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-rw-r--r--g4f/Provider/AIUncensored.py148
-rw-r--r--g4f/models.py4
2 files changed, 79 insertions, 73 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
diff --git a/g4f/models.py b/g4f/models.py
index ae3d430d..dd2b827d 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -8,6 +8,7 @@ from .Provider import (
AIChatFree,
AiMathGPT,
Airforce,
+ AIUncensored,
Allyfy,
AmigoChat,
Bing,
@@ -109,6 +110,7 @@ default = Model(
Cloudflare,
Editee,
AiMathGPT,
+ AIUncensored,
])
)
@@ -808,7 +810,7 @@ playground_v2_5 = Model(
flux = Model(
name = 'flux',
base_provider = 'Flux AI',
- best_provider = IterListProvider([Blackbox, Airforce])
+ best_provider = IterListProvider([Blackbox, AIUncensored, Airforce])
)