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authorHeiner Lohaus <hlohaus@users.noreply.github.com>2024-03-11 02:41:59 +0100
committerHeiner Lohaus <hlohaus@users.noreply.github.com>2024-03-11 02:41:59 +0100
commitec51e9c76433b9e9498ade1dbe5de2268ad84218 (patch)
tree2876e373144f025949477601e89b8d478a49fafc /g4f/Provider/HuggingFace.py
parentAdd word count from iG8R (diff)
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Diffstat (limited to 'g4f/Provider/HuggingFace.py')
-rw-r--r--g4f/Provider/HuggingFace.py75
1 files changed, 75 insertions, 0 deletions
diff --git a/g4f/Provider/HuggingFace.py b/g4f/Provider/HuggingFace.py
new file mode 100644
index 00000000..a73411ce
--- /dev/null
+++ b/g4f/Provider/HuggingFace.py
@@ -0,0 +1,75 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession, BaseConnector
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import get_connector
+from ..errors import RateLimitError, ModelNotFoundError
+
+class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
+ url = "https://huggingface.co/chat"
+ working = True
+ supports_message_history = True
+ default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ stream: bool = True,
+ proxy: str = None,
+ connector: BaseConnector = 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 = {}
+ 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 ClientSession(
+ headers=headers,
+ connector=get_connector(connector, proxy)
+ ) as session:
+ async with session.post(f"{api_base.rstrip('/')}/models/{model}", json=payload) as response:
+ if response.status == 429:
+ raise RateLimitError("Rate limit reached. Set a api_key")
+ elif response.status == 404:
+ raise ModelNotFoundError(f"Model is not supported: {model}")
+ elif response.status != 200:
+ raise RuntimeError(f"Response {response.status}: {await response.text()}")
+ if stream:
+ first = True
+ async for line in response.content:
+ 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()
+ 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}</s>"
+ for idx, message in enumerate(messages)
+ if message["role"] == "assistant"
+ ])
+ return f"{history}<s>[INST] {question} [/INST]" \ No newline at end of file