Add audio transcribing example and support

Add Grok Chat provider Rename images parameter to media Update demo homepage
2025-10-05 16:26:57 +08:00 · 2025-03-21 03:17:45 +01:00
parent 10d32a4c5f
commit c97ba0c88e
36 changed files with 407 additions and 300 deletions
--- a/docs/async_client.md
+++ b/docs/async_client.md
@@ -19,6 +19,7 @@ The G4F AsyncClient API is designed to be compatible with the OpenAI API, making
   - [Text Completions](#text-completions)
   - [Streaming Completions](#streaming-completions)
   - [Using a Vision Model](#using-a-vision-model)
+   - **[Transcribing Audio with Chat Completions](#transcribing-audio-with-chat-completions)** *(New Section)*
   - [Image Generation](#image-generation)
   - [Advanced Usage](#advanced-usage)
   - [Conversation Memory](#conversation-memory)
@@ -203,6 +204,54 @@ async def main():
 asyncio.run(main())
 ```

+---
+
+### Transcribing Audio with Chat Completions
+
+Some providers in G4F support audio inputs in chat completions, allowing you to transcribe audio files by instructing the model accordingly. This example demonstrates how to use the `AsyncClient` to transcribe an audio file asynchronously:
+
+```python
+import asyncio
+from g4f.client import AsyncClient
+import g4f.Provider
+import g4f.models
+
+async def main():
+    client = AsyncClient(provider=g4f.Provider.PollinationsAI)  # or g4f.Provider.Microsoft_Phi_4
+
+    with open("audio.wav", "rb") as audio_file:
+        response = await client.chat.completions.create(
+            model=g4f.models.default,
+            messages=[{"role": "user", "content": "Transcribe this audio"}],
+            media=[[audio_file, "audio.wav"]],
+            modalities=["text"],
+        )
+
+    print(response.choices[0].message.content)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+#### Explanation
+- **Client Initialization**: An `AsyncClient` instance is created with a provider that supports audio inputs, such as `PollinationsAI` or `Microsoft_Phi_4`.
+- **File Handling**: The audio file (`audio.wav`) is opened in binary read mode (`"rb"`) using a context manager (`with` statement) to ensure proper file closure after use.
+- **API Call**: The `chat.completions.create` method is called with:
+  - `model=g4f.models.default`: Uses the default model for the selected provider.
+  - `messages`: A list containing a user message instructing the model to transcribe the audio.
+  - `media`: A list of lists, where each inner list contains the file object and its name (`[[audio_file, "audio.wav"]]`).
+  - `modalities=["text"]`: Specifies that the output should be text (the transcription).
+- **Response**: The transcription is extracted from `response.choices[0].message.content` and printed.
+
+#### Notes
+- **Provider Support**: Ensure the chosen provider (e.g., `PollinationsAI` or `Microsoft_Phi_4`) supports audio inputs in chat completions. Not all providers may offer this functionality.
+- **File Path**: Replace `"audio.wav"` with the path to your own audio file. The file format (e.g., WAV) should be compatible with the provider.
+- **Model Selection**: If `g4f.models.default` does not support audio transcription, you may need to specify a model that does (consult the provider's documentation for supported models).
+
+This example complements the guide by showcasing how to handle audio inputs asynchronously, expanding on the multimodal capabilities of the G4F AsyncClient API.
+
+---
+
 ### Image Generation
 **The `response_format` parameter is optional and can have the following values:**
 - **If not specified (default):** The image will be saved locally, and a local path will be returned (e.g., "/images/1733331238_cf9d6aa9-f606-4fea-ba4b-f06576cba309.jpg").
--- a/etc/unittest/models.py
+++ b/etc/unittest/models.py
@@ -6,10 +6,10 @@ from g4f.models import __models__
 from g4f.providers.base_provider import BaseProvider, ProviderModelMixin
 from g4f.errors import MissingRequirementsError, MissingAuthError

-class TestProviderHasModel(unittest.IsolatedAsyncioTestCase):
+class TestProviderHasModel(unittest.TestCase):
    cache: dict = {}

-    async def test_provider_has_model(self):
+    def test_provider_has_model(self):
        for model, providers in __models__.values():
            for provider in providers:
                if issubclass(provider, ProviderModelMixin):
@@ -17,9 +17,9 @@ class TestProviderHasModel(unittest.IsolatedAsyncioTestCase):
                        model_name = provider.model_aliases[model.name]
                    else:
                        model_name = model.name
-                    await asyncio.wait_for(self.provider_has_model(provider, model_name), 10)
+                    self.provider_has_model(provider, model_name)

-    async def provider_has_model(self, provider: Type[BaseProvider], model: str):
+    def provider_has_model(self, provider: Type[BaseProvider], model: str):
        if provider.__name__ not in self.cache:
            try:
                self.cache[provider.__name__] = provider.get_models()
@@ -28,7 +28,7 @@ class TestProviderHasModel(unittest.IsolatedAsyncioTestCase):
        if self.cache[provider.__name__]:
            self.assertIn(model, self.cache[provider.__name__], provider.__name__)

-    async def test_all_providers_working(self):
+    def test_all_providers_working(self):
        for model, providers in __models__.values():
            for provider in providers:
                self.assertTrue(provider.working, f"{provider.__name__} in {model.name}")
--- a/g4f/Provider/AllenAI.py
+++ b/g4f/Provider/AllenAI.py
@@ -48,7 +48,7 @@ class AllenAI(AsyncGeneratorProvider, ProviderModelMixin):
        "olmo-2-13b": "OLMo-2-1124-13B-Instruct",
        "tulu-3-1-8b": "tulu-3-1-8b",
        "tulu-3-70b": "Llama-3-1-Tulu-3-70B",
-        "llama-3.1-405b": "tulu-3-405b",
+        "llama-3.1-405b": "tulu3-405b",
        "llama-3.1-8b": "tulu-3-1-8b",
        "llama-3.1-70b": "Llama-3-1-Tulu-3-70B",
    }
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -11,7 +11,7 @@ from pathlib import Path
 from typing import Optional
 from datetime import datetime, timedelta

-from ..typing import AsyncResult, Messages, ImagesType
+from ..typing import AsyncResult, Messages, MediaListType
 from ..requests.raise_for_status import raise_for_status
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..image import to_data_uri
@@ -444,7 +444,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
        messages: Messages,
        prompt: str = None,
        proxy: str = None,
-        images: ImagesType = None,
+        media: MediaListType = None,
        top_p: float = None,
        temperature: float = None,
        max_tokens: int = None,
@@ -479,14 +479,14 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
                }
                current_messages.append(current_msg)

-            if images is not None:
+            if media is not None:
                current_messages[-1]['data'] = {
                    "imagesData": [
                        {
                            "filePath": f"/{image_name}",
                            "contents": to_data_uri(image)
                        }
-                        for image, image_name in images
+                        for image, image_name in media
                    ],
                    "fileText": "",
                    "title": ""
--- a/g4f/Provider/Copilot.py
+++ b/g4f/Provider/Copilot.py
@@ -21,7 +21,7 @@ except ImportError:
 from .base_provider import AbstractProvider, ProviderModelMixin
 from .helper import format_prompt_max_length
 from .openai.har_file import get_headers, get_har_files
-from ..typing import CreateResult, Messages, ImagesType
+from ..typing import CreateResult, Messages, MediaListType
 from ..errors import MissingRequirementsError, NoValidHarFileError, MissingAuthError
 from ..requests.raise_for_status import raise_for_status
 from ..providers.response import BaseConversation, JsonConversation, RequestLogin, Parameters, ImageResponse
@@ -66,7 +66,7 @@ class Copilot(AbstractProvider, ProviderModelMixin):
        proxy: str = None,
        timeout: int = 900,
        prompt: str = None,
-        images: ImagesType = None,
+        media: MediaListType = None,
        conversation: BaseConversation = None,
        return_conversation: bool = False,
        api_key: str = None,
@@ -77,7 +77,7 @@ class Copilot(AbstractProvider, ProviderModelMixin):

        websocket_url = cls.websocket_url
        headers = None
-        if cls.needs_auth or images is not None:
