable-diffusion-xl-base", + "sdxl": "stable-diffusion-xl-lightning", + } + + + @classmethod + def get_model(cls, model: str) -> str: + if model in cls.models: + return model + elif model in cls.model_aliases: + return cls.model_aliases[model] + else: + return cls.default_model + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + size: str = '1:1', + proxy: str = None, + **kwargs + ) -> AsyncResult: + model = cls.get_model(model) + + headers = { + 'accept': '*/*', + 'accept-language': 'en-US,en;q=0.9', + 'authorization': 'Bearer missing api key', + 'cache-control': 'no-cache', + 'origin': 'https://llmplayground.net', + 'pragma': 'no-cache', + 'priority': 'u=1, i', + 'referer': 'https://llmplayground.net/', + 'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"', + '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/130.0.0.0 Safari/537.36' + } + + async with ClientSession(headers=headers) as session: + prompt = messages[-1]['content'] + seed = random.randint(0, 4294967295) + params = { + 'model': model, + 'prompt': prompt, + 'size': size, + 'seed': str(seed) + } + async with session.get(cls.api_endpoint_imagine2, params=params, proxy=proxy) as response: + response.raise_for_status() + if response.status == 200: + content_type = response.headers.get('Content-Type', '') + if 'image' in content_type: + image_url = str(response.url) + yield ImageResponse(image_url, alt="Airforce generated image") + else: + content = await response.text() + yield f"Unexpected content type: {content_type}\nResponse content: {content}" + else: + error_content = await response.text() + yield f"Error: {error_content}" diff --git a/g4f/Provider/airforce/__init__.py b/g4f/Provider/airforce/__init__.py new file mode 100644 index 00000000..5ffa6d31 --- /dev/null +++ b/g4f/Provider/airforce/__init__.py @@ -0,0 +1,2 @@ +from .AirforceChat import AirforceChat +from .AirforceImage import AirforceImage |