diff options
Diffstat (limited to 'g4f/Provider/nexra/NexraChatGPT.py')
-rw-r--r-- | g4f/Provider/nexra/NexraChatGPT.py | 97 |
1 files changed, 60 insertions, 37 deletions
diff --git a/g4f/Provider/nexra/NexraChatGPT.py b/g4f/Provider/nexra/NexraChatGPT.py index 8ed83f98..f9f49139 100644 --- a/g4f/Provider/nexra/NexraChatGPT.py +++ b/g4f/Provider/nexra/NexraChatGPT.py @@ -1,22 +1,60 @@ from __future__ import annotations + from aiohttp import ClientSession +import json + from ...typing import AsyncResult, Messages from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin from ..helper import format_prompt -import json + class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin): label = "Nexra ChatGPT" + url = "https://nexra.aryahcr.cc/documentation/chatgpt/en" api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt" + working = True + supports_gpt_35_turbo = True + supports_gpt_4 = True + supports_stream = False + + default_model = 'gpt-3.5-turbo' + models = ['gpt-4', 'gpt-4-0613', 'gpt-4-0314', 'gpt-4-32k-0314', 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002', 'gpt-3', 'text-curie-001', 'text-babbage-001', 'text-ada-001', 'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002'] + + model_aliases = { + "gpt-4": "gpt-4-0613", + "gpt-4": "gpt-4-32k", + "gpt-4": "gpt-4-0314", + "gpt-4": "gpt-4-32k-0314", + + "gpt-3.5-turbo": "gpt-3.5-turbo-16k", + "gpt-3.5-turbo": "gpt-3.5-turbo-0613", + "gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613", + "gpt-3.5-turbo": "gpt-3.5-turbo-0301", + + "gpt-3": "text-davinci-003", + "gpt-3": "text-davinci-002", + "gpt-3": "code-davinci-002", + "gpt-3": "text-curie-001", + "gpt-3": "text-babbage-001", + "gpt-3": "text-ada-001", + "gpt-3": "text-ada-001", + "gpt-3": "davinci", + "gpt-3": "curie", + "gpt-3": "babbage", + "gpt-3": "ada", + "gpt-3": "babbage-002", + "gpt-3": "davinci-002", + } - models = [ - 'gpt-4', 'gpt-4-0613', 'gpt-4-32k', 'gpt-4-0314', 'gpt-4-32k-0314', - 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', - 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301', - 'gpt-3', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002', - 'text-curie-001', 'text-babbage-001', 'text-ada-001', - 'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002', - ] + + @classmethod + def get_model(cls, model: str) -> str: + if model in cls.models: + return model + elif model in cls.model_aliases: + return cls.model_aliases[model] + else: + return cls.default_model @classmethod async def create_async_generator( @@ -26,41 +64,26 @@ class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin): proxy: str = None, **kwargs ) -> AsyncResult: + model = cls.get_model(model) + headers = { - "Accept": "application/json", - "Content-Type": "application/json", - "Referer": f"{cls.url}/chat", + "Content-Type": "application/json" } - async with ClientSession(headers=headers) as session: prompt = format_prompt(messages) data = { + "messages": messages, "prompt": prompt, "model": model, - "markdown": False, - "messages": messages or [], + "markdown": False } - async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response: response.raise_for_status() - - content_type = response.headers.get('Content-Type', '') - if 'application/json' in content_type: - result = await response.json() - if result.get("status"): - yield result.get("gpt", "") - else: - raise Exception(f"Error in response: {result.get('message', 'Unknown error')}") - elif 'text/plain' in content_type: - text = await response.text() - try: - result = json.loads(text) - if result.get("status"): - yield result.get("gpt", "") - else: - raise Exception(f"Error in response: {result.get('message', 'Unknown error')}") - except json.JSONDecodeError: - yield text # If not JSON, return text - else: - raise Exception(f"Unexpected response type: {content_type}. Response text: {await response.text()}") - + response_text = await response.text() + try: + if response_text.startswith('_'): + response_text = response_text[1:] + response_data = json.loads(response_text) + yield response_data.get('gpt', '') + except json.JSONDecodeError: + yield '' |