+        if cls.needs_auth or media is not None:
            if api_key is not None:
                cls._access_token = api_key
            if cls._access_token is None:
@@ -142,8 +142,8 @@ class Copilot(AbstractProvider, ProviderModelMixin):
                debug.log(f"Copilot: Use conversation: {conversation_id}")

            uploaded_images = []
-            if images is not None:
-                for image, _ in images:
+            if media is not None:
+                for image, _ in media:
                    data = to_bytes(image)
                    response = session.post(
                        "https://copilot.microsoft.com/c/api/attachments",
--- a/g4f/Provider/DDG.py
+++ b/g4f/Provider/DDG.py
@@ -30,7 +30,7 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
    api_endpoint = "https://duckduckgo.com/duckchat/v1/chat"
    status_url = "https://duckduckgo.com/duckchat/v1/status"
    
-    working = True
+    working = False
    supports_stream = True
    supports_system_message = True
    supports_message_history = True
--- a/g4f/Provider/DeepInfraChat.py
+++ b/g4f/Provider/DeepInfraChat.py
@@ -1,6 +1,6 @@
 from __future__ import annotations

-from ..typing import AsyncResult, Messages, ImagesType
+from ..typing import AsyncResult, Messages, MediaListType
 from .template import OpenaiTemplate
 from ..image import to_data_uri

@@ -70,7 +70,6 @@ class DeepInfraChat(OpenaiTemplate):
        temperature: float = 0.7,
        max_tokens: int = None,
        headers: dict = {},
-        images: ImagesType = None,
        **kwargs
    ) -> AsyncResult:
        headers = {
@@ -82,23 +81,6 @@ class DeepInfraChat(OpenaiTemplate):
            **headers
        }

-        if images is not None:
-            if not model or model not in cls.models:
-                model = cls.default_vision_model
-            if messages:
-                last_message = messages[-1].copy()
-                last_message["content"] = [
-                    *[{
-                        "type": "image_url",
-                        "image_url": {"url": to_data_uri(image)}
-                    } for image, _ in images],
-                    {
-                        "type": "text",
-                        "text": last_message["content"]
-                    }
-                ]
-                messages[-1] = last_message
-
        async for chunk in super().create_async_generator(
            model,
            messages,
--- a/g4f/Provider/Dynaspark.py
+++ b/g4f/Provider/Dynaspark.py
@@ -3,13 +3,12 @@ from __future__ import annotations
 import json
 from aiohttp import ClientSession, FormData

-from ..typing import AsyncResult, Messages, ImagesType
+from ..typing import AsyncResult, Messages, MediaListType
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..requests.raise_for_status import raise_for_status
-from ..image import to_data_uri, to_bytes, is_accepted_format
+from ..image import to_bytes, is_accepted_format
 from .helper import format_prompt

-
 class Dynaspark(AsyncGeneratorProvider, ProviderModelMixin):
    url = "https://dynaspark.onrender.com"
    login_url = None
@@ -38,7 +37,7 @@ class Dynaspark(AsyncGeneratorProvider, ProviderModelMixin):
        model: str,
        messages: Messages,
        proxy: str = None,
-        images: ImagesType = None,
+        media: MediaListType = None,
        **kwargs
    ) -> AsyncResult:
        headers = {
@@ -49,14 +48,13 @@ class Dynaspark(AsyncGeneratorProvider, ProviderModelMixin):
            'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36',
            'x-requested-with': 'XMLHttpRequest'
        }
-        
        async with ClientSession(headers=headers) as session:
            form = FormData()
            form.add_field('user_input', format_prompt(messages))
            form.add_field('ai_model', model)

-            if images is not None and len(images) > 0:
-                image, image_name = images[0]
+            if media is not None and len(media) > 0:
+                image, image_name = media[0]
                image_bytes = to_bytes(image)
                form.add_field('file', image_bytes, filename=image_name, content_type=is_accepted_format(image_bytes))

--- a/g4f/Provider/LambdaChat.py
+++ b/g4f/Provider/LambdaChat.py
@@ -14,6 +14,7 @@ class LambdaChat(HuggingChat):
    default_model = "deepseek-llama3.3-70b"
    reasoning_model = "deepseek-r1"
    image_models = []
+    models = []
    fallback_models = [
        default_model,
        reasoning_model,
--- a/g4f/Provider/PollinationsAI.py
+++ b/g4f/Provider/PollinationsAI.py
@@ -9,8 +9,8 @@ from aiohttp import ClientSession

 from .helper import filter_none, format_image_prompt
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..typing import AsyncResult, Messages, ImagesType
-from ..image import to_data_uri
+from ..typing import AsyncResult, Messages, MediaListType
+from ..image import to_data_uri, is_data_an_audio, to_input_audio
 from ..errors import ModelNotFoundError
 from ..requests.raise_for_status import raise_for_status
 from ..requests.aiohttp import get_connector
@@ -146,17 +146,24 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
        enhance: bool = False,
        safe: bool = False,
        # Text generation parameters
-        images: ImagesType = None,
+        media: MediaListType = None,
        temperature: float = None,
        presence_penalty: float = None,
        top_p: float = 1,
        frequency_penalty: float = None,
        response_format: Optional[dict] = None,
-        extra_parameters: list[str] = ["tools", "parallel_tool_calls", "tool_choice", "reasoning_effort", "logit_bias", "voice"],
+        extra_parameters: list[str] = ["tools", "parallel_tool_calls", "tool_choice", "reasoning_effort", "logit_bias", "voice", "modalities"],
        **kwargs
    ) -> AsyncResult:
        # Load model list
        cls.get_models()
+        if not model and media is not None:
+            has_audio = False
+            for media_data, filename in media:
+                if is_data_an_audio(media_data, filename):
+                    has_audio = True
+                    break
+            model = next(iter(cls.audio_models)) if has_audio else cls.default_vision_model
        try:
            model = cls.get_model(model)
        except ModelNotFoundError:
@@ -182,7 +189,7 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
            async for result in cls._generate_text(
                model=model,
                messages=messages,
-                images=images,
+                media=media,
                proxy=proxy,
                temperature=temperature,
                presence_penalty=presence_penalty,
@@ -239,7 +246,7 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
        cls,
        model: str,
        messages: Messages,
-        images: Optional[ImagesType],
+        media: MediaListType,
        proxy: str,
        temperature: float,
        presence_penalty: float,
@@ -258,14 +265,18 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
        if response_format and response_format.get("type") == "json_object":
            json_mode = True

-        if images and messages:
+        if media and messages:
            last_message = messages[-1].copy()
            image_content = [
                {
-                    "type": "image_url",
-                    "image_url": {"url": to_data_uri(image)}
+                    "type": "input_audio",
+                    "input_audio": to_input_audio(media_data, filename)
                }
-                for image, _ in images
+                if is_data_an_audio(media_data, filename) else {
+                    "type": "image_url",
+                    "image_url": {"url": to_data_uri(media_data)}
+                }
+                for media_data, filename in media
            ]
            last_message["content"] = image_content + [{"type": "text", "text": last_message["content"]}]
            messages[-1] = last_message
--- a/g4f/Provider/hf/HuggingChat.py
+++ b/g4f/Provider/hf/HuggingChat.py
@@ -17,7 +17,7 @@ except ImportError:

 from ..base_provider import ProviderModelMixin, AsyncAuthedProvider, AuthResult
 from ..helper import format_prompt, format_image_prompt, get_last_user_message
-from ...typing import AsyncResult, Messages, Cookies, ImagesType
+from ...typing import AsyncResult, Messages, Cookies, MediaListType
 from ...errors import MissingRequirementsError, MissingAuthError, ResponseError
 from ...image import to_bytes
 from ...requests import get_args_from_nodriver, DEFAULT_HEADERS
