gpt4free/g4f/Provider/needs_auth/HuggingFace.py
kqlio67 b198d900aa
update providers and documentation with image handling improvements (#2451)
* 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>
2024-12-05 01:07:59 +01:00

92 lines
3.6 KiB
Python

from __future__ import annotations
import json
from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ...errors import ModelNotFoundError
from ...requests import StreamSession, raise_for_status
from .HuggingChat import HuggingChat
class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://huggingface.co/chat"
working = True
needs_auth = True
supports_message_history = True
default_model = HuggingChat.default_model
models = HuggingChat.models
model_aliases = HuggingChat.model_aliases
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
stream: bool = True,
proxy: str = None,
api_base: str = "https://api-inference.huggingface.co",
api_key: str = None,
max_new_tokens: int = 1024,
temperature: float = 0.7,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
'accept': '*/*',
'accept-language': 'en',
'cache-control': 'no-cache',
'origin': 'https://huggingface.co',
'pragma': 'no-cache',
'priority': 'u=1, i',
'referer': 'https://huggingface.co/chat/',
'sec-ch-ua': '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36',
}
if api_key is not None:
headers["Authorization"] = f"Bearer {api_key}"
params = {
"return_full_text": False,
"max_new_tokens": max_new_tokens,
"temperature": temperature,
**kwargs
}
payload = {"inputs": format_prompt(messages), "parameters": params, "stream": stream}
async with StreamSession(
headers=headers,
proxy=proxy
) as session:
async with session.post(f"{api_base.rstrip('/')}/models/{model}", json=payload) as response:
if response.status == 404:
raise ModelNotFoundError(f"Model is not supported: {model}")
await raise_for_status(response)
if stream:
first = True
async for line in response.iter_lines():
if line.startswith(b"data:"):
data = json.loads(line[5:])
if not data["token"]["special"]:
chunk = data["token"]["text"]
if first:
first = False
chunk = chunk.lstrip()
if chunk:
yield chunk
else:
yield (await response.json())[0]["generated_text"].strip()
def format_prompt(messages: Messages) -> str:
system_messages = [message["content"] for message in messages if message["role"] == "system"]
question = " ".join([messages[-1]["content"], *system_messages])
history = "".join([
f"<s>[INST]{messages[idx-1]['content']} [/INST] {message['content']}</s>"
for idx, message in enumerate(messages)
if message["role"] == "assistant"
])
return f"{history}<s>[INST] {question} [/INST]"