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-rw-r--r--g4f/Provider/nexra/NexraBing.py82
-rw-r--r--g4f/Provider/nexra/NexraChatGPT.py66
-rw-r--r--g4f/Provider/nexra/NexraChatGPT4o.py52
-rw-r--r--g4f/Provider/nexra/NexraChatGPTWeb.py53
-rw-r--r--g4f/Provider/nexra/NexraGeminiPro.py52
-rw-r--r--g4f/Provider/nexra/NexraImageURL.py46
-rw-r--r--g4f/Provider/nexra/NexraLlama.py52
-rw-r--r--g4f/Provider/nexra/NexraQwen.py52
-rw-r--r--g4f/Provider/nexra/__init__.py1
9 files changed, 456 insertions, 0 deletions
diff --git a/g4f/Provider/nexra/NexraBing.py b/g4f/Provider/nexra/NexraBing.py
new file mode 100644
index 00000000..59e06a3d
--- /dev/null
+++ b/g4f/Provider/nexra/NexraBing.py
@@ -0,0 +1,82 @@
+from __future__ import annotations
+from aiohttp import ClientSession
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+import json
+
+class NexraBing(AsyncGeneratorProvider, ProviderModelMixin):
+ label = "Nexra Bing"
+ api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
+
+ bing_models = {
+ 'Bing (Balanced)': 'Balanced',
+ 'Bing (Creative)': 'Creative',
+ 'Bing (Precise)': 'Precise'
+ }
+
+ models = [*bing_models.keys()]
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "Content-Type": "application/json",
+ "Accept": "application/json",
+ "Origin": cls.url or "https://default-url.com",
+ "Referer": f"{cls.url}/chat" if cls.url else "https://default-url.com/chat",
+ }
+
+ async with ClientSession(headers=headers) as session:
+ prompt = format_prompt(messages)
+ if prompt is None:
+ raise ValueError("Prompt cannot be None")
+
+ data = {
+ "messages": [
+ {
+ "role": "user",
+ "content": prompt
+ }
+ ],
+ "conversation_style": cls.bing_models.get(model, 'Balanced'),
+ "markdown": False,
+ "stream": True,
+ "model": "Bing"
+ }
+
+ full_response = ""
+ last_message = ""
+
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+
+ async for line in response.content:
+ if line:
+ raw_data = line.decode('utf-8').strip()
+
+ parts = raw_data.split('')
+ for part in parts:
+ if part:
+ try:
+ json_data = json.loads(part)
+ except json.JSONDecodeError:
+ continue
+
+ if json_data.get("error"):
+ raise Exception("Error in API response")
+
+ if json_data.get("finish"):
+ break
+
+ if message := json_data.get("message"):
+ if message != last_message:
+ full_response = message
+ last_message = message
+
+ yield full_response.strip()
diff --git a/g4f/Provider/nexra/NexraChatGPT.py b/g4f/Provider/nexra/NexraChatGPT.py
new file mode 100644
index 00000000..8ed83f98
--- /dev/null
+++ b/g4f/Provider/nexra/NexraChatGPT.py
@@ -0,0 +1,66 @@
+from __future__ import annotations
+from aiohttp import ClientSession
+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"
+ api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt"
+
+ 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
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "Accept": "application/json",
+ "Content-Type": "application/json",
+ "Referer": f"{cls.url}/chat",
+ }
+
+ async with ClientSession(headers=headers) as session:
+ prompt = format_prompt(messages)
+ data = {
+ "prompt": prompt,
+ "model": model,
+ "markdown": False,
+ "messages": messages or [],
+ }
+
+ 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()}")
+
diff --git a/g4f/Provider/nexra/NexraChatGPT4o.py b/g4f/Provider/nexra/NexraChatGPT4o.py
new file mode 100644
index 00000000..eb18d439
--- /dev/null
+++ b/g4f/Provider/nexra/NexraChatGPT4o.py
@@ -0,0 +1,52 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+
+class NexraChatGPT4o(AsyncGeneratorProvider, ProviderModelMixin):
+ label = "Nexra GPT-4o"
+ api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
+ models = ['gpt-4o']
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "Content-Type": "application/json"
+ }
+ async with ClientSession(headers=headers) as session:
+ data = {
+ "messages": [
+ {'role': 'assistant', 'content': ''},
+ {'role': 'user', 'content': format_prompt(messages)}
+ ],
+ "markdown": False,
+ "stream": True,
+ "model": model
+ }
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+ full_response = ''
+ async for line in response.content:
+ if line:
+ messages = line.decode('utf-8').split('\x1e')
+ for message_str in messages:
+ try:
+ message = json.loads(message_str)
+ if message.get('message'):
+ full_response = message['message']
+ if message.get('finish'):
+ yield full_response.strip()
+ return
+ except json.JSONDecodeError:
+ pass
diff --git a/g4f/Provider/nexra/NexraChatGPTWeb.py b/g4f/Provider/nexra/NexraChatGPTWeb.py
new file mode 100644
index 00000000..e7738665
--- /dev/null
+++ b/g4f/Provider/nexra/NexraChatGPTWeb.py
@@ -0,0 +1,53 @@
+from __future__ import annotations
+from aiohttp import ClientSession
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+import json
+
+class NexraChatGPTWeb(AsyncGeneratorProvider, ProviderModelMixin):
+ label = "Nexra ChatGPT Web"
+ api_endpoint = "https://nexra.aryahcr.cc/api/chat/gptweb"
+ models = ['gptweb']
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "Content-Type": "application/json",
+ }
+
+ async with ClientSession(headers=headers) as session:
+ prompt = format_prompt(messages)
+ if prompt is None:
+ raise ValueError("Prompt cannot be None")
+
+ data = {
+ "prompt": prompt,
+ "markdown": False
+ }
+
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+
+ full_response = ""
+ async for chunk in response.content:
+ if chunk:
+ result = chunk.decode("utf-8").strip()
+
+ try:
+ json_data = json.loads(result)
+
+ if json_data.get("status"):
+ full_response = json_data.get("gpt", "")
+ else:
+ full_response = f"Error: {json_data.get('message', 'Unknown error')}"
+ except json.JSONDecodeError:
+ full_response = "Error: Invalid JSON response."