@@ -99,7 +99,7 @@ class HuggingChat(AsyncAuthedProvider, ProviderModelMixin):
        messages: Messages,
        auth_result: AuthResult,
        prompt: str = None,
-        images: ImagesType = None,
+        media: MediaListType = None,
        return_conversation: bool = False,
        conversation: Conversation = None,
        web_search: bool = False,
@@ -108,7 +108,7 @@ class HuggingChat(AsyncAuthedProvider, ProviderModelMixin):
        if not has_curl_cffi:
            raise MissingRequirementsError('Install "curl_cffi" package | pip install -U curl_cffi')
        if model == llama_models["name"]:
-            model = llama_models["text"] if images is None else llama_models["vision"]
+            model = llama_models["text"] if media is None else llama_models["vision"]
        model = cls.get_model(model)

        session = Session(**auth_result.get_dict())
@@ -145,8 +145,8 @@ class HuggingChat(AsyncAuthedProvider, ProviderModelMixin):
        }
        data = CurlMime()
        data.addpart('data', data=json.dumps(settings, separators=(',', ':')))
-        if images is not None:
-            for image, filename in images:
+        if media is not None:
+            for image, filename in media:
                data.addpart(
                    "files",
                    filename=f"base64;{filename}",
--- a/g4f/Provider/hf/HuggingFaceAPI.py
+++ b/g4f/Provider/hf/HuggingFaceAPI.py
@@ -3,7 +3,7 @@ from __future__ import annotations
 import requests

 from ...providers.types import Messages
-from ...typing import ImagesType
+from ...typing import MediaListType
 from ...requests import StreamSession, raise_for_status
 from ...errors import ModelNotSupportedError
 from ...providers.helper import get_last_user_message
@@ -75,11 +75,11 @@ class HuggingFaceAPI(OpenaiTemplate):
        api_key: str = None,
        max_tokens: int = 2048,
        max_inputs_lenght: int = 10000,
-        images: ImagesType = None,
+        media: MediaListType = None,
        **kwargs
    ):
        if model == llama_models["name"]:
-            model = llama_models["text"] if images is None else llama_models["vision"]
+            model = llama_models["text"] if media is None else llama_models["vision"]
        if model in cls.model_aliases:
            model = cls.model_aliases[model]
        provider_mapping = await cls.get_mapping(model, api_key)
@@ -103,7 +103,7 @@ class HuggingFaceAPI(OpenaiTemplate):
                if len(messages) > 1 and calculate_lenght(messages) > max_inputs_lenght:
                    messages = last_user_message
            debug.log(f"Messages trimmed from: {start} to: {calculate_lenght(messages)}")
-        async for chunk in super().create_async_generator(model, messages, api_base=api_base, api_key=api_key, max_tokens=max_tokens, images=images, **kwargs):
+        async for chunk in super().create_async_generator(model, messages, api_base=api_base, api_key=api_key, max_tokens=max_tokens, media=media, **kwargs):
            yield chunk

 def calculate_lenght(messages: Messages) -> int:
--- a/g4f/Provider/hf_space/DeepseekAI_JanusPro7b.py
+++ b/g4f/Provider/hf_space/DeepseekAI_JanusPro7b.py
@@ -7,7 +7,7 @@ import random
 from datetime import datetime, timezone, timedelta
 import urllib.parse

-from ...typing import AsyncResult, Messages, Cookies, ImagesType
+from ...typing import AsyncResult, Messages, Cookies, MediaListType
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..helper import format_prompt, format_image_prompt
 from ...providers.response import JsonConversation, ImageResponse, Reasoning
@@ -68,7 +68,7 @@ class DeepseekAI_JanusPro7b(AsyncGeneratorProvider, ProviderModelMixin):
        cls,
        model: str,
        messages: Messages,
-        images: ImagesType = None,
+        media: MediaListType = None,
        prompt: str = None,
        proxy: str = None,
        cookies: Cookies = None,
@@ -98,27 +98,27 @@ class DeepseekAI_JanusPro7b(AsyncGeneratorProvider, ProviderModelMixin):
            if return_conversation:
                yield conversation

-            if images is not None:
+            if media is not None:
                data = FormData()
-                for i in range(len(images)):
-                    images[i] = (to_bytes(images[i][0]), images[i][1])
-                for image, image_name in images:
+                for i in range(len(media)):
+                    media[i] = (to_bytes(media[i][0]), media[i][1])
+                for image, image_name in media:
                    data.add_field(f"files", image, filename=image_name)
                async with session.post(f"{cls.api_url}/gradio_api/upload", params={"upload_id": session_hash}, data=data) as response:
                    await raise_for_status(response)
                    image_files = await response.json()
-                images = [{
+                media = [{
                    "path": image_file,
                    "url": f"{cls.api_url}/gradio_api/file={image_file}",
-                    "orig_name": images[i][1],
-                    "size": len(images[i][0]),
-                    "mime_type": is_accepted_format(images[i][0]),
+                    "orig_name": media[i][1],
+                    "size": len(media[i][0]),
+                    "mime_type": is_accepted_format(media[i][0]),
                    "meta": {
                        "_type": "gradio.FileData"
                    }
                } for i, image_file in enumerate(image_files)]

-            async with cls.run(method, session, prompt, conversation, None if images is None else images.pop(), seed) as response:
+            async with cls.run(method, session, prompt, conversation, None if media is None else media.pop(), seed) as response:
                await raise_for_status(response)

            async with cls.run("get", session, prompt, conversation, None, seed) as response:
--- a/g4f/Provider/hf_space/Microsoft_Phi_4.py
+++ b/g4f/Provider/hf_space/Microsoft_Phi_4.py
@@ -3,13 +3,13 @@ from __future__ import annotations
 import json
 import uuid

-from ...typing import AsyncResult, Messages, Cookies, ImagesType
+from ...typing import AsyncResult, Messages, Cookies, MediaListType
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..helper import format_prompt, format_image_prompt
 from ...providers.response import JsonConversation
 from ...requests.aiohttp import StreamSession, StreamResponse, FormData
 from ...requests.raise_for_status import raise_for_status
-from ...image import to_bytes, is_accepted_format, is_data_an_wav
+from ...image import to_bytes, is_accepted_format, is_data_an_audio
 from ...errors import ResponseError
 from ... import debug
 from .DeepseekAI_JanusPro7b import get_zerogpu_token
@@ -32,7 +32,7 @@ class Microsoft_Phi_4(AsyncGeneratorProvider, ProviderModelMixin):
    models = [default_model]

    @classmethod
-    def run(cls, method: str, session: StreamSession, prompt: str, conversation: JsonConversation, images: list = None):
+    def run(cls, method: str, session: StreamSession, prompt: str, conversation: JsonConversation, media: list = None):
            headers = {
                "content-type": "application/json",
                "x-zerogpu-token": conversation.zerogpu_token,
@@ -47,7 +47,7 @@ class Microsoft_Phi_4(AsyncGeneratorProvider, ProviderModelMixin):
                            [],
                            {
                                "text": prompt,
-                                "files": images,
+                                "files": media,
                            },
                            None
                        ],
@@ -70,7 +70,7 @@ class Microsoft_Phi_4(AsyncGeneratorProvider, ProviderModelMixin):
                                {
                                    "role": "user",
                                    "content": {"file": image}
-                                } for image in images
+                                } for image in media
                            ]],
                        "event_data": None,
                        "fn_index": 11,
@@ -91,7 +91,7 @@ class Microsoft_Phi_4(AsyncGeneratorProvider, ProviderModelMixin):
        cls,
        model: str,
        messages: Messages,
-        images: ImagesType = None,
+        media: MediaListType = None,
        prompt: str = None,
        proxy: str = None,
        cookies: Cookies = None,
@@ -115,23 +115,23 @@ class Microsoft_Phi_4(AsyncGeneratorProvider, ProviderModelMixin):
            if return_conversation:
                yield conversation

