mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-24 03:23:49 +03:00
refactor(g4f/Provider/Blackbox.py): streamline model handling and improve image generation
This commit is contained in:
kqlio67
parent
abdb27a6e8
commit
a15578e229
@ -1,43 +1,38 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import uuid
|
||||
import secrets
|
||||
import re
|
||||
import base64
|
||||
import json
|
||||
from aiohttp import ClientSession
|
||||
from typing import AsyncGenerator, Optional
|
||||
|
||||
from ..typing import AsyncResult, Messages, ImageType
|
||||
from ..image import to_data_uri, ImageResponse
|
||||
from ..image import ImageResponse, to_data_uri
|
||||
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
|
||||
|
||||
class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
|
||||
url = "https://www.blackbox.ai"
|
||||
api_endpoint = "https://www.blackbox.ai/api/chat"
|
||||
working = True
|
||||
supports_stream = True
|
||||
supports_system_message = True
|
||||
supports_message_history = True
|
||||
|
||||
default_model = 'blackbox'
|
||||
models = [
|
||||
default_model,
|
||||
"gemini-1.5-flash",
|
||||
'blackbox',
|
||||
'gemini-1.5-flash',
|
||||
"llama-3.1-8b",
|
||||
'llama-3.1-70b',
|
||||
'llama-3.1-405b',
|
||||
'ImageGeneration',
|
||||
'ImageGenerationLV45LJp'
|
||||
]
|
||||
|
||||
model_aliases = {
|
||||
"gemini-flash": "gemini-1.5-flash",
|
||||
}
|
||||
|
||||
agent_mode_map = {
|
||||
'ImageGeneration': {"mode": True, "id": "ImageGenerationLV45LJp", "name": "Image Generation"},
|
||||
}
|
||||
|
||||
model_id_map = {
|
||||
"blackbox": {},
|
||||
model_config = {
|
||||
"blackbox": {'mode': True, 'id': 'blackbox'},
|
||||
"gemini-1.5-flash": {'mode': True, 'id': 'Gemini'},
|
||||
"llama-3.1-8b": {'mode': True, 'id': "llama-3.1-8b"},
|
||||
'llama-3.1-70b': {'mode': True, 'id': "llama-3.1-70b"},
|
||||
'llama-3.1-405b': {'mode': True, 'id': "llama-3.1-405b"}
|
||||
'llama-3.1-405b': {'mode': True, 'id': "llama-3.1-405b"},
|
||||
'ImageGenerationLV45LJp': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
|
||||
}
|
||||
|
||||
@classmethod
|
||||
@ -49,108 +44,80 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
|
||||
else:
|
||||
return cls.default_model
|
||||
|
||||
@classmethod
|
||||
async def download_image_to_base64_url(cls, url: str) -> str:
|
||||
async with ClientSession() as session:
|
||||
async with session.get(url) as response:
|
||||
image_data = await response.read()
|
||||
base64_data = base64.b64encode(image_data).decode('utf-8')
|
||||
mime_type = response.headers.get('Content-Type', 'image/jpeg')
|
||||
return f"data:{mime_type};base64,{base64_data}"
|
||||
|
||||
@classmethod
|
||||
async def create_async_generator(
|
||||
cls,
|
||||
model: str,
|
||||
messages: Messages,
|
||||
proxy: Optional[str] = None,
|
||||
image: Optional[ImageType] = None,
|
||||
image_name: Optional[str] = None,
|
||||
proxy: str = None,
|
||||
image: ImageType = None,
|
||||
image_name: str = None,
|
||||
**kwargs
|
||||
) -> AsyncGenerator[AsyncResult, None]:
|
||||
if image is not None:
|
||||
messages[-1]["data"] = {
|
||||
"fileText": image_name,
|
||||
"imageBase64": to_data_uri(image),
|
||||
"title": str(uuid.uuid4())
|
||||
}
|
||||
|
||||
) -> AsyncResult:
|
||||
model = cls.get_model(model)
|
||||
|
||||
headers = {
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
|
||||
"Accept": "*/*",
|
||||
"Accept-Language": "en-US,en;q=0.5",
|
||||
"Accept-Encoding": "gzip, deflate, br",
|
||||
"Referer": cls.url,
|
||||
"Content-Type": "application/json",
|
||||
"Origin": cls.url,
|
||||
"DNT": "1",
|
||||
"Sec-GPC": "1",
|
||||
"Alt-Used": "www.blackbox.ai",
|
||||
"Connection": "keep-alive",
|
||||
"accept": "*/*",
|
||||
"accept-language": "en-US,en;q=0.9",
|
||||
"cache-control": "no-cache",
|
||||
"content-type": "application/json",
|
||||
"origin": cls.url,
|
||||
