gpt4free/g4f/Provider/DeepInfraChat.py
kqlio67 a358b28f47
Major Provider Updates and Model Support Enhancements (#2467)
* refactor(g4f/Provider/Airforce.py): improve model handling and filtering

- Add hidden_models set to exclude specific models
- Add evil alias for uncensored model handling
- Extend filtering for model-specific response tokens
- Add response buffering for streamed content
- Update model fetching with error handling

* refactor(g4f/Provider/Blackbox.py): improve caching and model handling

- Add caching system for validated values with file-based storage
- Rename 'flux' model to 'ImageGeneration' and update references
- Add temperature, top_p and max_tokens parameters to generator
- Simplify HTTP headers and remove redundant options
- Add model alias mapping for ImageGeneration
- Add file system utilities for cache management

* feat(g4f/Provider/RobocodersAPI.py): add caching and error handling

- Add file-based caching system for access tokens and sessions
- Add robust error handling with specific error messages
- Add automatic dialog continuation on resource limits
- Add HTML parsing with BeautifulSoup for token extraction
- Add debug logging for error tracking
- Add timeout configuration for API requests

* refactor(g4f/Provider/DarkAI.py): update DarkAI default model and aliases

- Change default model from llama-3-405b to llama-3-70b
- Remove llama-3-405b from supported models list
- Remove llama-3.1-405b from model aliases

* feat(g4f/Provider/Blackbox2.py): add image generation support

- Add image model 'flux' with dedicated API endpoint
- Refactor generator to support both text and image outputs
- Extract headers into reusable static method
- Add type hints for AsyncGenerator return type
- Split generation logic into _generate_text and _generate_image methods
- Add ImageResponse handling for image generation results

BREAKING CHANGE: create_async_generator now returns AsyncGenerator instead of AsyncResult

* refactor(g4f/Provider/ChatGptEs.py): update ChatGptEs model configuration

- Update models list to include gpt-3.5-turbo
- Remove chatgpt-4o-latest from supported models
- Remove model_aliases mapping for gpt-4o

* feat(g4f/Provider/DeepInfraChat.py): add Accept-Language header support

- Add Accept-Language header for internationalization
- Maintain existing header configuration
- Improve request compatibility with language preferences

* refactor(g4f/Provider/needs_auth/Gemini.py): add ProviderModelMixin inheritance

- Add ProviderModelMixin to class inheritance
- Import ProviderModelMixin from base_provider
- Move BaseConversation import to base_provider imports

* refactor(g4f/Provider/Liaobots.py): update model details and aliases

- Add version suffix to o1 model IDs
- Update model aliases for o1-preview and o1-mini
- Standardize version format across model definitions

* refactor(g4f/Provider/PollinationsAI.py): enhance model support and generation

- Split generation logic into dedicated image/text methods
- Add additional text models including sur and claude
- Add width/height parameters for image generation
- Add model existence validation
- Add hasattr checks for model lists initialization

* chore(gitignore): add provider cache directory

- Add g4f/Provider/.cache to gitignore patterns

* refactor(g4f/Provider/ReplicateHome.py): update model configuration

- Update default model to gemma-2b-it
- Add default_image_model configuration
- Remove llava-13b from supported models
- Simplify request headers

* feat(g4f/models.py): expand provider and model support

- Add new providers DarkAI and PollinationsAI
- Add new models for Mistral, Flux and image generation
- Update provider lists for existing models
- Add P1 and Evil models with experimental providers

BREAKING CHANGE: Remove llava-13b model support

* refactor(Airforce): Update type hint for split_message return

- Change return type of  from  to  for consistency with import.
- Maintain overall functionality and structure of the  class.
- Ensure compatibility with type hinting standards in Python.

* refactor(g4f/Provider/Airforce.py): Update type hint for split_message return

- Change return type of 'split_message' from 'list[str]' to 'List[str]' for consistency with import.
- Maintain overall functionality and structure of the 'Airforce' class.
- Ensure compatibility with type hinting standards in Python.

* feat(g4f/Provider/RobocodersAPI.py): Add support for optional BeautifulSoup dependency

- Introduce a check for the BeautifulSoup library and handle its absence gracefully.
- Raise a  if BeautifulSoup is not installed, prompting the user to install it.
- Remove direct import of BeautifulSoup to avoid import errors when the library is missing.

---------

Co-authored-by: kqlio67 <>
2024-12-08 04:43:51 +01:00

81 lines
3.1 KiB
Python

from __future__ import annotations
from aiohttp import ClientSession, ClientResponseError
import json
from ..typing import AsyncResult, Messages, ImageType
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
class DeepInfraChat(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://deepinfra.com/chat"
api_endpoint = "https://api.deepinfra.com/v1/openai/chat/completions"
working = True
supports_stream = True
supports_system_message = True
supports_message_history = True
default_model = 'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo'
models = [
'meta-llama/Meta-Llama-3.1-8B-Instruct',
default_model,
'Qwen/QwQ-32B-Preview',
'microsoft/WizardLM-2-8x22B',
'Qwen/Qwen2.5-72B-Instruct',
'Qwen/Qwen2.5-Coder-32B-Instruct',
'nvidia/Llama-3.1-Nemotron-70B-Instruct',
]
model_aliases = {
"llama-3.1-8b": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
"qwq-32b": "Qwen/QwQ-32B-Preview",
"wizardlm-2-8x22b": "microsoft/WizardLM-2-8x22B",
"qwen-2-72b": "Qwen/Qwen2.5-72B-Instruct",
"qwen-2.5-coder-32b": "Qwen2.5-Coder-32B-Instruct",
"nemotron-70b": "nvidia/Llama-3.1-Nemotron-70B-Instruct",
}
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
'Accept-Language': 'en-US,en;q=0.9',
'Content-Type': 'application/json',
'Origin': 'https://deepinfra.com',
'Referer': 'https://deepinfra.com/',
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36',
'X-Deepinfra-Source': 'web-page',
'accept': 'text/event-stream',
}
data = {
'model': model,
'messages': messages,
'stream': True
}
async with ClientSession(headers=headers) as session:
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
async for line in response.content:
if line:
decoded_line = line.decode('utf-8').strip()
if decoded_line.startswith('data:'):
json_part = decoded_line[5:].strip()
if json_part == '[DONE]':
break
try:
data = json.loads(json_part)
choices = data.get('choices', [])
if choices:
delta = choices[0].get('delta', {})
content = delta.get('content', '')
if content:
yield content
except json.JSONDecodeError:
print(f"JSON decode error: {json_part}")