modification

g4f/Providers/Ails.py

@@ -1,11 +1,10 @@
 import os
-import time
 import json
+import time
 import uuid
 import hashlib
 import requests
 
-from ..typing import sha256, Dict, get_type_hints
 from datetime import datetime
 
 url: str = 'https://ai.ls'
@@ -13,29 +12,24 @@ model: str = 'gpt-3.5-turbo'
 
 
 class Utils:
-    def hash(json_data: Dict[str, str]) -> sha256:
+    @staticmethod
+    def hash(json_data: dict) -> str:
+        secretKey = bytearray([79, 86, 98, 105, 91, 84, 80, 78, 123, 83,
+                               35, 41, 99, 123, 51, 54, 37, 57, 63, 103, 59, 117, 115, 108, 41, 67, 76])
 
-        secretKey: bytearray = bytearray([79, 86, 98, 105, 91, 84, 80, 78, 123, 83,
-                                         35, 41, 99, 123, 51, 54, 37, 57, 63, 103, 59, 117, 115, 108, 41, 67, 76])
-
-        base_string: str = '%s:%s:%s:%s' % (
-            json_data['t'],
-            json_data['m'],
-            'OVbi[TPN{S#)c{36%9?g;usl)CL',
-            len(json_data['m'])
-        )
+        base_string = f"{json_data['t']}:{json_data['m']}:{'OVbi[TPN{S#)c{36%9?g;usl)CL'}:{len(json_data['m'])}"
         
         return hashlib.sha256(base_string.encode()).hexdigest()
 
+    @staticmethod
     def format_timestamp(timestamp: int) -> str:
-
         e = timestamp
         n = e % 10
         r = n + 1 if n % 2 == 0 else n
         return str(e - n + r)
 
 
-def _create_completion(model: str,messages: list, temperature: float = 0.6, stream: bool = False):
+def _create_completion(model: str, messages: list, temperature: float = 0.6, stream: bool = False):
     headers = {
         'authority': 'api.caipacity.com',
         'accept': '*/*',
@@ -61,13 +55,16 @@ def _create_completion(model: str,messages: list, temperature: float = 0.6, stre
         't': timestamp,
         's': Utils.hash({
             't': timestamp,
-            'm': messages[-1]['content']})}
+            'm': messages[-1]['content']
+        })
+    }
 
-    json_data = json.dumps(separators=(',', ':'), obj={
+    json_data = json.dumps({
         'model': 'gpt-3.5-turbo',
         'temperature': temperature,
         'stream': True,
-        'messages': messages} | sig)
+        'messages': messages
+    } | sig, separators=(',', ':'))
 
     response = requests.post('https://api.caipacity.com/v1/chat/completions?full=false',
                              headers=headers, data=json_data, stream=True)