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authorHeiner Lohaus <hlohaus@users.noreply.github.com>2024-01-23 19:44:48 +0100
committerHeiner Lohaus <hlohaus@users.noreply.github.com>2024-01-23 19:44:48 +0100
commit91feb34054f529c37e10d98d2471c8c0c6780147 (patch)
tree8708fc00fe39d8756a16f14b10b4f4fc29eb4877 /g4f/Provider/HuggingChat.py
parentUpload transparency image (diff)
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Diffstat (limited to 'g4f/Provider/HuggingChat.py')
-rw-r--r--g4f/Provider/HuggingChat.py14
1 files changed, 4 insertions, 10 deletions
diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py
index 3b4a520c..d493da8f 100644
--- a/g4f/Provider/HuggingChat.py
+++ b/g4f/Provider/HuggingChat.py
@@ -5,11 +5,11 @@ import json, uuid
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import format_prompt, get_cookies
-class HuggingChat(AsyncGeneratorProvider):
+class HuggingChat(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://huggingface.co/chat"
working = True
default_model = "meta-llama/Llama-2-70b-chat-hf"
@@ -21,7 +21,7 @@ class HuggingChat(AsyncGeneratorProvider):
"mistralai/Mistral-7B-Instruct-v0.2",
"openchat/openchat-3.5-0106"
]
- model_map = {
+ model_aliases = {
"openchat/openchat_3.5": "openchat/openchat-3.5-1210",
"mistralai/Mixtral-8x7B-Instruct-v0.1": "mistralai/Mistral-7B-Instruct-v0.2"
}
@@ -37,12 +37,6 @@ class HuggingChat(AsyncGeneratorProvider):
cookies: dict = None,
**kwargs
) -> AsyncResult:
- if not model:
- model = cls.default_model
- elif model in cls.model_map:
- model = cls.model_map[model]
- elif model not in cls.models:
- raise ValueError(f"Model is not supported: {model}")
if not cookies:
cookies = get_cookies(".huggingface.co")
@@ -53,7 +47,7 @@ class HuggingChat(AsyncGeneratorProvider):
cookies=cookies,
headers=headers
) as session:
- async with session.post(f"{cls.url}/conversation", json={"model": model}, proxy=proxy) as response:
+ async with session.post(f"{cls.url}/conversation", json={"model": cls.get_model(model)}, proxy=proxy) as response:
conversation_id = (await response.json())["conversationId"]
send = {