-            if images is not None:
+            if media is not None:
                data = FormData()
-                mime_types = [None for i in range(len(images))]
-                for i in range(len(images)):
-                    mime_types[i] = is_data_an_wav(images[i][0], images[i][1])
-                    images[i] = (to_bytes(images[i][0]), images[i][1])
-                    mime_types[i] = is_accepted_format(images[i][0]) if mime_types[i] is None else mime_types[i]
-                for image, image_name in images:
+                mime_types = [None for i in range(len(media))]
+                for i in range(len(media)):
+                    mime_types[i] = is_data_an_audio(media[i][0], media[i][1])
+                    media[i] = (to_bytes(media[i][0]), media[i][1])
+                    mime_types[i] = is_accepted_format(media[i][0]) if mime_types[i] is None else mime_types[i]
+                for image, image_name in media:
                    data.add_field(f"files", to_bytes(image), filename=image_name)
                async with session.post(f"{cls.api_url}/gradio_api/upload", params={"upload_id": session_hash}, data=data) as response:
                    await raise_for_status(response)
                    image_files = await response.json()
-                images = [{
+                media = [{
                    "path": image_file,
                    "url": f"{cls.api_url}/gradio_api/file={image_file}",
-                    "orig_name": images[i][1],
-                    "size": len(images[i][0]),
+                    "orig_name": media[i][1],
+                    "size": len(media[i][0]),
                    "mime_type": mime_types[i],
                    "meta": {
                        "_type": "gradio.FileData"
@@ -139,10 +139,10 @@ class Microsoft_Phi_4(AsyncGeneratorProvider, ProviderModelMixin):
                } for i, image_file in enumerate(image_files)]
            
            
-            async with cls.run("predict", session, prompt, conversation, images) as response:
+            async with cls.run("predict", session, prompt, conversation, media) as response:
                await raise_for_status(response)

-            async with cls.run("post", session, prompt, conversation, images) as response:
+            async with cls.run("post", session, prompt, conversation, media) as response:
                await raise_for_status(response)

            async with cls.run("get", session, prompt, conversation) as response:
--- a/g4f/Provider/hf_space/Qwen_QVQ_72B.py
+++ b/g4f/Provider/hf_space/Qwen_QVQ_72B.py
@@ -3,7 +3,7 @@ from __future__ import annotations
 import json
 from aiohttp import ClientSession, FormData

-from ...typing import AsyncResult, Messages, ImagesType
+from ...typing import AsyncResult, Messages, MediaListType
 from ...requests import raise_for_status
 from ...errors import ResponseError
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
@@ -25,7 +25,7 @@ class Qwen_QVQ_72B(AsyncGeneratorProvider, ProviderModelMixin):
    @classmethod
    async def create_async_generator(
        cls, model: str, messages: Messages,
-        images: ImagesType = None,
+        media: MediaListType = None,
        api_key: str = None, 
        proxy: str = None,
        **kwargs
@@ -36,10 +36,10 @@ class Qwen_QVQ_72B(AsyncGeneratorProvider, ProviderModelMixin):
        if api_key is not None:
            headers["Authorization"] = f"Bearer {api_key}"
        async with ClientSession(headers=headers) as session:
-            if images:
+            if media:
                data = FormData()
-                data_bytes = to_bytes(images[0][0])
-                data.add_field("files", data_bytes, content_type=is_accepted_format(data_bytes), filename=images[0][1])
+                data_bytes = to_bytes(media[0][0])
+                data.add_field("files", data_bytes, content_type=is_accepted_format(data_bytes), filename=media[0][1])
                url = f"{cls.url}/gradio_api/upload?upload_id={get_random_string()}"
                async with session.post(url, data=data, proxy=proxy) as response:
                    await raise_for_status(response)
--- a/g4f/Provider/hf_space/init.py
+++ b/g4f/Provider/hf_space/init.py
@@ -2,7 +2,7 @@ from __future__ import annotations

 import random

-from ...typing import AsyncResult, Messages, ImagesType
+from ...typing import AsyncResult, Messages, MediaListType
 from ...errors import ResponseError
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin

@@ -67,15 +67,15 @@ class HuggingSpace(AsyncGeneratorProvider, ProviderModelMixin):

    @classmethod
    async def create_async_generator(
-        cls, model: str, messages: Messages, images: ImagesType = None, **kwargs
+        cls, model: str, messages: Messages, media: MediaListType = None, **kwargs
    ) -> AsyncResult:
-        if not model and images is not None:
+        if not model and media is not None:
            model = cls.default_vision_model
        is_started = False
        random.shuffle(cls.providers)
        for provider in cls.providers:
            if model in provider.model_aliases:
-                async for chunk in provider.create_async_generator(provider.model_aliases[model], messages, images=images, **kwargs):
+                async for chunk in provider.create_async_generator(provider.model_aliases[model], messages, media=media, **kwargs):
                    is_started = True
                    yield chunk
            if is_started:
--- a/g4f/Provider/needs_auth/Anthropic.py
+++ b/g4f/Provider/needs_auth/Anthropic.py
@@ -6,7 +6,7 @@ import base64
 from typing import Optional

 from ..helper import filter_none
-from ...typing import AsyncResult, Messages, ImagesType
+from ...typing import AsyncResult, Messages, MediaListType
 from ...requests import StreamSession, raise_for_status
 from ...providers.response import FinishReason, ToolCalls, Usage
 from ...errors import MissingAuthError
@@ -62,7 +62,7 @@ class Anthropic(OpenaiAPI):
        messages: Messages,
        proxy: str = None,
        timeout: int = 120,
-        images: ImagesType = None,
+        media: MediaListType = None,
        api_key: str = None,
        temperature: float = None,
        max_tokens: int = 4096,
@@ -79,9 +79,9 @@ class Anthropic(OpenaiAPI):
        if api_key is None:
            raise MissingAuthError('Add a "api_key"')

-        if images is not None:
+        if media is not None:
            insert_images = []
-            for image, _ in images:
+            for image, _ in media:
                data = to_bytes(image)
                insert_images.append({
                    "type": "image",
--- a/g4f/Provider/needs_auth/Gemini.py
+++ b/g4f/Provider/needs_auth/Gemini.py
@@ -19,7 +19,7 @@ except ImportError:
    has_nodriver = False

 from ... import debug
-from ...typing import Messages, Cookies, ImagesType, AsyncResult, AsyncIterator
+from ...typing import Messages, Cookies, MediaListType, AsyncResult, AsyncIterator
 from ...providers.response import JsonConversation, Reasoning, RequestLogin, ImageResponse, YouTube
 from ...requests.raise_for_status import raise_for_status
 from ...requests.aiohttp import get_connector
@@ -149,7 +149,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
        proxy: str = None,
        cookies: Cookies = None,
        connector: BaseConnector = None,
-        images: ImagesType = None,
+        media: MediaListType = None,
        return_conversation: bool = False,
        conversation: Conversation = None,
        language: str = "en",
@@ -186,7 +186,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
                        cls.start_auto_refresh()
                    )

-            images = await cls.upload_images(base_connector, images) if images else None
+            uploads = None if media is None else await cls.upload_images(base_connector, media)
            async with ClientSession(
                cookies=cls._cookies,
                headers=REQUEST_HEADERS,
@@ -205,7 +205,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
                        prompt,
                        language=language,
                        conversation=conversation,
-                        images=images
+                        uploads=uploads
                    ))])
                }
                async with client.post(
@@ -327,10 +327,10 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
        prompt: str,
        language: str,
        conversation: Conversation = None,
-        images: list[list[str, str]] = None,
