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/deprecated/Lockchat.py | 64 +++++++++++++++++++++++++++++++++++++
 1 file changed, 64 insertions(+)
 create mode 100644 g4f/Provider/deprecated/Lockchat.py

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

diff --git a/g4f/Provider/deprecated/Lockchat.py b/g4f/Provider/deprecated/Lockchat.py
new file mode 100644
index 00000000..4bd7c5fe
--- /dev/null
+++ b/g4f/Provider/deprecated/Lockchat.py
@@ -0,0 +1,64 @@
+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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