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-rw-r--r--g4f/Provider/DuckDuckGo.py85
-rw-r--r--g4f/Provider/__init__.py1
-rw-r--r--g4f/models.py4
3 files changed, 1 insertions, 89 deletions
diff --git a/g4f/Provider/DuckDuckGo.py b/g4f/Provider/DuckDuckGo.py
deleted file mode 100644
index 9379660b..00000000
--- a/g4f/Provider/DuckDuckGo.py
+++ /dev/null
@@ -1,85 +0,0 @@
-from __future__ import annotations
-
-import json
-import aiohttp
-
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import get_connector
-from ..typing import AsyncResult, Messages
-from ..requests.raise_for_status import raise_for_status
-from ..providers.conversation import BaseConversation
-
-class DuckDuckGo(AsyncGeneratorProvider, ProviderModelMixin):
- url = "https://duckduckgo.com/duckchat"
- working = True
- supports_gpt_35_turbo = True
- supports_message_history = True
-
- default_model = "gpt-3.5-turbo-0125"
- models = ["gpt-3.5-turbo-0125", "claude-3-haiku-20240307"]
- model_aliases = {
- "gpt-3.5-turbo": "gpt-3.5-turbo-0125",
- "claude-3-haiku": "claude-3-haiku-20240307"
- }
-
- status_url = "https://duckduckgo.com/duckchat/v1/status"
- chat_url = "https://duckduckgo.com/duckchat/v1/chat"
- user_agent = 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:123.0) Gecko/20100101 Firefox/123.0'
- headers = {
- 'User-Agent': user_agent,
- 'Accept': 'text/event-stream',
- 'Accept-Language': 'de,en-US;q=0.7,en;q=0.3',
- 'Accept-Encoding': 'gzip, deflate, br',
- 'Referer': 'https://duckduckgo.com/',
- 'Content-Type': 'application/json',
- 'Origin': 'https://duckduckgo.com',
- 'Connection': 'keep-alive',
- 'Cookie': 'dcm=1',
- 'Sec-Fetch-Dest': 'empty',
- 'Sec-Fetch-Mode': 'cors',
- 'Sec-Fetch-Site': 'same-origin',
- 'Pragma': 'no-cache',
- 'TE': 'trailers'
- }
-
- @classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- connector: aiohttp.BaseConnector = None,
- conversation: Conversation = None,
- return_conversation: bool = False,
- **kwargs
- ) -> AsyncResult:
- async with aiohttp.ClientSession(headers=cls.headers, connector=get_connector(connector, proxy)) as session:
- if conversation is not None and len(messages) > 1:
- vqd_4 = conversation.vqd_4
- messages = [*conversation.messages, messages[-2], messages[-1]]
- else:
- async with session.get(cls.status_url, headers={"x-vqd-accept": "1"}) as response:
- await raise_for_status(response)
- vqd_4 = response.headers.get("x-vqd-4")
- messages = [messages[-1]]
- payload = {
- 'model': cls.get_model(model),
- 'messages': messages
- }
- async with session.post(cls.chat_url, json=payload, headers={"x-vqd-4": vqd_4}) as response:
- await raise_for_status(response)
- if return_conversation:
- yield Conversation(response.headers.get("x-vqd-4"), messages)
- async for line in response.content:
- if line.startswith(b"data: "):
- chunk = line[6:]
- if chunk.startswith(b"[DONE]"):
- break
- data = json.loads(chunk)
- if "message" in data and data["message"]:
- yield data["message"]
-
-class Conversation(BaseConversation):
- def __init__(self, vqd_4: str, messages: Messages) -> None:
- self.vqd_4 = vqd_4
- self.messages = messages \ No newline at end of file
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 3aeabaaf..1c387087 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -25,7 +25,6 @@ from .Cnote import Cnote
from .Cohere import Cohere
from .DeepInfra import DeepInfra
from .DeepInfraImage import DeepInfraImage
-from .DuckDuckGo import DuckDuckGo
from .Feedough import Feedough
from .FlowGpt import FlowGpt
from .FreeChatgpt import FreeChatgpt
diff --git a/g4f/models.py b/g4f/models.py
index d031797e..78e1d74e 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -11,7 +11,6 @@ from .Provider import (
ChatgptNext,
Cnote,
DeepInfra,
- DuckDuckGo,
Feedough,
FreeGpt,
Gemini,
@@ -71,7 +70,6 @@ gpt_35_long = Model(
ChatgptNext,
OpenaiChat,
Koala,
- DuckDuckGo,
])
)
@@ -196,7 +194,7 @@ claude_3_sonnet = Model(
claude_3_haiku = Model(
name = 'claude-3-haiku',
base_provider = 'anthropic',
- best_provider = DuckDuckGo
+ best_provider = None
)
gpt_35_turbo_16k = Model(