+        uploads: list[list[str, str]] = None,
        tools: list[list[str]] = []
    ) -> list:
-        image_list = [[[image_url, 1], image_name] for image_url, image_name in images] if images else []
+        image_list = [[[image_url, 1], image_name] for image_url, image_name in uploads] if uploads else []
        return [
            [prompt, 0, None, image_list, None, None, 0],
            [language],
@@ -353,7 +353,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
            0,
        ]

-    async def upload_images(connector: BaseConnector, images: ImagesType) -> list:
+    async def upload_images(connector: BaseConnector, media: MediaListType) -> list:
        async def upload_image(image: bytes, image_name: str = None):
            async with ClientSession(
                headers=UPLOAD_IMAGE_HEADERS,
@@ -385,7 +385,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
                ) as response:
                    await raise_for_status(response)
                    return [await response.text(), image_name]
-        return await asyncio.gather(*[upload_image(image, image_name) for image, image_name in images])
+        return await asyncio.gather(*[upload_image(image, image_name) for image, image_name in media])

    @classmethod
    async def fetch_snlm0e(cls, session: ClientSession, cookies: Cookies):
--- a/g4f/Provider/needs_auth/GeminiPro.py
+++ b/g4f/Provider/needs_auth/GeminiPro.py
@@ -6,8 +6,8 @@ import requests
 from typing import Optional
 from aiohttp import ClientSession, BaseConnector

-from ...typing import AsyncResult, Messages, ImagesType
-from ...image import to_bytes, is_accepted_format
+from ...typing import AsyncResult, Messages, MediaListType
+from ...image import to_bytes, is_data_an_media
 from ...errors import MissingAuthError
 from ...requests.raise_for_status import raise_for_status
 from ...providers.response import Usage, FinishReason
@@ -67,7 +67,7 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
        api_key: str = None,
        api_base: str = api_base,
        use_auth_header: bool = False,
-        images: ImagesType = None,
+        media: MediaListType = None,
        tools: Optional[list] = None,
        connector: BaseConnector = None,
        **kwargs
@@ -94,13 +94,13 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
                for message in messages
                if message["role"] != "system"
            ]
-            if images is not None:
-                for image, _ in images:
+            if media is not None:
+                for media_data, filename in media:
                    image = to_bytes(image)
                    contents[-1]["parts"].append({
                        "inline_data": {
-                            "mime_type": is_accepted_format(image),
-                            "data": base64.b64encode(image).decode()
+                            "mime_type": is_data_an_media(image, filename),
+                            "data": base64.b64encode(media_data).decode()
                        }
                    })
            data = {
--- a/g4f/Provider/needs_auth/Grok.py
+++ b/g4f/Provider/needs_auth/Grok.py
@@ -1,51 +1,56 @@
+from __future__ import annotations
+
 import os
 import json
-import random
-import re
-import base64
-import asyncio
 import time
-from urllib.parse import quote_plus, unquote_plus
-from pathlib import Path
-from aiohttp import ClientSession, BaseConnector
-from typing import Dict, Any, Optional, AsyncIterator, List
+from typing import Dict, Any, AsyncIterator

-from ... import debug
-from ...typing import Messages, Cookies, ImagesType, AsyncResult
-from ...providers.response import JsonConversation, Reasoning, ImagePreview, ImageResponse, TitleGeneration
+from ...typing import Messages, Cookies, AsyncResult
+from ...providers.response import JsonConversation, Reasoning, ImagePreview, ImageResponse, TitleGeneration, AuthResult, RequestLogin
+from ...requests import StreamSession, get_args_from_nodriver, DEFAULT_HEADERS
 from ...requests.raise_for_status import raise_for_status
-from ...requests.aiohttp import get_connector
-from ...requests import get_nodriver
-from ...errors import MissingAuthError
-from ...cookies import get_cookies_dir
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..base_provider import AsyncAuthedProvider, ProviderModelMixin
 from ..helper import format_prompt, get_cookies, get_last_user_message

 class Conversation(JsonConversation):
    def __init__(self,
-        conversation_id: str,
-        response_id: str,
-        choice_id: str,
-        model: str
+        conversation_id: str
    ) -> None:
        self.conversation_id = conversation_id
-        self.response_id = response_id
-        self.choice_id = choice_id
-        self.model = model

-class Grok(AsyncGeneratorProvider, ProviderModelMixin):
+class Grok(AsyncAuthedProvider, ProviderModelMixin):
    label = "Grok AI"
    url = "https://grok.com"
+    cookie_domain = ".grok.com"
    assets_url = "https://assets.grok.com"
    conversation_url = "https://grok.com/rest/app-chat/conversations"

    needs_auth = True
-    working = False
+    working = True

    default_model = "grok-3"
    models = [default_model, "grok-3-thinking", "grok-2"]

-    _cookies: Cookies = None
+    @classmethod
+    async def on_auth_async(cls, cookies: Cookies = None, proxy: str = None, **kwargs) -> AsyncIterator:
+        if cookies is None:
+            cookies = get_cookies(cls.cookie_domain, False, True, False)
+        if cookies is not None and "sso" in cookies:
+            yield AuthResult(
+                cookies=cookies,
+                impersonate="chrome",
+                proxy=proxy,
+                headers=DEFAULT_HEADERS
+            )
+            return
+        yield RequestLogin(cls.__name__, os.environ.get("G4F_LOGIN_URL") or "")
+        yield AuthResult(
+            **await get_args_from_nodriver(
+                cls.url,
+                proxy=proxy,
+                wait_for='[href="/chat#private"]'
+            )
+        )

    @classmethod
    async def _prepare_payload(cls, model: str, message: str) -> Dict[str, Any]:
@@ -72,63 +77,43 @@ class Grok(AsyncGeneratorProvider, ProviderModelMixin):
        }

    @classmethod
-    async def create_async_generator(
+    async def create_authed(
        cls,
        model: str,
        messages: Messages,
-        proxy: str = None,
+        auth_result: AuthResult,
        cookies: Cookies = None,
-        connector: BaseConnector = None,
-        images: ImagesType = None,
        return_conversation: bool = False,
-        conversation: Optional[Conversation] = None,
+        conversation: Conversation = None,
        **kwargs
    ) -> AsyncResult:
-        cls._cookies = cookies or cls._cookies or get_cookies(".grok.com", False, True)
-        if not cls._cookies:
-            raise MissingAuthError("Missing required cookies")
-
-        prompt = format_prompt(messages) if conversation is None else get_last_user_message(messages)
-        base_connector = get_connector(connector, proxy)
-
-        headers = {
-            "accept": "*/*",
-            "accept-language": "en-GB,en;q=0.9",
-            "content-type": "application/json",
-            "origin": "https://grok.com",
-            "priority": "u=1, i",
-            "referer": "https://grok.com/",
-            "sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126", "Brave";v="126"',
-            "sec-ch-ua-mobile": "?0",
-            "sec-ch-ua-platform": '"macOS"',
-            "sec-fetch-dest": "empty",
-            "sec-fetch-mode": "cors",
-            "sec-fetch-site": "same-origin",
-            "sec-gpc": "1",
-            "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36"
-        }
-
-        async with ClientSession(
-            headers=headers,
-            cookies=cls._cookies,
-            connector=base_connector
+        conversation_id = None if conversation is None else conversation.conversation_id
+        prompt = format_prompt(messages) if conversation_id is None else get_last_user_message(messages)
+        async with StreamSession(
+            **auth_result.get_dict()
        ) as session:
            payload = await cls._prepare_payload(model, prompt)
-            response = await session.post(f"{cls.conversation_url}/new", json=payload)
+            if conversation_id is None:
+                url = f"{cls.conversation_url}/new"
+            else:
+                url = f"{cls.conversation_url}/{conversation_id}/responses"
