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b198d900aa
* refactor(g4f/Provider/Airforce.py): Enhance Airforce provider with dynamic model fetching * refactor(g4f/Provider/Blackbox.py): Enhance Blackbox AI provider configuration and streamline code * feat(g4f/Provider/RobocodersAPI.py): Add RobocodersAPI new async chat provider * refactor(g4f/client/__init__.py): Improve provider handling in async_generate method * refactor(g4f/models.py): Update provider configurations for multiple models * refactor(g4f/Provider/Blackbox.py): Streamline model configuration and improve response handling * feat(g4f/Provider/DDG.py): Enhance model support and improve conversation handling * refactor(g4f/Provider/Copilot.py): Enhance Copilot provider with model support * refactor(g4f/Provider/AmigoChat.py): update models and improve code structure * chore(g4f/Provider/not_working/AIUncensored.): move AIUncensored to not_working directory * chore(g4f/Provider/not_working/Allyfy.py): remove Allyfy provider * Update (g4f/Provider/not_working/AIUncensored.py g4f/Provider/not_working/__init__.py) * refactor(g4f/Provider/ChatGptEs.py): Implement format_prompt for message handling * refactor(g4f/Provider/Blackbox.py): Update message formatting and improve code structure * refactor(g4f/Provider/LLMPlayground.py): Enhance text generation and error handling * refactor(g4f/Provider/needs_auth/PollinationsAI.py): move PollinationsAI to needs_auth directory * refactor(g4f/Provider/Liaobots.py): Update Liaobots provider models and aliases * feat(g4f/Provider/DeepInfraChat.py): Add new DeepInfra models and aliases * Update (g4f/Provider/__init__.py) * Update (g4f/models.py) * g4f/models.py * Update g4f/models.py * Update g4f/Provider/LLMPlayground.py * Update (g4f/models.py g4f/Provider/Airforce.py g4f/Provider/__init__.py g4f/Provider/LLMPlayground.py) * Update g4f/Provider/__init__.py * refactor(g4f/Provider/Airforce.py): Enhance text generation with retry and timeout * Update g4f/Provider/AmigoChat.py g4f/Provider/__init__.py * refactor(g4f/Provider/Blackbox.py): update model prefixes and image handling Fixes #2445 - Update model prefixes for gpt-4o, gemini-pro, and claude-sonnet-3.5 - Add 'gpt-3.5-turbo' alias for 'blackboxai' model - Modify image handling in create_async_generator method - Add 'imageGenerationMode' and 'webSearchModePrompt' flags to API request - Remove redundant 'imageBase64' field from image data structure * New provider (g4f/Provider/Blackbox2.py) Support for model llama-3.1-70b text generation * docs(docs/async_client.md): update AsyncClient API guide with minor improvements - Improve formatting and readability of code examples - Add line breaks for better visual separation of sections - Fix minor typos and inconsistencies in text - Enhance clarity of explanations in various sections - Remove unnecessary whitespace * feat(docs/client.md): add response_format parameter - Add 'response_format' parameter to image generation examples - Specify 'url' format for standard image generation - Include 'b64_json' format for base64 encoded image response - Update documentation to reflect new parameter usage - Improve code examples for clarity and consistency * docs(README.md): update usage examples and add image generation - Update text generation example to use new Client API - Add image generation example with Client API - Update configuration section with new cookie setting instructions - Add response_format parameter to image generation example - Remove outdated information and reorganize sections - Update contributors list * refactor(g4f/client/__init__.py): optimize image processing and response handling - Modify _process_image_response to handle 'url' format without local saving - Update ImagesResponse construction to include 'created' timestamp - Simplify image processing logic for different response formats - Improve error handling and logging for image generation - Enhance type hints and docstrings for better code clarity * feat(g4f/models.py): update model providers and add new models - Add Blackbox2 to Provider imports - Update gpt-3.5-turbo best provider to Blackbox - Add Blackbox2 to llama-3.1-70b best providers - Rename dalle_3 to dall_e_3 and update its best providers - Add new models: solar_mini, openhermes_2_5, lfm_40b, zephyr_7b, neural_7b, mythomax_13b - Update ModelUtils.convert with new models and changes - Remove duplicate 'dalle-3' entry in ModelUtils.convert * refactor(Airforce): improve API handling and add authentication - Implement API key authentication with check_api_key method - Refactor image generation to use new imagine2 endpoint - Improve text generation with better error handling and streaming - Update model aliases and add new image models - Enhance content filtering for various model outputs - Replace StreamSession with aiohttp's ClientSession for async operations - Simplify model fetching logic and remove redundant code - Add is_image_model method for better model type checking - Update class attributes for better organization and clarity * feat(g4f/Provider/HuggingChat.py): update HuggingChat model list and aliases Request by @TheFirstNoob - Add 'Qwen/Qwen2.5-72B-Instruct' as the first model in the list - Update model aliases to include 'qwen-2.5-72b' - Reorder existing models in the list for consistency - Remove duplicate entry for 'Qwen/Qwen2.5-72B-Instruct' in models list * refactor(g4f/Provider/ReplicateHome.py): remove unused text models Request by @TheFirstNoob - Removed the 'meta/meta-llama-3-70b-instruct' and 'mistralai/mixtral-8x7b-instruct-v0.1' text models from the list - Updated the list to only include the remaining text and image models - This change simplifies the model configuration and reduces the number of available models, focusing on