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author | H Lohaus <hlohaus@users.noreply.github.com> | 2024-11-18 19:21:08 +0100 |
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committer | GitHub <noreply@github.com> | 2024-11-18 19:21:08 +0100 |
commit | b93711529e2b32aaac589814d77863b74373ffe4 (patch) | |
tree | 447a5232ae89c2775608c237330f3aa0ecc379a7 /g4f/Provider/Blackbox.py | |
parent | Update Blackbox.py (diff) | |
parent | Update unittests (diff) | |
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Diffstat (limited to 'g4f/Provider/Blackbox.py')
-rw-r--r-- | g4f/Provider/Blackbox.py | 65 |
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() |