From 6a61cf811655fa87dbcb196025cc0b6040502293 Mon Sep 17 00:00:00 2001
From: Heiner Lohaus <heiner@lohaus.eu>
Date: Wed, 4 Oct 2023 07:20:51 +0200
Subject: Sort providers in new dirs

---
 g4f/Provider/Lockchat.py | 64 ------------------------------------------------
 1 file changed, 64 deletions(-)
 delete mode 100644 g4f/Provider/Lockchat.py

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

diff --git a/g4f/Provider/Lockchat.py b/g4f/Provider/Lockchat.py
deleted file mode 100644
index c15eec8d..00000000
--- a/g4f/Provider/Lockchat.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from __future__ import annotations
-
-import json
-
-import requests
-
-from ..typing import Any, CreateResult
-from .base_provider import BaseProvider
-
-
-class Lockchat(BaseProvider):
-    url: str              = "http://supertest.lockchat.app"
-    supports_stream       = True
-    supports_gpt_35_turbo = True
-    supports_gpt_4        = True
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-
-        temperature = float(kwargs.get("temperature", 0.7))
-        payload = {
-            "temperature": temperature,
-            "messages"   : messages,
-            "model"      : model,
-            "stream"     : True,
-        }
-
-        headers = {
-            "user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0",
-        }
-        response = requests.post("http://supertest.lockchat.app/v1/chat/completions",
-                                 json=payload, headers=headers, stream=True)
-        
-        response.raise_for_status()
-        for token in response.iter_lines():
-            if b"The model: `gpt-4` does not exist" in token:
-                print("error, retrying...")
-                Lockchat.create_completion(
-                    model       = model,
-                    messages    = messages,
-                    stream      = stream,
-                    temperature = temperature,
-                    **kwargs)
-            
-            if b"content" in token:
-                token = json.loads(token.decode("utf-8").split("data: ")[1])
-                token = token["choices"][0]["delta"].get("content")
-                if token:
-                    yield (token)
-
-    @classmethod
-    @property
-    def params(cls):
-        params = [
-            ("model", "str"),
-            ("messages", "list[dict[str, str]]"),
-            ("stream", "bool"),
-            ("temperature", "float"),
-        ]
-        param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.provider.{cls.__name__} supports: ({param})"
-- 
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