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refactor(g4f/Provider/Blackbox.py): streamline model handling and improve image generation
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kqlio67
parent
abdb27a6e8
commit
a15578e229
@ -1,43 +1,38 @@
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from __future__ import annotations
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import uuid
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import secrets
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import re
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import base64
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import json
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from aiohttp import ClientSession
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from typing import AsyncGenerator, Optional
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from ..typing import AsyncResult, Messages, ImageType
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from ..image import to_data_uri, ImageResponse
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from ..image import ImageResponse, to_data_uri
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://www.blackbox.ai"
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api_endpoint = "https://www.blackbox.ai/api/chat"
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working = True
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supports_stream = True
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supports_system_message = True
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supports_message_history = True
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default_model = 'blackbox'
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models = [
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default_model,
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"gemini-1.5-flash",
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'blackbox',
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'gemini-1.5-flash',
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"llama-3.1-8b",
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'llama-3.1-70b',
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'llama-3.1-405b',
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'ImageGeneration',
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'ImageGenerationLV45LJp'
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]
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model_aliases = {
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"gemini-flash": "gemini-1.5-flash",
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}
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agent_mode_map = {
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'ImageGeneration': {"mode": True, "id": "ImageGenerationLV45LJp", "name": "Image Generation"},
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}
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model_id_map = {
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"blackbox": {},
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model_config = {
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"blackbox": {'mode': True, 'id': 'blackbox'},
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"gemini-1.5-flash": {'mode': True, 'id': 'Gemini'},
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"llama-3.1-8b": {'mode': True, 'id': "llama-3.1-8b"},
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'llama-3.1-70b': {'mode': True, 'id': "llama-3.1-70b"},
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'llama-3.1-405b': {'mode': True, 'id': "llama-3.1-405b"}
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'llama-3.1-405b': {'mode': True, 'id': "llama-3.1-405b"},
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'ImageGenerationLV45LJp': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
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}
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@classmethod
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@ -49,108 +44,80 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
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else:
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return cls.default_model
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@classmethod
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async def download_image_to_base64_url(cls, url: str) -> str:
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async with ClientSession() as session:
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async with session.get(url) as response:
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image_data = await response.read()
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base64_data = base64.b64encode(image_data).decode('utf-8')
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mime_type = response.headers.get('Content-Type', 'image/jpeg')
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return f"data:{mime_type};base64,{base64_data}"
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: Optional[str] = None,
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image: Optional[ImageType] = None,
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image_name: Optional[str] = None,
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proxy: str = None,
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image: ImageType = None,
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image_name: str = None,
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**kwargs
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) -> AsyncGenerator[AsyncResult, None]:
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if image is not None:
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messages[-1]["data"] = {
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"fileText": image_name,
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"imageBase64": to_data_uri(image),
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"title": str(uuid.uuid4())
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}
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) -> AsyncResult:
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model = cls.get_model(model)
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headers = {
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"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",
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"Accept": "*/*",
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"Accept-Language": "en-US,en;q=0.5",
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"Accept-Encoding": "gzip, deflate, br",
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"Referer": cls.url,
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"Content-Type": "application/json",
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"Origin": cls.url,
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"DNT": "1",
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"Sec-GPC": "1",
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"Alt-Used": "www.blackbox.ai",
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"Connection": "keep-alive",
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"accept": "*/*",
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"accept-language": "en-US,en;q=0.9",
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"cache-control": "no-cache",
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"content-type": "application/json",
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"origin": cls.url,
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"pragma": "no-cache",
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"referer": f"{cls.url}/",
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"sec-ch-ua": '"Not;A=Brand";v="24", "Chromium";v="128"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"Linux"',
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-origin",
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"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36"
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}
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async with ClientSession(headers=headers) as session:
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random_id = secrets.token_hex(16)
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random_user_id = str(uuid.uuid4())
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model = cls.get_model(model) # Resolve the model alias
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if image is not None:
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messages[-1]["data"] = {
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"fileText": image_name,
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"imageBase64": to_data_uri(image)
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}
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data = {
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"messages": messages,
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"id": random_id,
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"userId": random_user_id,
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"id": "MRtAuMi",
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"previewToken": None,
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"userId": None,
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"codeModelMode": True,
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"agentMode": cls.agent_mode_map.get(model, {}),
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"agentMode": {},
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"trendingAgentMode": {},
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"isMicMode": False,
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"maxTokens": 1024,
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"isChromeExt": False,
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"playgroundMode": False,
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"webSearchMode": False,
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"userSystemPrompt": "",
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"githubToken": None,
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"trendingAgentModel": cls.model_id_map.get(model, {}),
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"maxTokens": None
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"clickedAnswer2": False,
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"clickedAnswer3": False,
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"clickedForceWebSearch": False,
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"visitFromDelta": False,
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"mobileClient": False
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}
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async with session.post(
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f"{cls.url}/api/chat", json=data, proxy=proxy
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) as response:
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if model == 'ImageGenerationLV45LJp':
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data["agentMode"] = cls.model_config[model]
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else:
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data["trendingAgentMode"] = cls.model_config[model]
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async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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full_response = ""
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buffer = ""
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image_base64_url = None
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async for chunk in response.content.iter_any():
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if chunk:
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decoded_chunk = chunk.decode()
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cleaned_chunk = re.sub(r'\$@\$.+?\$@\$|\$@\$', '', decoded_chunk)
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buffer += cleaned_chunk
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# Check if there's a complete image line in the buffer
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image_match = re.search(r'!\[Generated Image\]\((https?://[^\s\)]+)\)', buffer)
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if image_match:
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image_url = image_match.group(1)
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# Download the image and convert to base64 URL
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image_base64_url = await cls.download_image_to_base64_url(image_url)
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# Remove the image line from the buffer
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buffer = re.sub(r'!\[Generated Image\]\(https?://[^\s\)]+\)', '', buffer)
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# Send text line by line
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lines = buffer.split('\n')
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for line in lines[:-1]:
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if line.strip():
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full_response += line + '\n'
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yield line + '\n'
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buffer = lines[-1] # Keep the last incomplete line in the buffer
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# Send the remaining buffer if it's not empty
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if buffer.strip():
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full_response += buffer
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yield buffer
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# If an image was found, send it as ImageResponse
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if image_base64_url:
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alt_text = "Generated Image"
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image_response = ImageResponse(image_base64_url, alt=alt_text)
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yield image_response
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if model == 'ImageGenerationLV45LJp':
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response_text = await response.text()
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url_match = re.search(r'https://storage\.googleapis\.com/[^\s\)]+', response_text)
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if url_match:
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image_url = url_match.group(0)
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yield ImageResponse(image_url, alt=messages[-1]['content'])
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else:
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raise Exception("Image URL not found in the response")
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else:
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async for chunk in response.content:
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if chunk:
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decoded_chunk = chunk.decode()
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if decoded_chunk.startswith('$@$v=undefined-rv1$@$'):
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decoded_chunk = decoded_chunk[len('$@$v=undefined-rv1$@$'):]
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yield decoded_chunk
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