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refactor(ReplicateHome): update model handling and API interaction
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kqlio67
parent
5d28b04836
commit
d69372a962
2 changed files with 122 additions and 112 deletions
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@ -1,58 +1,60 @@
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from __future__ import annotations
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from typing import Generator, Optional, Dict, Any, Union, List
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import random
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import asyncio
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import base64
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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import json
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import asyncio
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from aiohttp import ClientSession, ContentTypeError
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from ..typing import AsyncResult, Messages
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from ..requests import StreamSession, raise_for_status
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from ..errors import ResponseError
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from .helper import format_prompt
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from ..image import ImageResponse
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class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://replicate.com"
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parent = "Replicate"
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api_endpoint = "https://homepage.replicate.com/api/prediction"
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working = True
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supports_stream = True
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supports_system_message = True
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supports_message_history = True
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default_model = 'meta/meta-llama-3-70b-instruct'
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text_models = {"meta/meta-llama-3-70b-instruct", "mistralai/mixtral-8x7b-instruct-v0.1", "google-deepmind/gemma-2b-it"}
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image_models = {"stability-ai/stable-diffusion-3", "bytedance/sdxl-lightning-4step", "playgroundai/playground-v2.5-1024px-aesthetic"}
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models = [
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*text_models,
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*image_models
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text_models = [
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'meta/meta-llama-3-70b-instruct',
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'mistralai/mixtral-8x7b-instruct-v0.1',
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'google-deepmind/gemma-2b-it',
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'yorickvp/llava-13b',
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]
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versions = {
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# Model versions for generating images
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'stability-ai/stable-diffusion-3': [
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"527d2a6296facb8e47ba1eaf17f142c240c19a30894f437feee9b91cc29d8e4f"
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],
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'bytedance/sdxl-lightning-4step': [
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"5f24084160c9089501c1b3545d9be3c27883ae2239b6f412990e82d4a6210f8f"
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],
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'playgroundai/playground-v2.5-1024px-aesthetic': [
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"a45f82a1382bed5c7aeb861dac7c7d191b0fdf74d8d57c4a0e6ed7d4d0bf7d24"
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],
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# Model versions for text generation
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'meta/meta-llama-3-70b-instruct': [
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"dp-cf04fe09351e25db628e8b6181276547"
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],
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'mistralai/mixtral-8x7b-instruct-v0.1': [
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"dp-89e00f489d498885048e94f9809fbc76"
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],
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'google-deepmind/gemma-2b-it': [
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"dff94eaf770e1fc211e425a50b51baa8e4cac6c39ef074681f9e39d778773626"
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]
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}
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image_models = [
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'black-forest-labs/flux-schnell',
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'stability-ai/stable-diffusion-3',
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'bytedance/sdxl-lightning-4step',
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'playgroundai/playground-v2.5-1024px-aesthetic',
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]
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models = text_models + image_models
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model_aliases = {
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"flux-schnell": "black-forest-labs/flux-schnell",
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"sd-3": "stability-ai/stable-diffusion-3",
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"sdxl": "bytedance/sdxl-lightning-4step",
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"playground-v2.5": "playgroundai/playground-v2.5-1024px-aesthetic",
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"llama-3-70b": "meta/meta-llama-3-70b-instruct",
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"mixtral-8x7b": "mistralai/mixtral-8x7b-instruct-v0.1",
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"gemma-2b": "google-deepmind/gemma-2b-it",
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"llava-13b": "yorickvp/llava-13b",
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}
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model_versions = {
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"meta/meta-llama-3-70b-instruct": "fbfb20b472b2f3bdd101412a9f70a0ed4fc0ced78a77ff00970ee7a2383c575d",
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"mistralai/mixtral-8x7b-instruct-v0.1": "5d78bcd7a992c4b793465bcdcf551dc2ab9668d12bb7aa714557a21c1e77041c",
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"google-deepmind/gemma-2b-it": "dff94eaf770e1fc211e425a50b51baa8e4cac6c39ef074681f9e39d778773626",
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"yorickvp/llava-13b": "80537f9eead1a5bfa72d5ac6ea6414379be41d4d4f6679fd776e9535d1eb58bb",
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'black-forest-labs/flux-schnell': "f2ab8a5bfe79f02f0789a146cf5e73d2a4ff2684a98c2b303d1e1ff3814271db",
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'stability-ai/stable-diffusion-3': "527d2a6296facb8e47ba1eaf17f142c240c19a30894f437feee9b91cc29d8e4f",
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'bytedance/sdxl-lightning-4step': "5f24084160c9089501c1b3545d9be3c27883ae2239b6f412990e82d4a6210f8f",
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'playgroundai/playground-v2.5-1024px-aesthetic': "a45f82a1382bed5c7aeb861dac7c7d191b0fdf74d8d57c4a0e6ed7d4d0bf7d24",
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}
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@classmethod
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@ -69,84 +71,73 @@ class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin):
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cls,
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model: str,
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messages: Messages,
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**kwargs: Any
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) -> Generator[Union[str, ImageResponse], None, None]:
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yield await cls.create_async(messages[-1]["content"], model, **kwargs)
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@classmethod
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async def create_async(
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cls,
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prompt: str,
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model: str,
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api_key: Optional[str] = None,
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proxy: Optional[str] = None,
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timeout: int = 180,
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version: Optional[str] = None,
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extra_data: Dict[str, Any] = {},
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**kwargs: Any
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) -> Union[str, ImageResponse]:
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model = cls.get_model(model) # Use the get_model method to resolve model name
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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model = cls.get_model(model)
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headers = {
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'Accept-Encoding': 'gzip, deflate, br',
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'Accept-Language': 'en-US',
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'Connection': 'keep-alive',
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'Origin': cls.url,
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'Referer': f'{cls.url}/',
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'Sec-Fetch-Dest': 'empty',
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'Sec-Fetch-Mode': 'cors',
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'Sec-Fetch-Site': 'same-site',
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
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'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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"accept": "*/*",
