gpt4free/g4f/Provider/AmigoChat.py
H Lohaus 6ce493d4df
Fix api streaming, fix AsyncClient (#2357)
* Fix api streaming, fix AsyncClient, Improve Client class, Some providers fixes, Update models list, Fix some tests, Update model list in Airforce provid
er, Add OpenAi image generation url to api, Fix reload and debug in api arguments, Fix websearch in gui

* Fix Cloadflare and Pi and AmigoChat provider

* Fix conversation support in DDG provider, Add cloudflare bypass with nodriver

* Fix unittests without curl_cffi
2024-11-16 13:19:51 +01:00

177 lines
7.1 KiB
Python

from __future__ import annotations
import json
import uuid
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..image import ImageResponse
from ..requests import StreamSession, raise_for_status
from ..errors import ResponseStatusError
class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://amigochat.io/chat/"
chat_api_endpoint = "https://api.amigochat.io/v1/chat/completions"
image_api_endpoint = "https://api.amigochat.io/v1/images/generations"
working = True
supports_stream = True
supports_system_message = True
supports_message_history = True
default_model = 'gpt-4o-mini'
chat_models = [
'gpt-4o',
default_model,
'o1-preview',
'o1-mini',
'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo',
'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
'claude-3-sonnet-20240229',
'gemini-1.5-pro',
]
image_models = [
'flux-pro/v1.1',
'flux-realism',
'flux-pro',
'dalle-e-3',
]
models = [*chat_models, *image_models]
model_aliases = {
"o1": "o1-preview",
"llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
"llama-3.2-90b": "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
"claude-3.5-sonnet": "claude-3-sonnet-20240229",
"gemini-pro": "gemini-1.5-pro",
"flux-pro": "flux-pro/v1.1",
"dalle-3": "dalle-e-3",
}
persona_ids = {
'gpt-4o': "gpt",
'gpt-4o-mini': "amigo",
'o1-preview': "openai-o-one",
'o1-mini': "openai-o-one-mini",
'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo': "llama-three-point-one",
'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo': "llama-3-2",
'claude-3-sonnet-20240229': "claude",
'gemini-1.5-pro': "gemini-1-5-pro",
'flux-pro/v1.1': "flux-1-1-pro",
'flux-realism': "flux-realism",
'flux-pro': "flux-pro",
'dalle-e-3': "dalle-three",
}
@classmethod
def get_personaId(cls, model: str) -> str:
return cls.persona_ids[model]
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
stream: bool = False,
timeout: int = 300,
frequency_penalty: float = 0,
max_tokens: int = 4000,
presence_penalty: float = 0,
temperature: float = 0.5,
top_p: float = 0.95,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
device_uuid = str(uuid.uuid4())
max_retries = 3
retry_count = 0
while retry_count < max_retries:
try:
headers = {
"accept": "*/*",
"accept-language": "en-US,en;q=0.9",
"authorization": "Bearer",
"cache-control": "no-cache",
"content-type": "application/json",
"origin": cls.url,
"pragma": "no-cache",
"priority": "u=1, i",
"referer": f"{cls.url}/",
"sec-ch-ua": '"Chromium";v="129", "Not=A?Brand";v="8"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36",
"x-device-language": "en-US",
"x-device-platform": "web",
"x-device-uuid": device_uuid,
"x-device-version": "1.0.41"
}
async with StreamSession(headers=headers, proxy=proxy) as session:
if model not in cls.image_models:
data = {
"messages": messages,
"model": model,
"personaId": cls.get_personaId(model),
"frequency_penalty": frequency_penalty,
"max_tokens": max_tokens,
"presence_penalty": presence_penalty,
"stream": stream,
"temperature": temperature,
"top_p": top_p
}
async with session.post(cls.chat_api_endpoint, json=data, timeout=timeout) as response:
await raise_for_status(response)
async for line in response.iter_lines():
line = line.decode('utf-8').strip()
if line.startswith('data: '):
if line == 'data: [DONE]':
break
try:
chunk = json.loads(line[6:]) # Remove 'data: ' prefix
if 'choices' in chunk and len(chunk['choices']) > 0:
choice = chunk['choices'][0]
if 'delta' in choice:
content = choice['delta'].get('content')
elif 'text' in choice:
content = choice['text']
else:
content = None
if content:
yield content
except json.JSONDecodeError:
pass
else:
# Image generation
prompt = messages[-1]['content']
data = {
"prompt": prompt,
"model": model,
"personaId": cls.get_personaId(model)
}
async with session.post(cls.image_api_endpoint, json=data) as response:
await raise_for_status(response)
response_data = await response.json()
if "data" in response_data:
image_urls = []
for item in response_data["data"]:
if "url" in item:
image_url = item["url"]
image_urls.append(image_url)
if image_urls:
yield ImageResponse(image_urls, prompt)
else:
yield None
break
except (ResponseStatusError, Exception) as e:
retry_count += 1
if retry_count >= max_retries:
raise e
device_uuid = str(uuid.uuid4())