1 files changed, 98 insertions, 0 deletions

diff --git a/g4f/Provider/H2o.py b/g4f/Provider/H2o.py
new file mode 100644
index 00000000..c2492e59
--- /dev/null
+++ b/g4f/Provider/H2o.py
@@ -0,0 +1,98 @@
+import json
+import uuid
+
+import requests
+
+from ..typing import Any, CreateResult
+from .base_provider import BaseProvider
+
+
+class H2o(BaseProvider):
+    url = "https://gpt-gm.h2o.ai"
+    working = True
+    supports_stream = True
+
+    @staticmethod
+    def create_completion(
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool,
+        **kwargs: Any,
+    ) -> CreateResult:
+        conversation = ""
+        for message in messages:
+            conversation += "%s: %s\n" % (message["role"], message["content"])
+        conversation += "assistant: "
+
+        session = requests.Session()
+
+        headers = {"Referer": "https://gpt-gm.h2o.ai/r/jGfKSwU"}
+        data = {
+            "ethicsModalAccepted": "true",
+            "shareConversationsWithModelAuthors": "true",
+            "ethicsModalAcceptedAt": "",
+            "activeModel": model,
+            "searchEnabled": "true",
+        }
+        session.post(
+            "https://gpt-gm.h2o.ai/settings",
+            headers=headers,
+            data=data,
+        )
+
+        headers = {"Referer": "https://gpt-gm.h2o.ai/"}
+        data = {"model": model}
+
+        response = session.post(
+            "https://gpt-gm.h2o.ai/conversation",
+            headers=headers,
+            json=data,
+        )
+        conversation_id = response.json()["conversationId"]
+
+        data = {
+            "inputs": conversation,
+            "parameters": {
+                "temperature": kwargs.get("temperature", 0.4),
+                "truncate": kwargs.get("truncate", 2048),
+                "max_new_tokens": kwargs.get("max_new_tokens", 1024),
+                "do_sample": kwargs.get("do_sample", True),
+                "repetition_penalty": kwargs.get("repetition_penalty", 1.2),
+                "return_full_text": kwargs.get("return_full_text", False),
+            },
+            "stream": True,
+            "options": {
+                "id": kwargs.get("id", str(uuid.uuid4())),
+                "response_id": kwargs.get("response_id", str(uuid.uuid4())),
+                "is_retry": False,
+                "use_cache": False,
+                "web_search_id": "",
+            },
+        }
+
+        response = session.post(
+            f"https://gpt-gm.h2o.ai/conversation/{conversation_id}",
+            headers=headers,
+            json=data,
+        )
+        generated_text = response.text.replace("\n", "").split("data:")
+        generated_text = json.loads(generated_text[-1])
+
+        yield generated_text["generated_text"]
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+            ("truncate", "int"),
+            ("max_new_tokens", "int"),
+            ("do_sample", "bool"),
+            ("repetition_penalty", "float"),
+            ("return_full_text", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"