From f6ef3cb2237d8c336e915ef77ddbe6f37934c4fd Mon Sep 17 00:00:00 2001
From: MIDORIBIN <aquarion123@gmail.com>
Date: Fri, 28 Jul 2023 19:07:17 +0900
Subject: refactor: refactor provider

---
 g4f/Provider/AItianhu.py | 54 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 g4f/Provider/AItianhu.py

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

diff --git a/g4f/Provider/AItianhu.py b/g4f/Provider/AItianhu.py
new file mode 100644
index 00000000..e8e5714a
--- /dev/null
+++ b/g4f/Provider/AItianhu.py
@@ -0,0 +1,54 @@
+import json
+
+import requests
+
+from ..typing import Any, CreateResult
+from .base_provider import BaseProvider
+
+
+class AItianhu(BaseProvider):
+    url = "https://www.aitianhu.com/api/chat-process"
+    working = False
+    supports_gpt_35_turbo = True
+
+    @staticmethod
+    def create_completion(
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool,
+        **kwargs: Any,
+    ) -> CreateResult:
+        base = ""
+        for message in messages:
+            base += "%s: %s\n" % (message["role"], message["content"])
+        base += "assistant:"
+
+        headers = {
+            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36"
+        }
+        data: dict[str, Any] = {
+            "prompt": base,
+            "options": {},
+            "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
+            "temperature": kwargs.get("temperature", 0.8),
+            "top_p": kwargs.get("top_p", 1),
+        }
+        url = "https://www.aitianhu.com/api/chat-process"
+        response = requests.post(url, headers=headers, json=data)
+        response.raise_for_status()
+        lines = response.text.strip().split("\n")
+        res = json.loads(lines[-1])
+        yield res["text"]
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+            ("top_p", "int"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
-- 
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