+            async with session.post(url, json=payload) as response:
                await raise_for_status(response)

                thinking_duration = None
-            async for line in response.content:
+                async for line in response.iter_lines():
                    if line:
                        try:
                            json_data = json.loads(line)
                            result = json_data.get("result", {})
+                            if conversation_id is None:
+                                conversation_id = result.get("conversation", {}).get("conversationId")
                            response_data = result.get("response", {})
                            image = response_data.get("streamingImageGenerationResponse", None)
                            if image is not None:
                                yield ImagePreview(f'{cls.assets_url}/{image["imageUrl"]}', "", {"cookies": cookies, "headers": headers})
-                        token = response_data.get("token", "")
-                        is_thinking = response_data.get("isThinking", False)
+                            token = response_data.get("token", result.get("token"))
+                            is_thinking = response_data.get("isThinking", result.get("isThinking"))
                            if token:
                                if is_thinking:
                                    if thinking_duration is None:
@@ -145,9 +130,12 @@ class Grok(AsyncGeneratorProvider, ProviderModelMixin):
                            generated_images = response_data.get("modelResponse", {}).get("generatedImageUrls", None)
                            if generated_images:
                                yield ImageResponse([f'{cls.assets_url}/{image}' for image in generated_images], "", {"cookies": cookies, "headers": headers})
-                        title = response_data.get("title", {}).get("newTitle", "")
+                            title = result.get("title", {}).get("newTitle", "")
                            if title:
                                yield TitleGeneration(title)
                            
+
                        except json.JSONDecodeError:
                            continue
+                if return_conversation and conversation_id is not None:
+                    yield Conversation(conversation_id)
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -18,7 +18,7 @@ except ImportError:
    has_nodriver = False

 from ..base_provider import AsyncAuthedProvider, ProviderModelMixin
-from ...typing import AsyncResult, Messages, Cookies, ImagesType
+from ...typing import AsyncResult, Messages, Cookies, MediaListType
 from ...requests.raise_for_status import raise_for_status
 from ...requests import StreamSession
 from ...requests import get_nodriver
@@ -127,7 +127,7 @@ class OpenaiChat(AsyncAuthedProvider, ProviderModelMixin):
        cls,
        session: StreamSession,
        auth_result: AuthResult,
-        images: ImagesType,
+        media: MediaListType,
    ) -> ImageRequest:
        """
        Upload an image to the service and get the download URL
@@ -135,7 +135,7 @@ class OpenaiChat(AsyncAuthedProvider, ProviderModelMixin):
        Args:
            session: The StreamSession object to use for requests
            headers: The headers to include in the requests
-            images: The images to upload, either a PIL Image object or a bytes object
+            media: The images to upload, either a PIL Image object or a bytes object
        
        Returns:
            An ImageRequest object that contains the download URL, file name, and other data
@@ -187,9 +187,9 @@ class OpenaiChat(AsyncAuthedProvider, ProviderModelMixin):
                await raise_for_status(response, "Get download url failed")
                image_data["download_url"] = (await response.json())["download_url"]
            return ImageRequest(image_data)
-        if not images:
+        if not media:
            return
-        return [await upload_image(image, image_name) for image, image_name in images]
+        return [await upload_image(image, image_name) for image, image_name in media]

    @classmethod
    def create_messages(cls, messages: Messages, image_requests: ImageRequest = None, system_hints: list = None):
@@ -268,7 +268,7 @@ class OpenaiChat(AsyncAuthedProvider, ProviderModelMixin):
        auto_continue: bool = False,
        action: str = "next",
        conversation: Conversation = None,
-        images: ImagesType = None,
+        media: MediaListType = None,
        return_conversation: bool = False,
        web_search: bool = False,
        **kwargs
@@ -285,7 +285,7 @@ class OpenaiChat(AsyncAuthedProvider, ProviderModelMixin):
            auto_continue (bool): Flag to automatically continue the conversation.
            action (str): Type of action ('next', 'continue', 'variant').
            conversation_id (str): ID of the conversation.
-            images (ImagesType): Images to include in the conversation.
+            media (MediaListType): Images to include in the conversation.
            return_conversation (bool): Flag to include response fields in the output.
            **kwargs: Additional keyword arguments.

@@ -316,7 +316,7 @@ class OpenaiChat(AsyncAuthedProvider, ProviderModelMixin):
                    cls._update_request_args(auth_result, session)
                    await raise_for_status(response)
                try:
-                    image_requests = await cls.upload_images(session, auth_result, images) if images else None
+                    image_requests = None if media is None else await cls.upload_images(session, auth_result, media)
                except Exception as e:
                    debug.error("OpenaiChat: Upload image failed")
                    debug.error(e)
--- a/g4f/Provider/template/BackendApi.py
+++ b/g4f/Provider/template/BackendApi.py
@@ -2,7 +2,7 @@ from __future__ import annotations

 import json

-from ...typing import Messages, AsyncResult, ImagesType
+from ...typing import Messages, AsyncResult, MediaListType
 from ...requests import StreamSession
 from ...image import to_data_uri
 from ...providers.base_provider import AsyncGeneratorProvider, ProviderModelMixin
@@ -18,21 +18,21 @@ class BackendApi(AsyncGeneratorProvider, ProviderModelMixin):
        cls,
        model: str,
        messages: Messages,
-        images: ImagesType = None,
+        media: MediaListType = None,
        api_key: str = None,
        **kwargs
    ) -> AsyncResult:
        debug.log(f"{cls.__name__}: {api_key}")
-        if images is not None:
-            for i in range(len(images)):
-                images[i] = (to_data_uri(images[i][0]), images[i][1])
+        if media is not None:
+            for i in range(len(media)):
+                media[i] = (to_data_uri(media[i][0]), media[i][1])
        async with StreamSession(
            headers={"Accept": "text/event-stream", **cls.headers},
        ) as session:
            async with session.post(f"{cls.url}/backend-api/v2/conversation", json={
                "model": model,
                "messages": messages,
-                "images": images,
+                "media": media,
                "api_key": api_key,
                **kwargs
            }, ssl=cls.ssl) as response:
--- a/g4f/Provider/template/OpenaiTemplate.py
+++ b/g4f/Provider/template/OpenaiTemplate.py
@@ -5,11 +5,11 @@ import requests

 from ..helper import filter_none, format_image_prompt
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin, RaiseErrorMixin
-from ...typing import Union, Optional, AsyncResult, Messages, ImagesType
+from ...typing import Union, AsyncResult, Messages, MediaListType
 from ...requests import StreamSession, raise_for_status
 from ...providers.response import FinishReason, ToolCalls, Usage, ImageResponse
 from ...errors import MissingAuthError, ResponseError
-from ...image import to_data_uri
+from ...image import to_data_uri, is_data_an_audio, to_input_audio
 from ... import debug

 class OpenaiTemplate(AsyncGeneratorProvider, ProviderModelMixin, RaiseErrorMixin):
@@ -54,7 +54,7 @@ class OpenaiTemplate(AsyncGeneratorProvider, ProviderModelMixin, RaiseErrorMixin
        messages: Messages,
        proxy: str = None,
        timeout: int = 120,
-        images: ImagesType = None,
+        media: MediaListType = None,
        api_key: str = None,
        api_endpoint: str = None,
        api_base: str = None,
@@ -66,7 +66,7 @@ class OpenaiTemplate(AsyncGeneratorProvider, ProviderModelMixin, RaiseErrorMixin
