1 files changed, 74 insertions, 0 deletions

diff --git a/g4f/Provider/Equing.py b/g4f/Provider/Equing.py
new file mode 100644
index 00000000..bcf6cff9
--- /dev/null
+++ b/g4f/Provider/Equing.py
@@ -0,0 +1,74 @@
+import requests, json
+from abc import ABC, abstractmethod
+
+from ..typing import Any, CreateResult
+
+
+class Equing(ABC):
+    url: str = 'https://next.eqing.tech/'
+    working = True
+    needs_auth = False
+    supports_stream = True
+    supports_gpt_35_turbo = True
+    supports_gpt_4 = False
+
+    @staticmethod
+    @abstractmethod
+    def create_completion(
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool,
+        **kwargs: Any) -> CreateResult:
+
+        headers = {
+            'authority': 'next.eqing.tech',
+            'accept': 'text/event-stream',
+            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
+            'cache-control': 'no-cache',
+            'content-type': 'application/json',
+            'origin': 'https://next.eqing.tech',
+            'plugins': '0',
+            'pragma': 'no-cache',
+            'referer': 'https://next.eqing.tech/',
+            'sec-ch-ua': '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"macOS"',
+            'sec-fetch-dest': 'empty',
+            'sec-fetch-mode': 'cors',
+            'sec-fetch-site': 'same-origin',
+            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36',
+            'usesearch': 'false',
+            'x-requested-with': 'XMLHttpRequest',
+        }
+
+        json_data = {
+            'messages': messages,
+            'stream': stream,
+            'model': model,
+            'temperature': kwargs.get('temperature', 0.5),
+            'presence_penalty': kwargs.get('presence_penalty', 0),
+            'frequency_penalty': kwargs.get('frequency_penalty', 0),
+            'top_p': kwargs.get('top_p', 1),
+        }
+
+        response = requests.post('https://next.eqing.tech/api/openai/v1/chat/completions',
+            headers=headers, json=json_data, stream=stream)
+        
+        for line in response.iter_content(chunk_size=1024):
+            if line:
+                if b'content' in line:
+                        line_json = json.loads(line.decode('utf-8').split('data: ')[1])
+                        token = line_json['choices'][0]['delta'].get('content')
+                        if token:
+                            yield token
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
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