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-rw-r--r--g4f/Provider/Airforce.py2
-rw-r--r--g4f/Provider/Binjie.py65
-rw-r--r--g4f/Provider/Blackbox.py2
-rw-r--r--g4f/Provider/ChatifyAI.py10
-rw-r--r--g4f/Provider/LiteIcoding.py132
-rw-r--r--g4f/Provider/__init__.py2
-rw-r--r--g4f/Provider/nexra/NexraAnimagineXL.py66
-rw-r--r--g4f/Provider/nexra/NexraBing.py2
-rw-r--r--g4f/Provider/nexra/NexraGeminiPro.py2
-rw-r--r--g4f/Provider/nexra/NexraLLaMA31.py10
-rw-r--r--g4f/Provider/nexra/NexraMidjourney.py2
-rw-r--r--g4f/Provider/nexra/NexraProdiaAI.py2
-rw-r--r--g4f/Provider/nexra/NexraSD15.py2
-rw-r--r--g4f/Provider/nexra/NexraSD21.py2
-rw-r--r--g4f/Provider/nexra/NexraSDLora.py2
-rw-r--r--g4f/Provider/nexra/NexraSDTurbo.py2
-rw-r--r--g4f/Provider/nexra/__init__.py1
17 files changed, 27 insertions, 279 deletions
diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
index 3ec08b99..e7907cec 100644
--- a/g4f/Provider/Airforce.py
+++ b/g4f/Provider/Airforce.py
@@ -37,7 +37,7 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
'gpt-3.5-turbo',
'gpt-3.5-turbo-0125',
'gpt-3.5-turbo-1106',
- 'llama-3-70b-chat',
+ default_model,
'llama-3-70b-chat-turbo',
'llama-3-8b-chat',
'llama-3-8b-chat-turbo',
diff --git a/g4f/Provider/Binjie.py b/g4f/Provider/Binjie.py
deleted file mode 100644
index 90f9ec3c..00000000
--- a/g4f/Provider/Binjie.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from __future__ import annotations
-
-import random
-from ..requests import StreamSession
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, format_prompt
-
-
-class Binjie(AsyncGeneratorProvider):
- url = "https://chat18.aichatos8.com"
- working = True
- supports_gpt_4 = True
- supports_stream = True
- supports_system_message = True
- supports_message_history = True
-
- @staticmethod
- async def create_async_generator(
- model: str,
- messages: Messages,
- proxy: str = None,
- timeout: int = 120,
- **kwargs,
- ) -> AsyncResult:
- async with StreamSession(
- headers=_create_header(), proxies={"https": proxy}, timeout=timeout
- ) as session:
- payload = _create_payload(messages, **kwargs)
- async with session.post("https://api.binjie.fun/api/generateStream", json=payload) as response:
- response.raise_for_status()
- async for chunk in response.iter_content():
- if chunk:
- chunk = chunk.decode()
- if "sorry, 您的ip已由于触发防滥用检测而被封禁" in chunk:
- raise RuntimeError("IP address is blocked by abuse detection.")
- yield chunk
-
-
-def _create_header():
- return {
- "accept" : "application/json, text/plain, */*",
- "content-type" : "application/json",
- "origin" : "https://chat18.aichatos8.com",
- "referer" : "https://chat18.aichatos8.com/"
- }
-
-
-def _create_payload(
- messages: Messages,
- system_message: str = "",
- user_id: int = None,
- **kwargs
-):
- if not user_id:
- user_id = random.randint(1690000544336, 2093025544336)
- return {
- "prompt": format_prompt(messages),
- "network": True,
- "system": system_message,
- "withoutContext": False,
- "stream": True,
- "userId": f"#/chat/{user_id}"
- }
-
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py
index 3bc49dc4..5989145b 100644
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -80,7 +80,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
"gpt-4o": "gpt-4o",
"gemini-pro": "gemini-pro",
'claude-sonnet-3.5': "claude-sonnet-3.5",
- 'blackboxai-pro': "blackboxai-pro",
}
model_prefixes = {
@@ -107,7 +106,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
model_referers = {
"blackboxai": f"{url}/?model=blackboxai",
- "blackboxai-pro": f"{url}/?model=blackboxai-pro",
"gpt-4o": f"{url}/?model=gpt-4o",
"gemini-pro": f"{url}/?model=gemini-pro",
"claude-sonnet-3.5": f"{url}/?model=claude-sonnet-3.5"
diff --git a/g4f/Provider/ChatifyAI.py b/g4f/Provider/ChatifyAI.py
index c5b4a104..a999afac 100644
