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Diffstat (limited to '')
| -rw-r--r-- | g4f/Provider/GizAI.py | 151 |
1 files changed, 151 insertions, 0 deletions
diff --git a/g4f/Provider/GizAI.py b/g4f/Provider/GizAI.py new file mode 100644 index 00000000..127edc9e --- /dev/null +++ b/g4f/Provider/GizAI.py @@ -0,0 +1,151 @@ +from __future__ import annotations + +import json +from aiohttp import ClientSession + +from ..typing import AsyncResult, Messages +from ..image import ImageResponse +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from .helper import format_prompt + +class GizAI(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://app.giz.ai/assistant/" + api_endpoint = "https://app.giz.ai/api/data/users/inferenceServer.infer" + working = True + + supports_system_message = True + supports_message_history = True + + # Chat models + default_model = 'chat-gemini-flash' + chat_models = [ + default_model, + 'chat-gemini-pro', + 'chat-gpt4m', + 'chat-gpt4', + 'claude-sonnet', + 'claude-haiku', + 'llama-3-70b', + 'llama-3-8b', + 'mistral-large', + 'chat-o1-mini' + ] + + # Image models + image_models = [ + 'flux1', + 'sdxl', + 'sd', + 'sd35', + ] + + models = [*chat_models, *image_models] + + model_aliases = { + # Chat model aliases + "gemini-flash": "chat-gemini-flash", + "gemini-pro": "chat-gemini-pro", + "gpt-4o-mini": "chat-gpt4m", + "gpt-4o": "chat-gpt4", + "claude-3.5-sonnet": "claude-sonnet", + "claude-3-haiku": "claude-haiku", + "llama-3.1-70b": "llama-3-70b", + "llama-3.1-8b": "llama-3-8b", + "o1-mini": "chat-o1-mini", + # Image model aliases + "sd-1.5": "sd", + "sd-3.5": "sd35", + "flux-schnell": "flux1", + } + + @classmethod + def get_model(cls, model: str) -> str: + if model in cls.models: + return model + elif model in cls.model_aliases: + return cls.model_aliases[model] + else: + return cls.default_model + + @classmethod + def is_image_model(cls, model: str) -> bool: + return model in cls.image_models + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + **kwargs + ) -> AsyncResult: + model = cls.get_model(model) + + headers = { + 'Accept': 'application/json, text/plain, */*', + 'Accept-Language': 'en-US,en;q=0.9', + 'Cache-Control': 'no-cache', + 'Connection': 'keep-alive', + 'Content-Type': 'application/json', + 'Origin': 'https://app.giz.ai', + 'Pragma': 'no-cache', + '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/130.0.0.0 Safari/537.36', + 'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"', + 'sec-ch-ua-mobile': '?0', + 'sec-ch-ua-platform': '"Linux"' + } + + async with ClientSession() as session: + if cls.is_image_model(model): + # Image generation + prompt = messages[-1]["content"] + data = { + "model": model, + "input": { + "width": "1024", + "height": "1024", + "steps": 4, + "output_format": "webp", + "batch_size": 1, + "mode": "plan", + "prompt": prompt + } + } + async with session.post( + cls.api_endpoint, + headers=headers, + data=json.dumps(data), + proxy=proxy + ) as response: + response.raise_for_status() + response_data = await response.json() + if response_data.get('status') == 'completed' and response_data.get('output'): + for url in response_data['output']: + yield ImageResponse(images=url, alt="Generated Image") + else: + # Chat completion + data = { + "model": model, + "input": { + "messages": [ + { + "type": "human", + "content": format_prompt(messages) + } + ], + "mode": "plan" + }, + "noStream": True + } + async with session.post( + cls.api_endpoint, + headers=headers, + data=json.dumps(data), + proxy=proxy + ) as response: + response.raise_for_status() + result = await response.json() + yield result.get('output', '') |