        prompt: str = None,
        headers: dict = None,
        impersonate: str = None,
-        extra_parameters: list[str] = ["tools", "parallel_tool_calls", "tool_choice", "reasoning_effort", "logit_bias"],
+        extra_parameters: list[str] = ["tools", "parallel_tool_calls", "tool_choice", "reasoning_effort", "logit_bias", "modalities", "audio"],
        extra_data: dict = {},
        **kwargs
    ) -> AsyncResult:
@@ -98,19 +98,26 @@ class OpenaiTemplate(AsyncGeneratorProvider, ProviderModelMixin, RaiseErrorMixin
                    yield ImageResponse([image["url"] for image in data["data"]], prompt)
                return

-            if images is not None and messages:
+            if media is not None and messages:
                if not model and hasattr(cls, "default_vision_model"):
                    model = cls.default_vision_model
                last_message = messages[-1].copy()
                last_message["content"] = [
-                    *[{
+                    *[
+                        {
+                            "type": "input_audio",
+                            "input_audio": to_input_audio(media_data, filename)
+                        }
+                        if is_data_an_audio(media_data, filename) else {
                            "type": "image_url",
-                        "image_url": {"url": to_data_uri(image)}
-                    } for image, _ in images],
+                            "image_url": {"url": to_data_uri(media_data, filename)}
+                        }
+                        for media_data, filename in media
+                    ],
                    {
                        "type": "text",
-                        "text": messages[-1]["content"]
-                    }
+                        "text": last_message["content"]
+                    } if isinstance(last_message["content"], str) else last_message["content"]
                ]
                messages[-1] = last_message
            extra_parameters = {key: kwargs[key] for key in extra_parameters if key in kwargs}
--- a/g4f/init.py
+++ b/g4f/init.py
@@ -34,12 +34,14 @@ class ChatCompletion:
               ignore_stream: bool = False,
               **kwargs) -> Union[CreateResult, str]:
        if image is not None:
-            kwargs["images"] = [(image, image_name)]
+            kwargs["media"] = [(image, image_name)]
+        elif "images" in kwargs:
+            kwargs["media"] = kwargs.pop("images")
        model, provider = get_model_and_provider(
            model, provider, stream,
            ignore_working,
            ignore_stream,
-            has_images="images" in kwargs,
+            has_images="media" in kwargs,
        )
        if "proxy" not in kwargs:
            proxy = os.environ.get("G4F_PROXY")
@@ -63,8 +65,10 @@ class ChatCompletion:
                     ignore_working: bool = False,
                     **kwargs) -> Union[AsyncResult, Coroutine[str]]:
        if image is not None:
-            kwargs["images"] = [(image, image_name)]
-        model, provider = get_model_and_provider(model, provider, False, ignore_working, has_images="images" in kwargs)
+            kwargs["media"] = [(image, image_name)]
+        elif "images" in kwargs:
+            kwargs["media"] = kwargs.pop("images")
+        model, provider = get_model_and_provider(model, provider, False, ignore_working, has_images="media" in kwargs)
        if "proxy" not in kwargs:
            proxy = os.environ.get("G4F_PROXY")
            if proxy:
--- a/g4f/api/init.py
+++ b/g4f/api/init.py
@@ -38,7 +38,7 @@ import g4f.debug
 from g4f.client import AsyncClient, ChatCompletion, ImagesResponse, convert_to_provider
 from g4f.providers.response import BaseConversation, JsonConversation
 from g4f.client.helper import filter_none
-from g4f.image import is_data_uri_an_media
+from g4f.image import is_data_an_media
 from g4f.image.copy_images import images_dir, copy_images, get_source_url
 from g4f.errors import ProviderNotFoundError, ModelNotFoundError, MissingAuthError, NoValidHarFileError
 from g4f.cookies import read_cookie_files, get_cookies_dir
@@ -320,16 +320,18 @@ class Api:

                if config.image is not None:
                    try:
-                        is_data_uri_an_media(config.image)
+                        is_data_an_media(config.image)
                    except ValueError as e:
                        return ErrorResponse.from_message(f"The image you send must be a data URI. Example: data:image/jpeg;base64,...", status_code=HTTP_422_UNPROCESSABLE_ENTITY)
-                if config.images is not None:
-                    for image in config.images:
+                if config.media is None:
+                    config.media = config.images
+                if config.media is not None:
+                    for image in config.media:
                        try:
-                            is_data_uri_an_media(image[0])
+                            is_data_an_media(image[0])
                        except ValueError as e:
-                            example = json.dumps({"images": [["data:image/jpeg;base64,...", "filename"]]})
-                            return ErrorResponse.from_message(f'The image you send must be a data URI. Example: {example}', status_code=HTTP_422_UNPROCESSABLE_ENTITY)
+                            example = json.dumps({"media": [["data:image/jpeg;base64,...", "filename.jpg"]]})
+                            return ErrorResponse.from_message(f'The media you send must be a data URIs. Example: {example}', status_code=HTTP_422_UNPROCESSABLE_ENTITY)

                # Create the completion response
                response = self.client.chat.completions.create(
--- a/g4f/api/stubs.py
+++ b/g4f/api/stubs.py
@@ -17,6 +17,7 @@ class ChatCompletionsConfig(BaseModel):
    image: Optional[str] = None
    image_name: Optional[str] = None
    images: Optional[list[tuple[str, str]]] = None
+    media: Optional[list[tuple[str, str]]] = None
    temperature: Optional[float] = None
    presence_penalty: Optional[float] = None
    frequency_penalty: Optional[float] = None
--- a/g4f/client/init.py
+++ b/g4f/client/init.py
@@ -293,14 +293,16 @@ class Completions:
        if isinstance(messages, str):
            messages = [{"role": "user", "content": messages}]
        if image is not None:
-            kwargs["images"] = [(image, image_name)]
+            kwargs["media"] = [(image, image_name)]
+        elif "images" in kwargs:
+            kwargs["media"] = kwargs.pop("images")
        model, provider = get_model_and_provider(
            model,
            self.provider if provider is None else provider,
            stream,
            ignore_working,
            ignore_stream,
-            has_images="images" in kwargs
+            has_images="media" in kwargs
        )
        stop = [stop] if isinstance(stop, str) else stop
        if ignore_stream:
@@ -481,7 +483,7 @@ class Images:
            proxy = self.client.proxy
        prompt = "create a variation of this image"
        if image is not None:
-            kwargs["images"] = [(image, None)]
+            kwargs["media"] = [(image, None)]

        error = None
        response = None
@@ -581,14 +583,16 @@ class AsyncCompletions:
        if isinstance(messages, str):
            messages = [{"role": "user", "content": messages}]
        if image is not None:
-            kwargs["images"] = [(image, image_name)]
+            kwargs["media"] = [(image, image_name)]
+        elif "images" in kwargs:
+            kwargs["media"] = kwargs.pop("images")
        model, provider = get_model_and_provider(
            model,
            self.provider if provider is None else provider,
            stream,
            ignore_working,
            ignore_stream,
-            has_images="images" in kwargs,
+            has_images="media" in kwargs,
        )
        stop = [stop] if isinstance(stop, str) else stop
        if ignore_stream:
--- a/g4f/cookies.py
+++ b/g4f/cookies.py
@@ -67,7 +67,7 @@ DOMAINS = [
 if has_browser_cookie3 and os.environ.get('DBUS_SESSION_BUS_ADDRESS') == "/dev/null":
    _LinuxPasswordManager.get_password = lambda a, b: b"secret"

-def get_cookies(domain_name: str = '', raise_requirements_error: bool = True, single_browser: bool = False) -> Dict[str, str]:
+def get_cookies(domain_name: str, raise_requirements_error: bool = True, single_browser: bool = False, cache_result: bool = True) -> Dict[str, str]:
    """
    Load cookies for a given domain from all supported browsers and cache the results.

