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authorMIDORIBIN <aquarion123@gmail.com>2023-07-28 12:07:17 +0200
committerMIDORIBIN <aquarion123@gmail.com>2023-08-14 04:46:32 +0200
commitf6ef3cb2237d8c336e915ef77ddbe6f37934c4fd (patch)
treec8bc44917ea03909cf586140f984ff0814bc30ea /g4f/Provider/EasyChat.py
parent~ | small fixes & new pypi version | v-0.0.1.9 (diff)
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Diffstat (limited to 'g4f/Provider/EasyChat.py')
-rw-r--r--g4f/Provider/EasyChat.py83
1 files changed, 83 insertions, 0 deletions
diff --git a/g4f/Provider/EasyChat.py b/g4f/Provider/EasyChat.py
new file mode 100644
index 00000000..59c46ffa
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+++ b/g4f/Provider/EasyChat.py
@@ -0,0 +1,83 @@
+import json
+
+import requests
+
+from ..typing import Any, CreateResult
+from .base_provider import BaseProvider
+
+
+class EasyChat(BaseProvider):
+ url = "https://free.easychat.work"
+ supports_stream = True
+ supports_gpt_35_turbo = True
+
+ @staticmethod
+ def create_completion(
+ model: str,
+ messages: list[dict[str, str]],
+ stream: bool,
+ **kwargs: Any,
+ ) -> CreateResult:
+ active_servers = [
+ "https://chat10.fastgpt.me",
+ "https://chat9.fastgpt.me",
+ "https://chat1.fastgpt.me",
+ "https://chat2.fastgpt.me",
+ "https://chat3.fastgpt.me",
+ "https://chat4.fastgpt.me",
+ ]
+ server = active_servers[kwargs.get("active_server", 0)]
+ headers = {
+ "authority": f"{server}".replace("https://", ""),
+ "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,fa=0.2",
+ "content-type": "application/json",
+ "origin": f"{server}",
+ "referer": f"{server}/",
+ "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
+ "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
+ "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),
+ }
+
+ session = requests.Session()
+ # init cookies from server
+ session.get(f"{server}/")
+
+ response = session.post(
+ f"{server}/api/openai/v1/chat/completions",
+ headers=headers,
+ json=json_data,
+ )
+
+ response.raise_for_status()
+ print(response.text)
+ for chunk in response.iter_lines():
+ if b"content" in chunk:
+ data = json.loads(chunk.decode().split("data: ")[1])
+ yield data["choices"][0]["delta"]["content"]
+
+ @classmethod
+ @property
+ def params(cls):
+ params = [
+ ("model", "str"),
+ ("messages", "list[dict[str, str]]"),
+ ("stream", "bool"),
+ ("temperature", "float"),
+ ("presence_penalty", "int"),
+ ("frequency_penalty", "int"),
+ ("top_p", "int"),
+ ("active_server", "int"),
+ ]
+ param = ", ".join([": ".join(p) for p in params])
+ return f"g4f.provider.{cls.__name__} supports: ({param})"