Update (docs/providers-and-models.md g4f/models.py g4f/Provider/GizAI.py)

docs/providers-and-models.md

@@ -30,7 +30,7 @@ This document provides an overview of various AI providers and models, including
 |[openchat.team](https://openchat.team/)|`g4f.Provider.Aura`|✔|❌|❌|?|![Cloudflare](https://img.shields.io/badge/Cloudflare-f48d37)![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
 |[bing.com](https://bing.com/chat)|`g4f.Provider.Bing`|`gpt-4`|✔|`gpt-4-vision`|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌+✔|
 |[bing.com/images](https://www.bing.com/images/create)|`g4f.Provider.BingCreateImages`|`❌|✔|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
-|[blackbox.ai](https://www.blackbox.ai)|`g4f.Provider.Blackbox`|`blackboxai, blackboxai-pro, gemini-flash, llama-3.1-8b, llama-3.1-70b, gpt-4o, gemini-pro, claude-3.5-sonnet`|`flux`|✔|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
+|[blackbox.ai](https://www.blackbox.ai)|`g4f.Provider.Blackbox`|`blackboxai, blackboxai-pro, gemini-flash, llama-3.1-8b, llama-3.1-70b, llama-3.1-405b, gpt-4o, gemini-pro, claude-3.5-sonnet`|`flux`|`blackboxai, gemini-flash, llama-3.1-8b, llama-3.1-70b, llama-3.1-405b, gpt-4o, gemini-pro`|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[chatgot.one](https://www.chatgot.one/)|`g4f.Provider.ChatGot`|`gemini-pro`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[chatgpt.com](https://chatgpt.com)|`g4f.Provider.ChatGpt`|`?`|`?`|`?`|?|![Unknown](https://img.shields.io/badge/Unknown-grey) |❌|
 |[chatgpt.es](https://chatgpt.es)|`g4f.Provider.ChatGptEs`|`gpt-4o, gpt-4o-mini`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
@@ -53,7 +53,7 @@ This document provides an overview of various AI providers and models, including
 |[free.netfly.top](https://free.netfly.top)|`g4f.Provider.FreeNetfly`|✔|❌|❌|?|![Disabled](https://img.shields.io/badge/Disabled-red)![Cloudflare](https://img.shields.io/badge/Cloudflare-f48d37)|❌|
 |[gemini.google.com](https://gemini.google.com)|`g4f.Provider.Gemini`|✔|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
 |[ai.google.dev](https://ai.google.dev)|`g4f.Provider.GeminiPro`|✔|❌|✔|?|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
-|[app.giz.ai](https://app.giz.ai/assistant/)|`g4f.Provider.GizAI`|`gemini-flash, gemini-pro, gpt-4o-mini, gpt-4o, claude-3.5-sonnet, claude-3-haiku, llama-3.1-70b, llama-3.1-8b, mistral-large`|`sdxl, sd-1.5, sd-3.5, dalle-3, flux-schnell, flux1-pro`|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
+|[app.giz.ai](https://app.giz.ai/assistant/)|`g4f.Provider.GizAI`|`gemini-flash`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[developers.sber.ru](https://developers.sber.ru/gigachat)|`g4f.Provider.GigaChat`|✔|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
 |[gprochat.com](https://gprochat.com)|`g4f.Provider.GPROChat`|`gemini-pro`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[console.groq.com/playground](https://console.groq.com/playground)|`g4f.Provider.Groq`|✔|❌|❌|?|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
@@ -112,8 +112,8 @@ This document provides an overview of various AI providers and models, including
 |gpt-4-turbo|OpenAI|3+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
 |gpt-4o|OpenAI|10+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o)|
 |gpt-4o-mini|OpenAI|14+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o-mini)|
-|o1|OpenAI|1+ Providers|[platform.openai.com](https://openai.com/index/introducing-openai-o1-preview/)|
-|o1-mini|OpenAI|2+ Providers|[platform.openai.com](https://openai.com/index/openai-o1-mini-advancing-cost-efficient-reasoning/)|
+|o1|OpenAI|0+ Providers|[platform.openai.com](https://openai.com/index/introducing-openai-o1-preview/)|
+|o1-mini|OpenAI|0+ Providers|[platform.openai.com](https://openai.com/index/openai-o1-mini-advancing-cost-efficient-reasoning/)|
 |llama-2-7b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-2-7b)|
 |llama-2-13b|Meta Llama|1+ Providers|[llama.com](https://www.llama.com/llama2/)|
 |llama-3-8b|Meta Llama|4+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3/)|
@@ -207,7 +207,6 @@ This document provides an overview of various AI providers and models, including
 |sdxl-turbo|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/stabilityai/sdxl-turbo)|
 |sd-1.5|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/runwayml/stable-diffusion-v1-5)|
 |sd-3|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_diffusion/stable_diffusion_3)|
-|sd-3.5|Stability AI|1+ Providers|[stability.ai](https://stability.ai/news/introducing-stable-diffusion-3-5)|
 |playground-v2.5|Playground AI|1+ Providers|[huggingface.co](https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic)|
 |flux|Black Forest Labs|2+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)|
 |flux-pro|Black Forest Labs|2+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)|
@@ -235,7 +234,7 @@ This document provides an overview of various AI providers and models, including
 ### Providers and vision models
 | Provider | Base Provider | | Vision Models | Status | Auth |
 |-------|---------------|-----------|---------|---------|---------|
-| `g4f.Provider.Blackbox` | Blackbox AI | | `blackboxai, blackboxai-pro, gemini-flash, llama-3.1-8b, llama-3.1-70b, gpt-4o, gemini-pro, claude-3.5-sonnet` | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
+| `g4f.Provider.Blackbox` | Blackbox AI | | `blackboxai, gemini-flash, llama-3.1-8b, llama-3.1-70b, llama-3.1-405b, gpt-4o, gemini-pro` | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
 
