1 files changed, 107 insertions, 0 deletions
diff --git a/g4f/Provider/deprecated/H2o.py b/g4f/Provider/deprecated/H2o.py
new file mode 100644
index 00000000..47290a3e
--- /dev/null
+++ b/g4f/Provider/deprecated/H2o.py
@@ -0,0 +1,107 @@
+from __future__ import annotations
+
+import json
+import uuid
+
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, format_prompt
+
+
+class H2o(AsyncGeneratorProvider):
+    url = "https://gpt-gm.h2o.ai"
+    model = "h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1"
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        model = model if model else cls.model
+        headers = {"Referer": cls.url + "/"}
+
+        async with ClientSession(
+            headers=headers
+        ) as session:
+            data = {
+                "ethicsModalAccepted": "true",
+                "shareConversationsWithModelAuthors": "true",
+                "ethicsModalAcceptedAt": "",
+                "activeModel": model,
+                "searchEnabled": "true",
+            }
+            async with session.post(
+                f"{cls.url}/settings",
+                proxy=proxy,
+                data=data
+            ) as response:
+                response.raise_for_status()
+
+            async with session.post(
+                f"{cls.url}/conversation",
+                proxy=proxy,
+                json={"model": model},
+            ) as response:
+                response.raise_for_status()
+                conversationId = (await response.json())["conversationId"]
+
+            data = {
+                "inputs": format_prompt(messages),
+                "parameters": {
+                    "temperature": 0.4,
+                    "truncate": 2048,
+                    "max_new_tokens": 1024,
+                    "do_sample":  True,
+                    "repetition_penalty": 1.2,
+                    "return_full_text": False,
+                    **kwargs
+                },
+                "stream": True,
+                "options": {
+                    "id": str(uuid.uuid4()),
+                    "response_id": str(uuid.uuid4()),
+                    "is_retry": False,
+                    "use_cache": False,
+                    "web_search_id": "",
+                },
+            }
+            async with session.post(
+                f"{cls.url}/conversation/{conversationId}",
+                proxy=proxy,
+                json=data
+             ) as response:
+                start = "data:"
+                async for line in response.content:
+                    line = line.decode("utf-8")
+                    if line and line.startswith(start):
+                        line = json.loads(line[len(start):-1])
+                        if not line["token"]["special"]:
+                            yield line["token"]["text"]
+
+            async with session.delete(
+                f"{cls.url}/conversation/{conversationId}",
+                proxy=proxy,
+            ) as response:
+                response.raise_for_status()
+
+
+    @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})"