1 files changed, 76 insertions, 72 deletions

diff --git a/g4f/Provider/AIUncensored.py b/g4f/Provider/AIUncensored.py
index d653191c..ce492b38 100644
--- a/g4f/Provider/AIUncensored.py
+++ b/g4f/Provider/AIUncensored.py
@@ -2,33 +2,49 @@ from __future__ import annotations
 
 import json
 from aiohttp import ClientSession
+from itertools import cycle
 
 from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from .helper import format_prompt
 from ..image import ImageResponse
 
+
 class AIUncensored(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://www.aiuncensored.info"
+    api_endpoints_text = [
+        "https://twitterclone-i0wr.onrender.com/api/chat",
+        "https://twitterclone-4e8t.onrender.com/api/chat",
+        "https://twitterclone-8wd1.onrender.com/api/chat",
+    ]
+    api_endpoints_image = [
+        "https://twitterclone-4e8t.onrender.com/api/image",
+        "https://twitterclone-i0wr.onrender.com/api/image",
+        "https://twitterclone-8wd1.onrender.com/api/image",
+    ]
+    api_endpoints_cycle_text = cycle(api_endpoints_text)
+    api_endpoints_cycle_image = cycle(api_endpoints_image)
     working = True
     supports_stream = True
     supports_system_message = True
     supports_message_history = True
     
-    default_model = 'ai_uncensored'
-    chat_models = [default_model]
-    image_models = ['ImageGenerator']
-    models = [*chat_models, *image_models]
-
-    api_endpoints = {
-        'ai_uncensored': "https://twitterclone-i0wr.onrender.com/api/chat",
-        'ImageGenerator': "https://twitterclone-4e8t.onrender.com/api/image"
+    default_model = 'TextGenerations'
+    text_models = [default_model]
+    image_models = ['ImageGenerations']
+    models = [*text_models, *image_models]
+    
+    model_aliases = {
+        #"": "TextGenerations",
+        "flux": "ImageGenerations",
     }
 
     @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
 
@@ -38,75 +54,63 @@ class AIUncensored(AsyncGeneratorProvider, ProviderModelMixin):
         model: str,
         messages: Messages,
         proxy: str = None,
-        stream: bool = False,
         **kwargs
     ) -> AsyncResult:
         model = cls.get_model(model)
         
-        if model in cls.chat_models:
-            async with ClientSession(headers={"content-type": "application/json"}) as session:
+        headers = {
+            'accept': '*/*',
+            'accept-language': 'en-US,en;q=0.9',
+            'cache-control': 'no-cache',
+            'content-type': 'application/json',
+            'origin': 'https://www.aiuncensored.info',
+            'pragma': 'no-cache',
+            'priority': 'u=1, i',
+            'referer': 'https://www.aiuncensored.info/',
+            'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"Linux"',
+            'sec-fetch-dest': 'empty',
+            'sec-fetch-mode': 'cors',
+            'sec-fetch-site': 'cross-site',
+            'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36'
+        }
+        
+        async with ClientSession(headers=headers) as session:
+            if model in cls.image_models:
+                prompt = messages[-1]['content']
                 data = {
-                    "messages": [
-                        {"role": "user", "content": format_prompt(messages)}
-                    ],
-                    "stream": stream
+                    "prompt": prompt,
                 }
-                async with session.post(cls.api_endpoints[model], json=data, proxy=proxy) as response:
+                api_endpoint = next(cls.api_endpoints_cycle_image)
+                async with session.post(api_endpoint, json=data, proxy=proxy) as response:
                     response.raise_for_status()
-                    if stream:
-                        async for chunk in cls._handle_streaming_response(response):
-                            yield chunk
-                    else:
-                        yield await cls._handle_non_streaming_response(response)
-        elif model in cls.image_models:
-            headers = {
-                "accept": "*/*",
-                "accept-language": "en-US,en;q=0.9",
-                "cache-control": "no-cache",
-                "content-type": "application/json",
-                "origin": cls.url,
-                "pragma": "no-cache",
-                "priority": "u=1, i",
-                "referer": f"{cls.url}/",
-                "sec-ch-ua": '"Chromium";v="129", "Not=A?Brand";v="8"',
-                "sec-ch-ua-mobile": "?0",
-                "sec-ch-ua-platform": '"Linux"',
-                "sec-fetch-dest": "empty",
-                "sec-fetch-mode": "cors",
-                "sec-fetch-site": "cross-site",
-                "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36"
-            }
-            async with ClientSession(headers=headers) as session:
-                prompt = messages[0]['content']
-                data = {"prompt": prompt}
-                async with session.post(cls.api_endpoints[model], json=data, proxy=proxy) as response:
+                    response_data = await response.json()
+                    image_url = response_data['image_url']
+                    image_response = ImageResponse(images=image_url, alt=prompt)
+                    yield image_response
+            elif model in cls.text_models:
+                data = {
+                    "messages": [
+                        {
+                            "role": "user",
+                            "content": format_prompt(messages)
+                        }
+                    ]
+                }
+                api_endpoint = next(cls.api_endpoints_cycle_text)
+                async with session.post(api_endpoint, json=data, proxy=proxy) as response:
                     response.raise_for_status()
-                    result = await response.json()
-                    image_url = result.get('image_url', '')
-                    if image_url:
-                        yield ImageResponse(image_url, alt=prompt)
-                    else:
-                        yield "Failed to generate image. Please try again."
-
-    @classmethod
-    async def _handle_streaming_response(cls, response):
-        async for line in response.content:
-            line = line.decode('utf-8').strip()
-            if line.startswith("data: "):
-                if line == "data: [DONE]":
-                    break
-                try:
-                    json_data = json.loads(line[6:])
-                    if 'data' in json_data:
-                        yield json_data['data']
-                except json.JSONDecodeError:
-                    pass
-
-    @classmethod
-    async def _handle_non_streaming_response(cls, response):
-        response_json = await response.json()
-        return response_json.get('content', "Sorry, I couldn't generate a response.")
-
-    @classmethod
-    def validate_response(cls, response: str) -> str:
-        return response
+                    full_response = ""
+                    async for line in response.content:
+                        line = line.decode('utf-8')
+                        if line.startswith("data: "):
+                            try:
+                                json_str = line[6:]
+                                if json_str != "[DONE]":
+                                    data = json.loads(json_str)
+                                    if "data" in data:
+                                        full_response += data["data"]
+                                        yield data["data"]
+                            except json.JSONDecodeError:
+                                continue