"pragma": "no-cache",
|
||||
"referer": f"{cls.url}/",
|
||||
"sec-ch-ua": '"Not;A=Brand";v="24", "Chromium";v="128"',
|
||||
"sec-ch-ua-mobile": "?0",
|
||||
"sec-ch-ua-platform": '"Linux"',
|
||||
"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/128.0.0.0 Safari/537.36"
|
||||
}
|
||||
|
||||
|
||||
async with ClientSession(headers=headers) as session:
|
||||
random_id = secrets.token_hex(16)
|
||||
random_user_id = str(uuid.uuid4())
|
||||
|
||||
model = cls.get_model(model) # Resolve the model alias
|
||||
if image is not None:
|
||||
messages[-1]["data"] = {
|
||||
"fileText": image_name,
|
||||
"imageBase64": to_data_uri(image)
|
||||
}
|
||||
|
||||
data = {
|
||||
"messages": messages,
|
||||
"id": random_id,
|
||||
"userId": random_user_id,
|
||||
"id": "MRtAuMi",
|
||||
"previewToken": None,
|
||||
"userId": None,
|
||||
"codeModelMode": True,
|
||||
"agentMode": cls.agent_mode_map.get(model, {}),
|
||||
"agentMode": {},
|
||||
"trendingAgentMode": {},
|
||||
"isMicMode": False,
|
||||
"maxTokens": 1024,
|
||||
"isChromeExt": False,
|
||||
"playgroundMode": False,
|
||||
"webSearchMode": False,
|
||||
"userSystemPrompt": "",
|
||||
"githubToken": None,
|
||||
"trendingAgentModel": cls.model_id_map.get(model, {}),
|
||||
"maxTokens": None
|
||||
"clickedAnswer2": False,
|
||||
"clickedAnswer3": False,
|
||||
"clickedForceWebSearch": False,
|
||||
"visitFromDelta": False,
|
||||
"mobileClient": False
|
||||
}
|
||||
|
||||
async with session.post(
|
||||
f"{cls.url}/api/chat", json=data, proxy=proxy
|
||||
) as response:
|
||||
if model == 'ImageGenerationLV45LJp':
|
||||
data["agentMode"] = cls.model_config[model]
|
||||
else:
|
||||
data["trendingAgentMode"] = cls.model_config[model]
|
||||
|
||||
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
full_response = ""
|
||||
buffer = ""
|
||||
image_base64_url = None
|
||||
async for chunk in response.content.iter_any():
|
||||
if chunk:
|
||||
decoded_chunk = chunk.decode()
|
||||
cleaned_chunk = re.sub(r'\$@\$.+?\$@\$|\$@\$', '', decoded_chunk)
|
||||
|
||||
buffer += cleaned_chunk
|
||||
|
||||
# Check if there's a complete image line in the buffer
|
||||
image_match = re.search(r'!\[Generated Image\]\((https?://[^\s\)]+)\)', buffer)
|
||||
if image_match:
|
||||
image_url = image_match.group(1)
|
||||
# Download the image and convert to base64 URL
|
||||
image_base64_url = await cls.download_image_to_base64_url(image_url)
|
||||
|
||||
# Remove the image line from the buffer
|
||||
buffer = re.sub(r'!\[Generated Image\]\(https?://[^\s\)]+\)', '', buffer)
|
||||
|
||||
# Send text line by line
|
||||
lines = buffer.split('\n')
|
||||
for line in lines[:-1]:
|
||||
if line.strip():
|
||||
full_response += line + '\n'
|
||||
yield line + '\n'
|
||||
buffer = lines[-1] # Keep the last incomplete line in the buffer
|
||||
|
||||
# Send the remaining buffer if it's not empty
|
||||
if buffer.strip():
|
||||
full_response += buffer
|
||||
yield buffer
|
||||
|
||||
# If an image was found, send it as ImageResponse
|
||||
if image_base64_url:
|
||||
alt_text = "Generated Image"
|
||||
image_response = ImageResponse(image_base64_url, alt=alt_text)
|
||||
yield image_response
|
||||
if model == 'ImageGenerationLV45LJp':
|
||||
response_text = await response.text()
|
||||
url_match = re.search(r'https://storage\.googleapis\.com/[^\s\)]+', response_text)
|
||||
if url_match:
|
||||
image_url = url_match.group(0)
|
||||
yield ImageResponse(image_url, alt=messages[-1]['content'])
|
||||
else:
|
||||
raise Exception("Image URL not found in the response")
|
||||
else:
|
||||
async for chunk in response.content:
|
||||
if chunk:
|
||||
decoded_chunk = chunk.decode()
|
||||
if decoded_chunk.startswith('$@$v=undefined-rv1$@$'):
|
||||
decoded_chunk = decoded_chunk[len('$@$v=undefined-rv1$@$'):]
|
||||
yield decoded_chunk
|
||||
|
||||
Loading…
Reference in New Issue
Block a user