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"accept-language": "en-US,en;q=0.9",
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"cache-control": "no-cache",
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"content-type": "application/json",
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"origin": "https://replicate.com",
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"pragma": "no-cache",
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"priority": "u=1, i",
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"referer": "https://replicate.com/",
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"sec-ch-ua": '"Not;A=Brand";v="24", "Chromium";v="128"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"Linux"',
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-site",
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"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36"
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}
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if version is None:
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version = random.choice(cls.versions.get(model, []))
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if api_key is not None:
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headers["Authorization"] = f"Bearer {api_key}"
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async with StreamSession(
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proxies={"all": proxy},
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headers=headers,
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timeout=timeout
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) as session:
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data = {
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"input": {
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"prompt": prompt,
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**extra_data
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},
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"version": version
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}
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if api_key is None:
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data["model"] = model
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url = "https://homepage.replicate.com/api/prediction"
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async with ClientSession(headers=headers) as session:
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if model in cls.image_models:
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prompt = messages[-1]['content'] if messages else ""
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else:
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url = "https://api.replicate.com/v1/predictions"
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async with session.post(url, json=data) as response:
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await raise_for_status(response)
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prompt = format_prompt(messages)
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data = {
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"model": model,
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"version": cls.model_versions[model],
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"input": {"prompt": prompt},
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}
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async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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result = await response.json()
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if "id" not in result:
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raise ResponseError(f"Invalid response: {result}")
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prediction_id = result['id']
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poll_url = f"https://homepage.replicate.com/api/poll?id={prediction_id}"
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max_attempts = 30
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delay = 5
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for _ in range(max_attempts):
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async with session.get(poll_url, proxy=proxy) as response:
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response.raise_for_status()
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try:
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result = await response.json()
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except ContentTypeError:
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text = await response.text()
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try:
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result = json.loads(text)
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except json.JSONDecodeError:
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raise ValueError(f"Unexpected response format: {text}")
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while True:
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if api_key is None:
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url = f"https://homepage.replicate.com/api/poll?id={result['id']}"
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else:
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url = f"https://api.replicate.com/v1/predictions/{result['id']}"
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async with session.get(url) as response:
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await raise_for_status(response)
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result = await response.json()
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if "status" not in result:
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raise ResponseError(f"Invalid response: {result}")
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if result["status"] == "succeeded":
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output = result['output']
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if model in cls.text_models:
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return ''.join(output) if isinstance(output, list) else output
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elif model in cls.image_models:
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images: List[Any] = output
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images = images[0] if len(images) == 1 else images
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return ImageResponse(images, prompt)
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elif result["status"] == "failed":
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raise ResponseError(f"Prediction failed: {result}")
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await asyncio.sleep(0.5)
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if result['status'] == 'succeeded':
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if model in cls.image_models:
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image_url = result['output'][0]
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yield ImageResponse(image_url, "Generated image")
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return
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else:
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for chunk in result['output']:
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yield chunk
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break
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elif result['status'] == 'failed':
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raise Exception(f"Prediction failed: {result.get('error')}")
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await asyncio.sleep(delay)
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if result['status'] != 'succeeded':
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raise Exception("Prediction timed out")
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@ -489,6 +489,13 @@ sh_n_7b = Model(
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best_provider = Airforce
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)
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### Yorickvp ###
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llava_13b = Model(
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name = 'llava-13b',
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base_provider = 'Yorickvp',
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best_provider = ReplicateHome
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)
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#############
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### Image ###
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#############
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@ -559,6 +566,13 @@ flux_pixel = Model(
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)
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flux_schnell = Model(
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name = 'flux-schnell',
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base_provider = 'Flux AI',
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best_provider = IterListProvider([ReplicateHome])
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)
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### ###
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dalle = Model(
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name = 'dalle',
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@ -746,6 +760,10 @@ class ModelUtils:
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### Together ###
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'sh-n-7b': sh_n_7b,
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### Yorickvp ###
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'llava-13b': llava_13b,
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@ -769,6 +787,7 @@ class ModelUtils:
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'flux-3d': flux_3d,
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'flux-disney': flux_disney,
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'flux-pixel': flux_pixel,
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'flux-schnell': flux_schnell,
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### ###
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