--- a/g4f/Provider/ChatifyAI.py
+++ b/g4f/Provider/ChatifyAI.py
@@ -17,10 +17,18 @@ class ChatifyAI(AsyncGeneratorProvider, ProviderModelMixin):
default_model = 'llama-3.1'
models = [default_model]
+ model_aliases = {
+ "llama-3.1-8b": "llama-3.1",
+ }
@classmethod
def get_model(cls, model: str) -> str:
- return cls.default_model
+ if model in cls.models:
+ return model
+ elif model in cls.model_aliases:
+ return cls.model_aliases.get(model, cls.default_model)
+ else:
+ return cls.default_model
@classmethod
async def create_async_generator(
diff --git a/g4f/Provider/LiteIcoding.py b/g4f/Provider/LiteIcoding.py
deleted file mode 100644
index f349c85e..00000000
--- a/g4f/Provider/LiteIcoding.py
+++ /dev/null
@@ -1,132 +0,0 @@
-from __future__ import annotations
-import base64
-import re
-from aiohttp import ClientSession, ClientResponseError
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
-
-class LiteIcoding(AsyncGeneratorProvider, ProviderModelMixin):
- url = "https://lite.icoding.ink"
- api_endpoint = "/api/v1/gpt/message"
- working = True
- supports_gpt_4 = True
- default_model = "gpt-4o"
- models = [
- 'gpt-4o',
- 'gpt-4-turbo',
- 'claude-3',
- 'claude-3.5',
- 'gemini-1.5',
- ]
-
- model_aliases = {
- "gpt-4o-mini": "gpt-4o",
- "gemini-pro": "gemini-1.5",
- }
-
- bearer_tokens = [
- "NWQ2OWNkMjcxYjE0NDIyNmFjMTE5OWIzYzg0OWE1NjY=",
- ]
- current_token_index = 0
-
- @classmethod
- def decode_token(cls, encoded_token: str) -> str:
- return base64.b64decode(encoded_token).decode('utf-8')
-
- @classmethod
- def get_next_bearer_token(cls):
- encoded_token = cls.bearer_tokens[cls.current_token_index]
- cls.current_token_index = (cls.current_token_index + 1) % len(cls.bearer_tokens)
- return cls.decode_token(encoded_token)
-
- @classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- **kwargs
- ) -> AsyncResult:
- bearer_token = cls.get_next_bearer_token()
- headers = {
- "Accept": "*/*",
- "Accept-Language": "en-US,en;q=0.9",
- "Authorization": f"Bearer {bearer_token}",
- "Connection": "keep-alive",
- "Content-Type": "application/json;charset=utf-8",
- "DNT": "1",
- "Origin": cls.url,
- "Referer": f"{cls.url}/",
- "Sec-Fetch-Dest": "empty",
- "Sec-Fetch-Mode": "cors",
- "Sec-Fetch-Site": "same-origin",
- "User-Agent": (
- "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) "
- "Chrome/126.0.0.0 Safari/537.36"
- ),
- "sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"',
- "sec-ch-ua-mobile": "?0",
- "sec-ch-ua-platform": '"Linux"',
- }
-
- data = {
- "model": model,
- "chatId": "-1",
- "messages": [
- {
- "role": msg["role"],
- "content": msg["content"],
- "time": msg.get("time", ""),
- "attachments": msg.get("attachments", []),
- }
- for msg in messages
- ],
- "plugins": [],
- "systemPrompt": "",
- "temperature": 0.5,
- }
-
- async with ClientSession(headers=headers) as session:
- try:
- async with session.post(
- f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy
- ) as response:
- response.raise_for_status()
- buffer = ""
- full_response = ""
-
- def decode_content(data):
- bytes_array = bytes([int(b, 16) ^ 255 for b in data.split()])
- return bytes_array.decode('utf-8')
-
- async for chunk in response.content.iter_any():
- if chunk:
- buffer += chunk.decode()
- while "\n\n" in buffer:
- part, buffer = buffer.split("\n\n", 1)
- if part.startswith("data: "):
- content = part[6:].strip()
- if content and content != "[DONE]":
- content = content.strip('"')
- decoded_content = decode_content(content)
- full_response += decoded_content
- full_response = (
- full_response.replace('""', '')
- .replace('" "', ' ')
- .replace("\\n\\n", "\n\n")
- .replace("\\n", "\n")
- .replace('\\"', '"')
- .strip()
- )
- filtered_response = re.sub(r'\n---\n.*', '', full_response, flags=re.DOTALL)
- cleaned_response = filtered_response.strip().strip('"')