 ## Conclusion and Usage Tips
 This document provides a comprehensive overview of various AI providers and models available for text generation, image generation, and vision tasks. **When choosing a provider or model, consider the following factors:**

g4f/Provider/GizAI.py

@@ -1,62 +1,24 @@
 from __future__ import annotations
 
-import json
 from aiohttp import ClientSession
 
 from ..typing import AsyncResult, Messages
-from ..image import ImageResponse
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from .helper import format_prompt
 
+
 class GizAI(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://app.giz.ai/assistant/"
+    url = "https://app.giz.ai"
     api_endpoint = "https://app.giz.ai/api/data/users/inferenceServer.infer"
     working = True
-    
+    supports_stream = False
     supports_system_message = True
     supports_message_history = True
     
-    # Chat models
     default_model = 'chat-gemini-flash'
-    chat_models = [
-        default_model,
-        'chat-gemini-pro',
-        'chat-gpt4m',
-        'chat-gpt4',
-        'claude-sonnet',
-        'claude-haiku',
-        'llama-3-70b',
-        'llama-3-8b',
-        'mistral-large',
-        'chat-o1-mini'
-    ]
-
-    # Image models
-    image_models = [
-        'flux1',
-        'sdxl',
-        'sd',
-        'sd35',
-    ]
-
-    models = [*chat_models, *image_models]
+    models = [default_model]
     
-    model_aliases = {
-        # Chat model aliases
-        "gemini-flash": "chat-gemini-flash",
-        "gemini-pro": "chat-gemini-pro",
-        "gpt-4o-mini": "chat-gpt4m",
-        "gpt-4o": "chat-gpt4",
-        "claude-3.5-sonnet": "claude-sonnet",
-        "claude-3-haiku": "claude-haiku",
-        "llama-3.1-70b": "llama-3-70b",
-        "llama-3.1-8b": "llama-3-8b",
-        "o1-mini": "chat-o1-mini",
-        # Image model aliases
-        "sd-1.5": "sd",
-        "sd-3.5": "sd35",
-        "flux-schnell": "flux1",
-    }
+    model_aliases = {"gemini-flash": "chat-gemini-flash",}
 
     @classmethod
     def get_model(cls, model: str) -> str:
@@ -67,10 +29,6 @@ class GizAI(AsyncGeneratorProvider, ProviderModelMixin):
         else:
             return cls.default_model
 
-    @classmethod
-    def is_image_model(cls, model: str) -> bool:
-        return model in cls.image_models
-
     @classmethod
     async def create_async_generator(
         cls,
@@ -87,7 +45,8 @@ class GizAI(AsyncGeneratorProvider, ProviderModelMixin):
             'Cache-Control': 'no-cache',
             'Connection': 'keep-alive',
             'Content-Type': 'application/json',
-            'Origin': 'https://app.giz.ai',
+            'DNT': '1',
+            'Origin': cls.url,
             'Pragma': 'no-cache',
             'Sec-Fetch-Dest': 'empty',
             'Sec-Fetch-Mode': 'cors',
@@ -97,55 +56,16 @@ class GizAI(AsyncGeneratorProvider, ProviderModelMixin):
             'sec-ch-ua-mobile': '?0',
             'sec-ch-ua-platform': '"Linux"'
         }
-
-        async with ClientSession() as session:
-            if cls.is_image_model(model):
-                # Image generation
-                prompt = messages[-1]["content"]
-                data = {
-                    "model": model,
-                    "input": {
-                        "width": "1024",
-                        "height": "1024",
-                        "steps": 4,
-                        "output_format": "webp",
-                        "batch_size": 1,
-                        "mode": "plan",
-                        "prompt": prompt
-                    }
-                }
-                async with session.post(
-                    cls.api_endpoint,
-                    headers=headers,
-                    data=json.dumps(data),
-                    proxy=proxy
-                ) as response:
-                    response.raise_for_status()
-                    response_data = await response.json()
-                    if response_data.get('status') == 'completed' and response_data.get('output'):
-                        for url in response_data['output']:
-                            yield ImageResponse(images=url, alt="Generated Image")
-            else:
-                # Chat completion
-                data = {
-                    "model": model,
-                    "input": {
-                        "messages": [
-                            {
-                                "type": "human",
-                                "content": format_prompt(messages)
-                            }
-                        ],
-                        "mode": "plan"
-                    },
-                    "noStream": True
-                }
-                async with session.post(
-                    cls.api_endpoint,
-                    headers=headers,
-                    data=json.dumps(data),
-                    proxy=proxy
-                ) as response:
-                    response.raise_for_status()
-                    result = await response.json()
-                    yield result.get('output', '')
+        async with ClientSession(headers=headers) as session:
+            data = {
+                "model": model,
+                "input": {
+                    "messages": messages,
+                    "mode": "plan"
+                },
+                "noStream": True
+            }
+            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                result = await response.json()
+                yield result['output'].strip()

