1 files changed, 116 insertions, 0 deletions
diff --git a/g4f/Provider/Nexra.py b/g4f/Provider/Nexra.py
new file mode 100644
index 00000000..b2b83837
--- /dev/null
+++ b/g4f/Provider/Nexra.py
@@ -0,0 +1,116 @@
+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
+from ..image import ImageResponse
+
+class Nexra(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://nexra.aryahcr.cc"
+    chat_api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt"
+    image_api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
+    working = True
+    supports_gpt_35_turbo = True
+    supports_gpt_4 = True
+    supports_system_message = True
+    supports_message_history = True
+    
+    default_model = 'gpt-3.5-turbo'
+    text_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',
+    ]
+    image_models = ['dalle', 'dalle2', 'dalle-mini', 'emi']
+    models = [*text_models, *image_models]
+    
+    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",
+        
+        "dalle-2": "dalle2",
+    }
+    
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        if model in cls.text_models or model in cls.image_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(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            "Content-Type": "application/json",
+        }
+        
+        async with ClientSession(headers=headers) as session:
+            if model in cls.image_models:
+                # Image generation
+                prompt = messages[-1]['content'] if messages else ""
+                data = {
+                    "prompt": prompt,
+                    "model": model,
+                    "response": "url"
+                }
+                async with session.post(cls.image_api_endpoint, json=data, proxy=proxy) as response:
+                    response.raise_for_status()
+                    result = await response.text()
+                    result_json = json.loads(result.strip('_'))
+                    image_url = result_json['images'][0] if result_json['images'] else None
+                    
+                    if image_url:
+                        yield ImageResponse(images=image_url, alt=prompt)
+            else:
+                # Text completion
+                data = {
+                    "messages": messages,
+                    "prompt": format_prompt(messages),
+                    "model": model,
+                    "markdown": False
+                }
+                async with session.post(cls.chat_api_endpoint, json=data, proxy=proxy) as response:
+                    response.raise_for_status()
+                    result = await response.text()
+                    
+                    try:
+                        json_response = json.loads(result)
+                        gpt_response = json_response.get('gpt', '')
+                        yield gpt_response
+                    except json.JSONDecodeError:
+                        yield result