+
+ yield full_response.strip()
diff --git a/g4f/Provider/nexra/NexraGeminiPro.py b/g4f/Provider/nexra/NexraGeminiPro.py
new file mode 100644
index 00000000..a57daed4
--- /dev/null
+++ b/g4f/Provider/nexra/NexraGeminiPro.py
@@ -0,0 +1,52 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+
+class NexraGeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
+ label = "Nexra Gemini PRO"
+ api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
+ models = ['gemini-pro']
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "Content-Type": "application/json"
+ }
+ async with ClientSession(headers=headers) as session:
+ data = {
+ "messages": [
+ {'role': 'assistant', 'content': ''},
+ {'role': 'user', 'content': format_prompt(messages)}
+ ],
+ "markdown": False,
+ "stream": True,
+ "model": model
+ }
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+ full_response = ''
+ async for line in response.content:
+ if line:
+ messages = line.decode('utf-8').split('\x1e')
+ for message_str in messages:
+ try:
+ message = json.loads(message_str)
+ if message.get('message'):
+ full_response = message['message']
+ if message.get('finish'):
+ yield full_response.strip()
+ return
+ except json.JSONDecodeError:
+ pass
diff --git a/g4f/Provider/nexra/NexraImageURL.py b/g4f/Provider/nexra/NexraImageURL.py
new file mode 100644
index 00000000..13d70757
--- /dev/null
+++ b/g4f/Provider/nexra/NexraImageURL.py
@@ -0,0 +1,46 @@
+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
+from ...image import ImageResponse
+
+class NexraImageURL(AsyncGeneratorProvider, ProviderModelMixin):
+ label = "Image Generation Provider"
+ api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
+ models = ['dalle', 'dalle2', 'dalle-mini', 'emi', 'sdxl-turbo', 'prodia']
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "Content-Type": "application/json",
+ }
+
+ async with ClientSession(headers=headers) as session:
+ prompt = format_prompt(messages)
+ data = {
+ "prompt": prompt,
+ "model": model,
+ "response": "url"
+ }
+
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+ response_text = await response.text()
+
+ cleaned_response = response_text.lstrip('_')
+ response_json = json.loads(cleaned_response)
+
+ images = response_json.get("images")
+ if images and len(images) > 0:
+ image_response = ImageResponse(images[0], alt="Generated Image")
+ yield image_response
+ else:
+ yield "No image URL found."
diff --git a/g4f/Provider/nexra/NexraLlama.py b/g4f/Provider/nexra/NexraLlama.py
new file mode 100644
index 00000000..9ed892e8
--- /dev/null
+++ b/g4f/Provider/nexra/NexraLlama.py
@@ -0,0 +1,52 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+
+class NexraLlama(AsyncGeneratorProvider, ProviderModelMixin):
+ label = "Nexra LLaMA 3.1"
+ api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
+ models = ['llama-3.1']
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "Content-Type": "application/json"
+ }
+ async with ClientSession(headers=headers) as session:
+ data = {
+ "messages": [
+ {'role': 'assistant', 'content': ''},
+ {'role': 'user', 'content': format_prompt(messages)}
+ ],
+ "markdown": False,
+ "stream": True,
+ "model": model
+ }
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+ full_response = ''
+ async for line in response.content:
+ if line:
+ messages = line.decode('utf-8').split('\x1e')
+ for message_str in messages:
+ try:
+ message = json.loads(message_str)
+ if message.get('message'):
+ full_response = message['message']
+ if message.get('finish'):
+ yield full_response.strip()
+ return
+ except json.JSONDecodeError:
+ pass
diff --git a/g4f/Provider/nexra/NexraQwen.py b/g4f/Provider/nexra/NexraQwen.py
new file mode 100644
index 00000000..ae8e9a0e
--- /dev/null
+++ b/g4f/Provider/nexra/NexraQwen.py
@@ -0,0 +1,52 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+
+class NexraQwen(AsyncGeneratorProvider, ProviderModelMixin):
+ label = "Nexra Qwen"
+ api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
+ models = ['qwen']
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "Content-Type": "application/json"
+ }
+ async with ClientSession(headers=headers) as session:
+ data = {
+ "messages": [
+ {'role': 'assistant', 'content': ''},
+ {'role': 'user', 'content': format_prompt(messages)}
+ ],
+ "markdown": False,
+ "stream": True,
+ "model": model
+ }
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+ full_response = ''
+ async for line in response.content:
+ if line:
+ messages = line.decode('utf-8').split('\x1e')
+ for message_str in messages:
+ try:
+ message = json.loads(message_str)
+ if message.get('message'):
+ full_response = message['message']
+ if message.get('finish'):
+ yield full_response.strip()
+ return
+ except json.JSONDecodeError:
+ pass
diff --git a/g4f/Provider/nexra/__init__.py b/g4f/Provider/nexra/__init__.py
new file mode 100644
index 00000000..8b137891
--- /dev/null
+++ b/g4f/Provider/nexra/__init__.py
@@ -0,0 +1 @@
+
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-06 22:34:31 +0100