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authorHeiner Lohaus <heiner@lohaus.eu>2023-10-26 21:32:49 +0200
committerHeiner Lohaus <heiner@lohaus.eu>2023-10-26 21:43:20 +0200
commit0d1ae405cc24f3daafb783d758c019ef6731d3aa (patch)
tree38b81047c788b60458341b4a2cbda8fb7fd936aa /g4f/Provider
parentUpdate README.md (diff)
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Diffstat (limited to 'g4f/Provider')
-rw-r--r--g4f/Provider/DeepInfra.py63
-rw-r--r--g4f/Provider/Llama2.py17
-rw-r--r--g4f/Provider/__init__.py3
3 files changed, 74 insertions, 9 deletions
diff --git a/g4f/Provider/DeepInfra.py b/g4f/Provider/DeepInfra.py
new file mode 100644
index 00000000..70045cae
--- /dev/null
+++ b/g4f/Provider/DeepInfra.py
@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+
+class DeepInfra(AsyncGeneratorProvider):
+ url = "https://deepinfra.com"
+ working = True
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ if not model:
+ model = "meta-llama/Llama-2-70b-chat-hf"
+ headers = {
+ "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
+ "Accept": "text/event-stream",
+ "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
+ "Accept-Encoding": "gzip, deflate, br",
+ "Referer": f"{cls.url}/",
+ "Content-Type": "application/json",
+ "X-Deepinfra-Source": "web-page",
+ "Origin": cls.url,
+ "Connection": "keep-alive",
+ "Sec-Fetch-Dest": "empty",
+ "Sec-Fetch-Mode": "cors",
+ "Sec-Fetch-Site": "same-site",
+ "Pragma": "no-cache",
+ "Cache-Control": "no-cache",
+ }
+ async with ClientSession(headers=headers) as session:
+ data = {
+ "model": model,
+ "messages": messages,
+ "stream": True,
+ }
+ async with session.post(
+ "https://api.deepinfra.com/v1/openai/chat/completions",
+ json=data,
+ proxy=proxy
+ ) as response:
+ response.raise_for_status()
+ first = True
+ async for line in response.content:
+ if line.startswith(b"data: [DONE]"):
+ break
+ elif line.startswith(b"data: "):
+ chunk = json.loads(line[6:])["choices"][0]["delta"].get("content")
+ if chunk:
+ if first:
+ chunk = chunk.lstrip()
+ if chunk:
+ first = False
+ yield chunk \ No newline at end of file
diff --git a/g4f/Provider/Llama2.py b/g4f/Provider/Llama2.py
index b59fde12..1b332f86 100644
--- a/g4f/Provider/Llama2.py
+++ b/g4f/Provider/Llama2.py
@@ -6,15 +6,14 @@ from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider
models = {
- "7B": {"name": "Llama 2 7B", "version": "d24902e3fa9b698cc208b5e63136c4e26e828659a9f09827ca6ec5bb83014381", "shortened":"7B"},
- "13B": {"name": "Llama 2 13B", "version": "9dff94b1bed5af738655d4a7cbcdcde2bd503aa85c94334fe1f42af7f3dd5ee3", "shortened":"13B"},
- "70B": {"name": "Llama 2 70B", "version": "2796ee9483c3fd7aa2e171d38f4ca12251a30609463dcfd4cd76703f22e96cdf", "shortened":"70B"},
+ "meta-llama/Llama-2-7b-chat-hf": {"name": "Llama 2 7B", "version": "d24902e3fa9b698cc208b5e63136c4e26e828659a9f09827ca6ec5bb83014381", "shortened":"7B"},
+ "meta-llama/Llama-2-13b-chat-hf": {"name": "Llama 2 13B", "version": "9dff94b1bed5af738655d4a7cbcdcde2bd503aa85c94334fe1f42af7f3dd5ee3", "shortened":"13B"},
+ "meta-llama/Llama-2-70b-chat-hf": {"name": "Llama 2 70B", "version": "2796ee9483c3fd7aa2e171d38f4ca12251a30609463dcfd4cd76703f22e96cdf", "shortened":"70B"},
"Llava": {"name": "Llava 13B", "version": "6bc1c7bb0d2a34e413301fee8f7cc728d2d4e75bfab186aa995f63292bda92fc", "shortened":"Llava"}
}
class Llama2(AsyncGeneratorProvider):
url = "https://www.llama2.ai"
- supports_gpt_35_turbo = True
working = True
@classmethod
@@ -26,8 +25,8 @@ class Llama2(AsyncGeneratorProvider):
**kwargs
) -> AsyncResult:
if not model:
- model = "70B"
- if model not in models:
+ model = "meta-llama/Llama-2-70b-chat-hf"
+ elif model not in models:
raise ValueError(f"Model are not supported: {model}")
version = models[model]["version"]
headers = {
@@ -54,7 +53,7 @@ class Llama2(AsyncGeneratorProvider):
"systemPrompt": kwargs.get("system_message", "You are a helpful assistant."),
"temperature": kwargs.get("temperature", 0.75),
"topP": kwargs.get("top_p", 0.9),
- "maxTokens": kwargs.get("max_tokens", 1024),
+ "maxTokens": kwargs.get("max_tokens", 8000),
"image": None
}
started = False
@@ -68,9 +67,9 @@ class Llama2(AsyncGeneratorProvider):
def format_prompt(messages: Messages):
messages = [
- f"[INST]{message['content']}[/INST]"
+ f"[INST] {message['content']} [/INST]"
if message["role"] == "user"
else message["content"]
for message in messages
]
- return "\n".join(messages) \ No newline at end of file
+ return "\n".join(messages) + "\n" \ No newline at end of file
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 653b6026..60d3bd25 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -17,6 +17,7 @@ from .ChatgptFree import ChatgptFree
from .ChatgptLogin import ChatgptLogin
from .ChatgptX import ChatgptX
from .Cromicle import Cromicle
+from .DeepInfra import DeepInfra
from .FakeGpt import FakeGpt
from .FreeGpt import FreeGpt
from .GPTalk import GPTalk
@@ -70,6 +71,7 @@ class ProviderUtils:
'ChatgptX': ChatgptX,
'CodeLinkAva': CodeLinkAva,
'Cromicle': Cromicle,
+ 'DeepInfra': DeepInfra,
'DfeHub': DfeHub,
'EasyChat': EasyChat,
'Equing': Equing,
@@ -144,6 +146,7 @@ __all__ = [
'ChatgptLogin',
'ChatgptX',
'Cromicle',
+ 'DeepInfra',
'CodeLinkAva',
'DfeHub',
'EasyChat',