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authorkqlio67 <kqlio67@users.noreply.github.com>2024-10-21 20:52:27 +0200
committerkqlio67 <kqlio67@users.noreply.github.com>2024-10-21 20:52:27 +0200
commitef6ec5d4ef49ea04a8cda2946fb2fa33c2d43c29 (patch)
tree4c9e202ac4946624d629810977e2f0a08178a5da
parentUpdated providers (g4f/Provider/nexra/NexraChatGPT.py g4f/Provider/nexra/NexraBlackbox.py g4f/Provider/nexra/NexraBing.py g4f/Provider/nexra/NexraChatGptV2.py g4f/Provider/nexra/NexraChatGptWeb.py) (diff)
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-rw-r--r--g4f/Provider/nexra/NexraGeminiPro.py81
1 files changed, 49 insertions, 32 deletions
diff --git a/g4f/Provider/nexra/NexraGeminiPro.py b/g4f/Provider/nexra/NexraGeminiPro.py
index fb0b096b..2d1ce343 100644
--- a/g4f/Provider/nexra/NexraGeminiPro.py
+++ b/g4f/Provider/nexra/NexraGeminiPro.py
@@ -1,42 +1,41 @@
from __future__ import annotations
-from aiohttp import ClientSession
import json
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..helper import format_prompt
-from ...typing import AsyncResult, Messages
+import requests
+from ...typing import CreateResult, Messages
+from ..base_provider import ProviderModelMixin, AbstractProvider
+from ..helper import format_prompt
-class NexraGeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
+class NexraGeminiPro(AbstractProvider, ProviderModelMixin):
label = "Nexra Gemini PRO"
url = "https://nexra.aryahcr.cc/documentation/gemini-pro/en"
api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
- working = False
+ working = True
supports_stream = True
-
+
default_model = 'gemini-pro'
models = [default_model]
@classmethod
def get_model(cls, model: str) -> str:
return cls.default_model
-
+
@classmethod
- async def create_async_generator(
+ def create_completion(
cls,
model: str,
messages: Messages,
- proxy: str = None,
- stream: bool = False,
+ stream: bool,
markdown: bool = False,
**kwargs
- ) -> AsyncResult:
+ ) -> CreateResult:
model = cls.get_model(model)
headers = {
- "Content-Type": "application/json"
+ 'Content-Type': 'application/json'
}
-
+
data = {
"messages": [
{
@@ -44,25 +43,43 @@ class NexraGeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
"content": format_prompt(messages)
}
],
- "markdown": markdown,
"stream": stream,
+ "markdown": markdown,
"model": model
}
+
+ response = requests.post(cls.api_endpoint, headers=headers, json=data, stream=stream)
+
+ if stream:
+ return cls.process_streaming_response(response)
+ else:
+ return cls.process_non_streaming_response(response)
- async with ClientSession(headers=headers) as session:
- async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
- response.raise_for_status()
- buffer = ""
- async for chunk in response.content.iter_any():
- if chunk.strip(): # Check if chunk is not empty
- buffer += chunk.decode()
- while '\x1e' in buffer:
- part, buffer = buffer.split('\x1e', 1)
- if part.strip():
- try:
- response_json = json.loads(part)
- message = response_json.get("message", "")
- if message:
- yield message
- except json.JSONDecodeError as e:
- print(f"JSONDecodeError: {e}")
+ @classmethod
+ def process_non_streaming_response(cls, response):
+ if response.status_code == 200:
+ try:
+ content = response.text.lstrip('`')
+ data = json.loads(content)
+ return data.get('message', '')
+ except json.JSONDecodeError:
+ return "Error: Unable to decode JSON response"
+ else:
+ return f"Error: {response.status_code}"
+
+ @classmethod
+ def process_streaming_response(cls, response):
+ full_message = ""
+ for line in response.iter_lines(decode_unicode=True):
+ if line:
+ try:
+ line = line.lstrip('`')
+ data = json.loads(line)
+ if data.get('finish'):
+ break
+ message = data.get('message', '')
+ if message:
+ yield message[len(full_message):]
+ full_message = message
+ except json.JSONDecodeError:
+ pass