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-rw-r--r--g4f/Provider/Lockchat.py66
1 files changed, 66 insertions, 0 deletions
diff --git a/g4f/Provider/Lockchat.py b/g4f/Provider/Lockchat.py
new file mode 100644
index 00000000..974d1331
--- /dev/null
+++ b/g4f/Provider/Lockchat.py
@@ -0,0 +1,66 @@
+import json
+
+import requests
+
+from ..typing import Any, CreateResult
+from .base_provider import BaseProvider
+
+
+class Lockchat(BaseProvider):
+ url = "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})"