- yield cleaned_response
-
- except ClientResponseError as e:
- raise RuntimeError(
- f"ClientResponseError {e.status}: {e.message}, url={e.request_info.url}, data={data}"
- ) from e
-
- except Exception as e:
- raise RuntimeError(f"Unexpected error: {str(e)}") from e
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 73a17e10..3d6539fc 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -22,7 +22,6 @@ from .Airforce import Airforce
from .Aura import Aura
from .Bing import Bing
from .BingCreateImages import BingCreateImages
-from .Binjie import Binjie
from .Blackbox import Blackbox
from .ChatGot import ChatGot
from .ChatGpt import ChatGpt
@@ -50,7 +49,6 @@ from .HuggingChat import HuggingChat
from .HuggingFace import HuggingFace
from .Koala import Koala
from .Liaobots import Liaobots
-from .LiteIcoding import LiteIcoding
from .Local import Local
from .MagickPen import MagickPen
from .MetaAI import MetaAI
diff --git a/g4f/Provider/nexra/NexraAnimagineXL.py b/g4f/Provider/nexra/NexraAnimagineXL.py
deleted file mode 100644
index d6fbc629..00000000
--- a/g4f/Provider/nexra/NexraAnimagineXL.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-import json
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ...image import ImageResponse
-
-
-class NexraAnimagineXL(AsyncGeneratorProvider, ProviderModelMixin):
- label = "Nexra Animagine XL"
- url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
- api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
- working = True
-
- default_model = 'animagine-xl'
- models = [default_model]
-
- @classmethod
- def get_model(cls, model: str) -> str:
- return cls.default_model
-
- @classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- response: str = "url", # base64 or url
- **kwargs
- ) -> AsyncResult:
- # Retrieve the correct model to use
- model = cls.get_model(model)
-
- # Format the prompt from the messages
- prompt = messages[0]['content']
-
- headers = {
- "Content-Type": "application/json"
- }
- payload = {
- "prompt": prompt,
- "model": model,
- "response": response
- }
-
- async with ClientSession(headers=headers) as session:
- async with session.post(cls.api_endpoint, json=payload, proxy=proxy) as response:
- response.raise_for_status()
- text_data = await response.text()
-
- try:
- # Parse the JSON response
- json_start = text_data.find('{')
- json_data = text_data[json_start:]
- data = json.loads(json_data)
-
- # Check if the response contains images
- if 'images' in data and len(data['images']) > 0:
- image_url = data['images'][0]
- yield ImageResponse(image_url, prompt)
- else:
- yield ImageResponse("No images found in the response.", prompt)
- except json.JSONDecodeError:
- yield ImageResponse("Failed to parse JSON. Response might not be in JSON format.", prompt)
diff --git a/g4f/Provider/nexra/NexraBing.py b/g4f/Provider/nexra/NexraBing.py
index 02f3724d..716e9254 100644
--- a/g4f/Provider/nexra/NexraBing.py
+++ b/g4f/Provider/nexra/NexraBing.py
@@ -13,7 +13,7 @@ class NexraBing(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Bing"
url = "https://nexra.aryahcr.cc/documentation/bing/en"
api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
- working = True
+ working = False
supports_gpt_4 = False
supports_stream = False
diff --git a/g4f/Provider/nexra/NexraGeminiPro.py b/g4f/Provider/nexra/NexraGeminiPro.py
index 651f7cb4..fb0b096b 100644
--- a/g4f/Provider/nexra/NexraGeminiPro.py
+++ b/g4f/Provider/nexra/NexraGeminiPro.py
@@ -11,7 +11,7 @@ class NexraGeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Gemini PRO"
url = "https://nexra.aryahcr.cc/documentation/gemini-pro/en"
api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
- working = True
+ working = False
supports_stream = True
default_model = 'gemini-pro'
