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authorHeiner Lohaus <heiner@lohaus.eu>2023-10-01 06:38:11 +0200
committerHeiner Lohaus <heiner@lohaus.eu>2023-10-01 06:38:11 +0200
commit98895e5b09ea5e3f19b2263ddca028c7b296abb2 (patch)
tree514883128a48dcd4d337a97d061f1fa5f1e1db4a /g4f/Provider/ChatForAi.py
parent~ | v-0.1.4.2 `pip install -U g4f` (diff)
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Diffstat (limited to 'g4f/Provider/ChatForAi.py')
-rw-r--r--g4f/Provider/ChatForAi.py62
1 files changed, 62 insertions, 0 deletions
diff --git a/g4f/Provider/ChatForAi.py b/g4f/Provider/ChatForAi.py
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+++ b/g4f/Provider/ChatForAi.py
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+from __future__ import annotations
+
+import time, hashlib
+
+from ..typing import AsyncGenerator
+from g4f.requests import AsyncSession
+from .base_provider import AsyncGeneratorProvider
+
+
+class ChatForAi(AsyncGeneratorProvider):
+ url = "https://chatforai.com"
+ supports_gpt_35_turbo = True
+ working = True
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: list[dict[str, str]],
+ **kwargs
+ ) -> AsyncGenerator:
+ async with AsyncSession(impersonate="chrome107") as session:
+ conversation_id = f"id_{int(time.time())}"
+ prompt = messages[-1]["content"]
+ timestamp = int(time.time())
+ data = {
+ "conversationId": conversation_id,
+ "conversationType": "chat_continuous",
+ "botId": "chat_continuous",
+ "globalSettings":{
+ "baseUrl": "https://api.openai.com",
+ "model": model if model else "gpt-3.5-turbo",
+ "messageHistorySize": 5,
+ "temperature": 0.7,
+ "top_p": 1,
+ **kwargs
+ },
+ "botSettings": {},
+ "prompt": prompt,
+ "messages": messages,
+ "sign": generate_signature(timestamp, conversation_id, prompt),
+ "timestamp": timestamp
+ }
+ async with session.post(f"{cls.url}/api/handle/provider-openai", json=data) as response:
+ response.raise_for_status()
+ async for chunk in response.content.iter_any():
+ yield chunk.decode()
+
+ @classmethod
+ @property
+ def params(cls):
+ params = [
+ ("model", "str"),
+ ("messages", "list[dict[str, str]]"),
+ ("stream", "bool"),
+ ]
+ param = ", ".join([": ".join(p) for p in params])
+ return f"g4f.provider.{cls.__name__} supports: ({param})"
+
+def generate_signature(timestamp, id, prompt):
+ data = f"{timestamp}:{id}:{prompt}:6B46K4pt"
+ return hashlib.sha256(data.encode()).hexdigest()