g4f/models.py

@@ -137,13 +137,13 @@ gpt_35_turbo = Model(
 gpt_4o = Model(
     name          = 'gpt-4o',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([NexraChatGPT, Blackbox, ChatGptEs, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
+    best_provider = IterListProvider([Blackbox, ChatGptEs, DarkAI, Editee, NexraChatGPT, Airforce, Liaobots, OpenaiChat])
 )
 
 gpt_4o_mini = Model(
     name          = 'gpt-4o-mini',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, RubiksAI, Liaobots, Airforce, GizAI, ChatgptFree, Koala, OpenaiChat, ChatGpt])
+    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, RubiksAI, Liaobots, Airforce, ChatgptFree, Koala, OpenaiChat, ChatGpt])
 )
 
 gpt_4_turbo = Model(
@@ -168,7 +168,7 @@ o1 = Model(
 o1_mini = Model(
     name          = 'o1-mini',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([GizAI])
+    best_provider = None
 )
 
 
@@ -217,13 +217,13 @@ llama_3_70b = Model(
 llama_3_1_8b = Model(
     name          = "llama-3.1-8b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, GizAI, Airforce, PerplexityLabs])
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, PerplexityLabs])
 )
 
 llama_3_1_70b = Model(
     name          = "llama-3.1-70b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, AiMathGPT, RubiksAI, GizAI, Airforce, HuggingFace, PerplexityLabs])
+    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, AiMathGPT, RubiksAI, Airforce, HuggingFace, PerplexityLabs])
 )
 
 llama_3_1_405b = Model(
@@ -312,7 +312,7 @@ mistral_nemo = Model(
 mistral_large = Model(
     name          = "mistral-large",
     base_provider = "Mistral",
-    best_provider = IterListProvider([Editee, GizAI])
+    best_provider = IterListProvider([Editee])
 )
 
 
@@ -360,7 +360,7 @@ phi_3_5_mini = Model(
 gemini_pro = Model(
     name          = 'gemini-pro',
     base_provider = 'Google DeepMind',
-    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, Editee, GizAI, Airforce, Liaobots])
+    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, Editee, Airforce, Liaobots])
 )
 
 gemini_flash = Model(
@@ -431,14 +431,14 @@ claude_3_sonnet = Model(
 claude_3_haiku = Model(
     name          = 'claude-3-haiku',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([DDG, GizAI, Liaobots])
+    best_provider = IterListProvider([DDG, Liaobots])
 )
 
 # claude 3.5
 claude_3_5_sonnet = Model(
     name          = 'claude-3.5-sonnet',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Blackbox, Editee, GizAI, Liaobots])
+    best_provider = IterListProvider([Blackbox, Editee, Liaobots])
 )
 
 
@@ -777,7 +777,7 @@ sdxl = Model(
 sd_1_5 = Model(
     name = 'sd-1.5',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([NexraSD15, GizAI])
+    best_provider = IterListProvider([NexraSD15])
     
 )
 
@@ -788,13 +788,6 @@ sd_3 = Model(
     
 )
 
-sd_3_5 = Model(
-    name = 'sd-3.5',
-    base_provider = 'Stability AI',
-    best_provider = GizAI
-    
-)
-
 ### Playground ###
 playground_v2_5 = Model(
     name = 'playground-v2.5',
@@ -864,7 +857,7 @@ flux_4o = Model(
 flux_schnell = Model(
     name = 'flux-schnell',
     base_provider = 'Flux AI',
-    best_provider = IterListProvider([ReplicateHome, GizAI])
+    best_provider = IterListProvider([ReplicateHome])
     
 )
 
@@ -1156,7 +1149,6 @@ class ModelUtils:
 'sdxl-turbo': sdxl_turbo,
 'sd-1.5': sd_1_5,
 'sd-3': sd_3,
-'sd-3.5': sd_3_5,
         
         
 ### Playground ###