diff --git a/g4f/Provider/nexra/NexraLLaMA31.py b/g4f/Provider/nexra/NexraLLaMA31.py
index c67febb3..d461f2b2 100644
--- a/g4f/Provider/nexra/NexraLLaMA31.py
+++ b/g4f/Provider/nexra/NexraLLaMA31.py
@@ -17,10 +17,18 @@ class NexraLLaMA31(AsyncGeneratorProvider, ProviderModelMixin):
default_model = 'llama-3.1'
models = [default_model]
+ model_aliases = {
+ "llama-3.1-8b": "llama-3.1",
+ }
@classmethod
def get_model(cls, model: str) -> str:
- return cls.default_model
+ if model in cls.models:
+ return model
+ elif model in cls.model_aliases:
+ return cls.model_aliases.get(model, cls.default_model)
+ else:
+ return cls.default_model
@classmethod
async def create_async_generator(
diff --git a/g4f/Provider/nexra/NexraMidjourney.py b/g4f/Provider/nexra/NexraMidjourney.py
index 3d6a4960..e43cb164 100644
--- a/g4f/Provider/nexra/NexraMidjourney.py
+++ b/g4f/Provider/nexra/NexraMidjourney.py
@@ -12,7 +12,7 @@ class NexraMidjourney(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Midjourney"
url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
- working = True
+ working = False
default_model = 'midjourney'
models = [default_model]
diff --git a/g4f/Provider/nexra/NexraProdiaAI.py b/g4f/Provider/nexra/NexraProdiaAI.py
index 262558fd..9d82ab9b 100644
--- a/g4f/Provider/nexra/NexraProdiaAI.py
+++ b/g4f/Provider/nexra/NexraProdiaAI.py
@@ -12,7 +12,7 @@ class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Prodia AI"
url = "https://nexra.aryahcr.cc/documentation/prodia/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
- working = True
+ working = False
default_model = 'absolutereality_v181.safetensors [3d9d4d2b]'
models = [
diff --git a/g4f/Provider/nexra/NexraSD15.py b/g4f/Provider/nexra/NexraSD15.py
index 410947df..03b35013 100644
--- a/g4f/Provider/nexra/NexraSD15.py
+++ b/g4f/Provider/nexra/NexraSD15.py
@@ -12,7 +12,7 @@ class NexraSD15(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion 1.5"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
- working = True
+ working = False
default_model = 'stablediffusion-1.5'
models = [default_model]
diff --git a/g4f/Provider/nexra/NexraSD21.py b/g4f/Provider/nexra/NexraSD21.py
index fc5c90d9..46cd6611 100644
--- a/g4f/Provider/nexra/NexraSD21.py
+++ b/g4f/Provider/nexra/NexraSD21.py
@@ -12,7 +12,7 @@ class NexraSD21(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion 2.1"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
- working = True
+ working = False
default_model = 'stablediffusion-2.1'
models = [default_model]
diff --git a/g4f/Provider/nexra/NexraSDLora.py b/g4f/Provider/nexra/NexraSDLora.py
index ad986507..a33afa04 100644
--- a/g4f/Provider/nexra/NexraSDLora.py
+++ b/g4f/Provider/nexra/NexraSDLora.py
@@ -12,7 +12,7 @@ class NexraSDLora(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion Lora"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
- working = True
+ working = False
default_model = 'sdxl-lora'
models = [default_model]
diff --git a/g4f/Provider/nexra/NexraSDTurbo.py b/g4f/Provider/nexra/NexraSDTurbo.py
index feb59f0b..da1428b8 100644
--- a/g4f/Provider/nexra/NexraSDTurbo.py
+++ b/g4f/Provider/nexra/NexraSDTurbo.py
@@ -12,7 +12,7 @@ class NexraSDTurbo(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion Turbo"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
- working = True
+ working = False
default_model = 'sdxl-turbo'
models = [default_model]
diff --git a/g4f/Provider/nexra/__init__.py b/g4f/Provider/nexra/__init__.py
index d8b9218f..c2e6b2f6 100644
--- a/g4f/Provider/nexra/__init__.py
+++ b/g4f/Provider/nexra/__init__.py
@@ -1,4 +1,3 @@
-from .NexraAnimagineXL import NexraAnimagineXL
from .NexraBing import NexraBing
from .NexraBlackbox import NexraBlackbox
from .NexraChatGPT import NexraChatGPT
generated by cgit v1.2.3 (git 2.25.1) at 2024-10-27 20:31:20 +0100