1 files changed, 77 insertions, 0 deletions

diff --git a/g4f/Provider/needs_auth/ThebApi.py b/g4f/Provider/needs_auth/ThebApi.py
new file mode 100644
index 00000000..0441f352
--- /dev/null
+++ b/g4f/Provider/needs_auth/ThebApi.py
@@ -0,0 +1,77 @@
+from __future__ import annotations
+
+import requests
+
+from ...typing import Any, CreateResult, Messages
+from ..base_provider import BaseProvider
+
+models = {
+    "theb-ai": "TheB.AI",
+    "gpt-3.5-turbo": "GPT-3.5",
+    "gpt-3.5-turbo-16k": "GPT-3.5-16K",
+    "gpt-4-turbo": "GPT-4 Turbo",
+    "gpt-4": "GPT-4",
+    "gpt-4-32k": "GPT-4 32K",
+    "claude-2": "Claude 2",
+    "claude-1": "Claude",
+    "claude-1-100k": "Claude 100K",
+    "claude-instant-1": "Claude Instant",
+    "claude-instant-1-100k": "Claude Instant 100K",
+    "palm-2": "PaLM 2",
+    "palm-2-codey": "Codey",
+    "vicuna-13b-v1.5": "Vicuna v1.5 13B",
+    "llama-2-7b-chat": "Llama 2 7B",
+    "llama-2-13b-chat": "Llama 2 13B",
+    "llama-2-70b-chat": "Llama 2 70B",
+    "code-llama-7b": "Code Llama 7B",
+    "code-llama-13b": "Code Llama 13B",
+    "code-llama-34b": "Code Llama 34B",
+    "qwen-7b-chat": "Qwen 7B"
+}
+
+class ThebApi(BaseProvider):
+    url = "https://theb.ai"
+    working = True
+    needs_auth = True
+
+    @staticmethod
+    def create_completion(
+        model: str,
+        messages: Messages,
+        stream: bool,
+        auth: str,
+        proxy: str = None,
+        **kwargs
+    ) -> CreateResult:
+        if model and model not in models:
+            raise ValueError(f"Model are not supported: {model}")
+        headers = {
+            'accept': 'application/json',
+            'authorization': f'Bearer {auth}',
+            'content-type': 'application/json',
+        }
+        # response = requests.get("https://api.baizhi.ai/v1/models", headers=headers).json()["data"]
+        # models = dict([(m["id"], m["name"]) for m in response])
+        # print(json.dumps(models, indent=4))
+        data: dict[str, Any] = {
+            "model": model if model else "gpt-3.5-turbo",
+            "messages": messages,
+            "stream": False,
+            "model_params": {
+                "system_prompt": kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI, based on the GPT-3.5 architecture."),
+                "temperature": 1,
+                "top_p": 1,
+                **kwargs
+            }
+        }
+        response = requests.post(
+            "https://api.theb.ai/v1/chat/completions",
+            headers=headers,
+            json=data,
+            proxies={"https": proxy}
+        )
+        try:
+            response.raise_for_status()
+            yield response.json()["choices"][0]["message"]["content"]
+        except:
+            raise RuntimeError(f"Response: {next(response.iter_lines()).decode()}")
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