the core text and image models provided by Replicate * refactor(g4f/Provider/HuggingChat.py): Move HuggingChat to needs_auth directory Request by @TheFirstNoob * Update (g4f/Provider/needs_auth/HuggingChat.py) * Update g4f/models.py * Update g4f/Provider/Airforce.py * Update g4f/models.py g4f/Provider/needs_auth/HuggingChat.py * Added 'Airforce' provider to the 'o1-mini' model (g4f/models.py) * Update (g4f/Provider/Airforce.py g4f/Provider/AmigoChat.py) * Update g4f/models.py g4f/Provider/DeepInfraChat.py g4f/Provider/Airforce.py * Update g4f/Provider/DeepInfraChat.py * Update (g4f/Provider/DeepInfraChat.py) * Update g4f/Provider/Blackbox.py * Update (docs/client.md docs/async_client.md g4f/client/__init__.py) * Update (docs/async_client.md docs/client.md) * Update (g4f/client/__init__.py) --------- Co-authored-by: kqlio67 <kqlio67@users.noreply.github.com> Co-authored-by: kqlio67 <> Co-authored-by: H Lohaus <hlohaus@users.noreply.github.com>
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
from __future__ import annotations
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from ..providers.types import BaseProvider, ProviderType
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from ..providers.retry_provider import RetryProvider, IterListProvider
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from ..providers.base_provider import AsyncProvider, AsyncGeneratorProvider
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from ..providers.create_images import CreateImagesProvider
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from .deprecated import *
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from .selenium import *
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from .needs_auth import *
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from .not_working import *
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from .local import *
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from .Airforce import Airforce
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from .AmigoChat import AmigoChat
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from .Blackbox import Blackbox
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from .Blackbox2 import Blackbox2
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from .ChatGpt import ChatGpt
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from .ChatGptEs import ChatGptEs
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from .Cloudflare import Cloudflare
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from .Copilot import Copilot
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from .DarkAI import DarkAI
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from .DDG import DDG
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from .DeepInfraChat import DeepInfraChat
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from .Free2GPT import Free2GPT
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from .FreeGpt import FreeGpt
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from .GizAI import GizAI
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from .Liaobots import Liaobots
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from .MagickPen import MagickPen
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from .PerplexityLabs import PerplexityLabs
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from .Pi import Pi
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from .Pizzagpt import Pizzagpt
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from .Prodia import Prodia
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from .Reka import Reka
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from .ReplicateHome import ReplicateHome
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from .RobocodersAPI import RobocodersAPI
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from .RubiksAI import RubiksAI
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from .TeachAnything import TeachAnything
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from .Upstage import Upstage
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from .You import You
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from .Mhystical import Mhystical
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import sys
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__modules__: list = [
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getattr(sys.modules[__name__], provider) for provider in dir()
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if not provider.startswith("__")
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]
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__providers__: list[ProviderType] = [
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provider for provider in __modules__
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if isinstance(provider, type)
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and issubclass(provider, BaseProvider)
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]
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__all__: list[str] = [
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provider.__name__ for provider in __providers__
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]
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__map__: dict[str, ProviderType] = dict([
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(provider.__name__, provider) for provider in __providers__
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])
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class ProviderUtils:
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convert: dict[str, ProviderType] = __map__
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