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-rw-r--r--g4f/Provider/FlowGpt.py75
1 files changed, 75 insertions, 0 deletions
diff --git a/g4f/Provider/FlowGpt.py b/g4f/Provider/FlowGpt.py
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+++ b/g4f/Provider/FlowGpt.py
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+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+
+class FlowGpt(AsyncGeneratorProvider, ProviderModelMixin):
+ url = "https://flowgpt.com/chat"
+ working = True
+ supports_gpt_35_turbo = True
+ supports_gpt_4 = True
+ supports_message_history = True
+ default_model = "gpt-3.5-turbo"
+ models = [
+ "gpt-4",
+ "gpt-3.5-turbo",
+ "gpt-3.5-long",
+ "google-gemini",
+ "claude-v2",
+ "llama2-13b"
+ ]
+ model_aliases = {
+ "gemini": "google-gemini",
+ "gemini-pro": "google-gemini"
+ }
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ model = cls.get_model(model)
+ headers = {
+ "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:122.0) Gecko/20100101 Firefox/122.0",
+ "Accept": "*/*",
+ "Accept-Language": "en-US;q=0.7,en;q=0.3",
+ "Accept-Encoding": "gzip, deflate, br",
+ "Referer": "https://flowgpt.com/",
+ "Content-Type": "application/json",
+ "Authorization": "Bearer null",
+ "Origin": "https://flowgpt.com",
+ "Connection": "keep-alive",
+ "Sec-Fetch-Dest": "empty",
+ "Sec-Fetch-Mode": "cors",
+ "Sec-Fetch-Site": "same-site",
+ "TE": "trailers"
+ }
+ async with ClientSession(headers=headers) as session:
+ data = {
+ "model": model,
+ "nsfw": False,
+ "question": messages[-1]["content"],
+ "history": [{"role": "assistant", "content": "Hello, how can I help you today?"}, *messages[:-1]],
+ "system": "You are helpful assitant. Follow the user's instructions carefully. Respond using markdown",
+ "temperature": kwargs.get("temperature", 0.7),
+ "promptId": f"model-{model}",
+ "documentIds": [],
+ "chatFileDocumentIds": [],
+ "generateImage": False,
+ "generateAudio": False
+ }
+ async with session.post("https://backend-k8s.flowgpt.com/v2/chat-anonymous", json=data, proxy=proxy) as response:
+ response.raise_for_status()
+ async for chunk in response.content:
+ if chunk.strip():
+ message = json.loads(chunk)
+ if "event" not in message:
+ continue
+ if message["event"] == "text":
+ yield message["data"] \ No newline at end of file