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authorHeiner Lohaus <hlohaus@users.noreply.github.com>2024-11-18 15:41:45 +0100
committerHeiner Lohaus <hlohaus@users.noreply.github.com>2024-11-18 15:41:45 +0100
commitf1ef23285ae6e63d5fb28f5e271fec0e40ad65f2 (patch)
tree78134cfed60c8facbcccf200e3cbdb65fba35d85 /g4f/Provider/Blackbox.py
parentUpdate Blackbox.py (diff)
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Diffstat (limited to 'g4f/Provider/Blackbox.py')
-rw-r--r--g4f/Provider/Blackbox.py65
1 files changed, 30 insertions, 35 deletions
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py
index 75abb183..97466c04 100644
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -10,6 +10,7 @@ import aiohttp
from ..typing import AsyncResult, Messages, ImageType
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..image import ImageResponse, to_data_uri
+from .helper import get_random_string
class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
label = "Blackbox AI"
@@ -22,11 +23,13 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
_last_validated_value = None
default_model = 'blackboxai'
+ default_vision_model = default_model
default_image_model = 'generate_image'
image_models = [default_image_model, 'repomap']
text_models = [default_model, 'gpt-4o', 'gemini-pro', 'claude-sonnet-3.5', 'blackboxai-pro']
+ vision_models = [default_model, 'gpt-4o', 'gemini-pro', 'blackboxai-pro']
agentMode = {
- 'Image Generation': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
+ default_image_model: {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
}
trendingAgentMode = {
"gemini-1.5-flash": {'mode': True, 'id': 'Gemini'},
@@ -111,11 +114,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
return cls._last_validated_value
- @staticmethod
- def generate_id(length=7):
- characters = string.ascii_letters + string.digits
- return ''.join(random.choice(characters) for _ in range(length))
-
@classmethod
def add_prefix_to_messages(cls, messages: Messages, model: str) -> Messages:
prefix = cls.model_prefixes.get(model, "")
@@ -143,12 +141,12 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
- message_id = cls.generate_id()
- messages_with_prefix = cls.add_prefix_to_messages(messages, model)
+ message_id = get_random_string(7)
+ messages = cls.add_prefix_to_messages(messages, model)
validated_value = await cls.fetch_validated()
if image is not None:
- messages_with_prefix[-1]['data'] = {
+ messages[-1]['data'] = {
'fileText': '',
'imageBase64': to_data_uri(image),
'title': image_name
@@ -171,9 +169,9 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36'
}
-
+
data = {
- "messages": messages_with_prefix,
+ "messages": messages,
"id": message_id,
"previewToken": None,
"userId": None,
@@ -200,27 +198,24 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
async with ClientSession(headers=headers) as session:
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
- response_text = await response.text()
-
- if model in cls.image_models:
- image_matches = re.findall(r'!\[.*?\]\((https?://[^\)]+)\)', response_text)
- if image_matches:
- image_url = image_matches[0]
- image_response = ImageResponse(images=[image_url], alt="Generated Image")
- yield image_response
- return
-
- response_text = re.sub(r'Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai', '', response_text, flags=re.DOTALL)
-
- json_match = re.search(r'\$~~~\$(.*?)\$~~~\$', response_text, re.DOTALL)
- if json_match:
- search_results = json.loads(json_match.group(1))
- answer = response_text.split('$~~~$')[-1].strip()
-
- formatted_response = f"{answer}\n\n**Source:**"
- for i, result in enumerate(search_results, 1):
- formatted_response += f"\n{i}. {result['title']}: {result['link']}"
-
- yield formatted_response
- else:
- yield response_text.strip()
+ async for chunk in response.content.iter_any():
+ text_chunk = chunk.decode(errors="ignore")
+ if model in cls.image_models:
+ image_matches = re.findall(r'!\[.*?\]\((https?://[^\)]+)\)', text_chunk)
+ if image_matches:
+ image_url = image_matches[0]
+ image_response = ImageResponse(images=[image_url])
+ yield image_response
+ continue
+
+ text_chunk = re.sub(r'Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai', '', text_chunk, flags=re.DOTALL)
+ json_match = re.search(r'\$~~~\$(.*?)\$~~~\$', text_chunk, re.DOTALL)
+ if json_match:
+ search_results = json.loads(json_match.group(1))
+ answer = text_chunk.split('$~~~$')[-1].strip()
+ formatted_response = f"{answer}\n\n**Source:**"
+ for i, result in enumerate(search_results, 1):
+ formatted_response += f"\n{i}. {result['title']}: {result['link']}"
+ yield formatted_response
+ else:
+ yield text_chunk.strip()