3 files changed, 0 insertions, 262 deletions

diff --git a/g4f/Provider/airforce/AirforceChat.py b/g4f/Provider/airforce/AirforceChat.py
deleted file mode 100644
index 1efe0026..00000000
--- a/g4f/Provider/airforce/AirforceChat.py
+++ /dev/null
@@ -1,179 +0,0 @@
-from __future__ import annotations
-import re
-import json
-import requests
-from aiohttp import ClientSession
-from typing import List
-import logging
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..helper import format_prompt
-
-# Helper function to clean the response
-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
-        r"\[ERROR\] '\w{8}-\w{4}-\w{4}-\w{4}-\w{12}'",  # Matches [ERROR] 'UUID'
-    ]
-    for pattern in patterns:
-        text = re.sub(pattern, '', text)
-    
-    # Remove the <|im_end|> token if present
-    text = text.replace("<|im_end|>", "").strip()
-    
-    return text
-
-def split_message(message: str, max_length: int = 1000) -> List[str]:
-    """Splits the message into chunks of a given length (max_length)"""
-    # Split the message into smaller chunks to avoid exceeding the limit
-    chunks = []
-    while len(message) > max_length:
-        # Find the last space or punctuation before max_length to avoid cutting words
-        split_point = message.rfind(' ', 0, max_length)
-        if split_point == -1:  # No space found, split at max_length
-            split_point = max_length
-        chunks.append(message[:split_point])
-        message = message[split_point:].strip()
-    if message:
-        chunks.append(message)  # Append the remaining part of the message
-    return chunks
-
-class AirforceChat(AsyncGeneratorProvider, ProviderModelMixin):
-    label = "AirForce Chat"
-    api_endpoint = "https://api.airforce/chat/completions"
-    supports_stream = True
-    supports_system_message = True
-    supports_message_history = True
-
-    default_model = 'llama-3.1-70b-chat'
-
-    @classmethod
-    def get_models(cls) -> list:
-        if not cls.models:
-            try:
-                response = requests.get('https://api.airforce/models', verify=False)
-                data = response.json()
-                cls.models = [model['id'] for model in data['data']]
-            except Exception as e:
-                logging.exception(e)
-                cls.models = [cls.default_model]
-
-    model_aliases = {
-        # openchat
-        "openchat-3.5": "openchat-3.5-0106",
-        
-        # deepseek-ai
-        "deepseek-coder": "deepseek-coder-6.7b-instruct",
-        
-        # NousResearch
-        "hermes-2-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO",
-        "hermes-2-pro": "hermes-2-pro-mistral-7b",
-        
-        # teknium
-        "openhermes-2.5": "openhermes-2.5-mistral-7b",
-        
-        # liquid
-        "lfm-40b": "lfm-40b-moe",
-        
-        # DiscoResearch
-        "german-7b": "discolm-german-7b-v1",
-            
-        # meta-llama
-        "llama-2-7b": "llama-2-7b-chat-int8",
-        "llama-2-7b": "llama-2-7b-chat-fp16",
-        "llama-3.1-70b": "llama-3.1-70b-chat",
-        "llama-3.1-8b": "llama-3.1-8b-chat",
-        "llama-3.1-70b": "llama-3.1-70b-turbo",
-        "llama-3.1-8b": "llama-3.1-8b-turbo",
-        
-        # inferless
-        "neural-7b": "neural-chat-7b-v3-1",
-        
-        # HuggingFaceH4
-        "zephyr-7b": "zephyr-7b-beta",
-        
-        # llmplayground.net
-        #"any-uncensored": "any-uncensored",    
-    }
-
-    @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)
-
-        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'
-        }
-
-        # Format the messages for the API
-        formatted_messages = format_prompt(messages)
-        message_chunks = split_message(formatted_messages)
-
-        full_response = ""
-        for chunk in message_chunks:
-            data = {
-                "messages": [{"role": "user", "content": chunk}],
-                "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, json=data, proxy=proxy) as response:
-                    response.raise_for_status()
-
-                    text = ""
-                    if stream:
-                        async for line in response.content:
-                            line = line.decode('utf-8').strip()
-                            if line.startswith('data: '):
-                                json_str = line[6:]
-                                try:
-                                    if json_str and json_str != "[DONE]":
-                                        chunk = json.loads(json_str)
-                                        if 'choices' in chunk and chunk['choices']:
-                                            content = chunk['choices'][0].get('delta', {}).get('content', '')
-                                            text += content
-                                except json.JSONDecodeError as e:
-                                    print(f"Error decoding JSON: {json_str}, Error: {e}")
-                            elif line == "[DONE]":
-                                break
-                        full_response += clean_response(text)
-                    else:
-                        response_json = await response.json()
-                        text = response_json["choices"][0]["message"]["content"]
-                        full_response += clean_response(text)
-
-        # Return the complete response after all chunks
-        yield full_response
diff --git a/g4f/Provider/airforce/AirforceImage.py b/g4f/Provider/airforce/AirforceImage.py
deleted file mode 100644
index a5bd113f..00000000
--- a/g4f/Provider/airforce/AirforceImage.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-from urllib.parse import urlencode
-import random
-import requests
-import logging
-
-from ...typing import AsyncResult, Messages
-from ...image import ImageResponse
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-
-class AirforceImage(AsyncGeneratorProvider, ProviderModelMixin):
-    label = "Airforce Image"
-    url = "https://api.airforce"
-    api_endpoint = "https://api.airforce/imagine2"
-    working = False
-    
-    default_model = 'flux'
-    additional_models = ["stable-diffusion-xl-base", "stable-diffusion-xl-lightning", "Flux-1.1-Pro"]
-    model_aliases = {
-        "sdxl": "stable-diffusion-xl-base",
-        "sdxl": "stable-diffusion-xl-lightning", 
-        "flux-pro": "Flux-1.1-Pro",
-    }
-
-    @classmethod
-    def get_models(cls) -> list:
-        if not cls.models:
-            try:
-                response = requests.get('https://api.airforce/imagine/models', verify=False)
-                response.raise_for_status()
-                cls.models = [*response.json(), *cls.additional_models]
-            except Exception as e:
-                logging.exception(e)
-                cls.models = [cls.default_model]
-        return cls.models
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        size: str = '1:1', # "1:1", "16:9", "9:16", "21:9", "9:21", "1:2", "2:1"
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        model = cls.get_model(model)
-        
-        headers = {
-            'accept': 'image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8',
-            'accept-language': 'en-US,en;q=0.9',
-            'cache-control': 'no-cache',
-            'dnt': '1',
-            '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': 'image',
-            'sec-fetch-mode': 'no-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:
-            seed = random.randint(0, 58463)
-            params = {
-                'model': model,
-                'prompt': messages[-1]["content"],
-                'size': size,
-                'seed': seed
-            }
-            full_url = f"{cls.api_endpoint}?{urlencode(params)}"
-
-            async with session.get(full_url, headers=headers, proxy=proxy) as response:
-                if response.status == 200 and response.headers.get('content-type', '').startswith('image'):
-                    yield ImageResponse(images=[full_url], alt="Generated Image")
-                else:
-                    raise Exception(f"Error: status {response.status}, content type {response.headers.get('content-type')}")
diff --git a/g4f/Provider/airforce/__init__.py b/g4f/Provider/airforce/__init__.py
deleted file mode 100644
index 5ffa6d31..00000000
--- a/g4f/Provider/airforce/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-from .AirforceChat        import AirforceChat
-from .AirforceImage       import AirforceImage