From e98793d0a7af43878cf023fb045dd945a82507cf Mon Sep 17 00:00:00 2001
From: kqlio67 <kqlio67@users.noreply.github.com>
Date: Wed, 6 Nov 2024 17:25:09 +0200
Subject: Update (g4f/models.py g4f/Provider/ docs/providers-and-models.md)

---
 g4f/Provider/FlowGpt.py | 101 ------------------------------------------------
 1 file changed, 101 deletions(-)
 delete mode 100644 g4f/Provider/FlowGpt.py

(limited to 'g4f/Provider/FlowGpt.py')

diff --git a/g4f/Provider/FlowGpt.py b/g4f/Provider/FlowGpt.py
deleted file mode 100644
index 1a45997b..00000000
--- a/g4f/Provider/FlowGpt.py
+++ /dev/null
@@ -1,101 +0,0 @@
-from __future__ import annotations
-
-import json
-import time
-import hashlib
-from aiohttp import ClientSession
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import get_random_hex, get_random_string
-from ..requests.raise_for_status import raise_for_status
-
-class FlowGpt(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://flowgpt.com/chat"
-    working = False
-    supports_message_history = True
-    supports_system_message = True
-    default_model = "gpt-3.5-turbo"
-    models = [
-        "gpt-3.5-turbo",
-        "gpt-3.5-long",
-        "gpt-4-turbo",
-        "google-gemini",
-        "claude-instant",
-        "claude-v1",
-        "claude-v2",
-        "llama2-13b",
-        "mythalion-13b",
-        "pygmalion-13b",
-        "chronos-hermes-13b",
-        "Mixtral-8x7B",
-        "Dolphin-2.6-8x7B",
-    ]
-    model_aliases = {
-        "gemini": "google-gemini",
-        "gemini-pro": "google-gemini"
-    }
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        temperature: float = 0.7,
-        **kwargs
-    ) -> AsyncResult:
-        model = cls.get_model(model)
-        timestamp = str(int(time.time()))
-        auth = "Bearer null"
-        nonce = get_random_hex()
-        data = f"{timestamp}-{nonce}-{auth}"
-        signature = hashlib.md5(data.encode()).hexdigest()
-
-        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",
-            "Authorization": auth,
-            "x-flow-device-id": f"f-{get_random_string(19)}",
-            "x-nonce": nonce,
-            "x-signature": signature,
-            "x-timestamp": timestamp
-        }
-        async with ClientSession(headers=headers) as session:
-            history = [message for message in messages[:-1] if message["role"] != "system"]
-            system_message = "\n".join([message["content"] for message in messages if message["role"] == "system"])
-            if not system_message:
-                system_message = "You are helpful assistant. Follow the user's instructions carefully."
-            data = {
-                "model": model,
-                "nsfw": False,
-                "question": messages[-1]["content"],
-                "history": [{"role": "assistant", "content": "Hello, how can I help you today?"}, *history],
-                "system": system_message,
-                "temperature": temperature,
-                "promptId": f"model-{model}",
-                "documentIds": [],
-                "chatFileDocumentIds": [],
-                "generateImage": False,
-                "generateAudio": False
-            }
-            async with session.post("https://prod-backend-k8s.flowgpt.com/v3/chat-anonymous", json=data, proxy=proxy) as response:
-                await raise_for_status(response)
-                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"]
-- 
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