@@ -77,10 +77,11 @@ def get_cookies(domain_name: str = '', raise_requirements_error: bool = True, si
    Returns:
        Dict[str, str]: A dictionary of cookie names and values.
    """
-    if domain_name in CookiesConfig.cookies:
+    if cache_result and domain_name in CookiesConfig.cookies:
        return CookiesConfig.cookies[domain_name]

    cookies = load_cookies_from_browsers(domain_name, raise_requirements_error, single_browser)
+    if cache_result:
        CookiesConfig.cookies[domain_name] = cookies
    return cookies

@@ -108,8 +109,8 @@ def load_cookies_from_browsers(domain_name: str, raise_requirements_error: bool
    for cookie_fn in browsers:
        try:
            cookie_jar = cookie_fn(domain_name=domain_name)
-            if len(cookie_jar) and debug.logging:
-                print(f"Read cookies from {cookie_fn.__name__} for {domain_name}")
+            if len(cookie_jar):
+                debug.log(f"Read cookies from {cookie_fn.__name__} for {domain_name}")
            for cookie in cookie_jar:
                if cookie.name not in cookies:
                    if not cookie.expires or cookie.expires > time.time():
@@ -119,8 +120,7 @@ def load_cookies_from_browsers(domain_name: str, raise_requirements_error: bool
        except BrowserCookieError:
            pass
        except Exception as e:
-            if debug.logging:
-                print(f"Error reading cookies from {cookie_fn.__name__} for {domain_name}: {e}")
+            debug.error(f"Error reading cookies from {cookie_fn.__name__} for {domain_name}: {e}")
    return cookies

 def set_cookies_dir(dir: str) -> None:
--- a/g4f/gui/client/demo.html
+++ b/g4f/gui/client/demo.html
@@ -86,6 +86,23 @@
            height: 100%;
            text-align: center;
            z-index: 1;
+            transition: transform 0.25s ease-in;
+        }
+
+        .container.slide {
+            transform: translateX(-100%);
+            transition: transform 0.15s ease-out;
+        }
+
+        .slide-button {
+            position: absolute;
+            top: 20px;
+            left: 20px;
+            background: var(--colour-4);
+            border: none;
+            border-radius: 4px;
+            cursor: pointer;
+            padding: 6px 8px;
        }

        header {
@@ -105,7 +122,8 @@
            height: 100%;
            position: absolute;
            z-index: -1;
-            object-fit: contain;
+            object-fit: cover;
+            object-position: center;
            width: 100%;
            background: black;
        }
@@ -181,6 +199,7 @@
            }
        }
    </style>
+    <link rel="stylesheet" href="/static/css/all.min.css">
    <script>
        (async () => {
            const isIframe = window.self !== window.top;
@@ -208,6 +227,10 @@
    <!-- Gradient Background Circle -->
    <div class="gradient"></div>

+    <button class="slide-button">
+        <i class="fa-solid fa-arrow-left"></i>
+    </button>
+
    <!-- Main Content -->
    <div class="container">
        <header>
@@ -277,8 +300,11 @@
            if (oauthResult) {
                try {
                    oauthResult = JSON.parse(oauthResult);
+                    user = await hub.whoAmI({accessToken: oauthResult.accessToken});
                } catch {
                    oauthResult = null;
+                    localStorage.removeItem("oauth");
+                    localStorage.removeItem("HuggingFace-api_key");
                }
            }
            oauthResult ||= await oauthHandleRedirectIfPresent();
@@ -339,7 +365,7 @@
                    return;
                }
                const lower = data.prompt.toLowerCase();
-                const tags = ["nsfw", "timeline", "blood", "soap", "orally", "heel", "latex", "bathroom", "boobs", "charts", " text ", "gel", "logo", "infographic", "warts", " bra ", "prostitute", "curvy", "breasts", "written", "bodies", "naked", "classroom", "malone", "dirty", "shoes", "shower", "banner", "fat", "nipples", "couple", "sexual", "sandal", "supplier", "overlord", "succubus", "platinum", "cracy", "crazy", "lamic", "ropes", "cables", "wires", "dirty", "messy", "cluttered", "chaotic", "disorganized", "disorderly", "untidy", "unorganized", "unorderly", "unsystematic", "disarranged", "disarrayed", "disheveled", "disordered", "jumbled", "muddled", "scattered", "shambolic", "sloppy", "unkept", "unruly"];
+                const tags = ["nsfw", "timeline", "feet", "blood", "soap", "orally", "heel", "latex", "bathroom", "boobs", "charts", " text ", "gel", "logo", "infographic", "warts", " bra ", "prostitute", "curvy", "breasts", "written", "bodies", "naked", "classroom", "malone", "dirty", "shoes", "shower", "banner", "fat", "nipples", "couple", "sexual", "sandal", "supplier", "overlord", "succubus", "platinum", "cracy", "crazy", "hemale", "oprah", "lamic", "ropes", "cables", "wires", "dirty", "messy", "cluttered", "chaotic", "disorganized", "disorderly", "untidy", "unorganized", "unorderly", "unsystematic", "disarranged", "disarrayed", "disheveled", "disordered", "jumbled", "muddled", "scattered", "shambolic", "sloppy", "unkept", "unruly"];
                for (i in tags) {
                    if (lower.indexOf(tags[i]) != -1) {
                        console.log("Skipping image with tag: " + tags[i]);
@@ -363,6 +389,21 @@
                    imageFeed.remove();
                }
            }, 7000);
+
+            const container = document.querySelector('.container');
+            const button = document.querySelector('.slide-button');
+            const slideIcon = button.querySelector('i');
+            button.onclick = () => {
+                if (container.classList.contains('slide')) {
+                    container.classList.remove('slide');
+                    slideIcon.classList.remove('fa-arrow-right');
+                    slideIcon.classList.add('fa-arrow-left');
+                } else {
+                    container.classList.add('slide');
+                    slideIcon.classList.remove('fa-arrow-left');
+                    slideIcon.classList.add('fa-arrow-right');
+                }
+            }
        })();
    </script>
 </body>
--- a/g4f/gui/server/api.py
+++ b/g4f/gui/server/api.py
@@ -141,7 +141,7 @@ class Api:
                stream=True,
                ignore_stream=True,
                logging=False,
-                has_images="images" in kwargs,
+                has_images="media" in kwargs,
            )
        except Exception as e:
            debug.error(e)
--- a/g4f/gui/server/backend_api.py
+++ b/g4f/gui/server/backend_api.py
@@ -8,6 +8,7 @@ import asyncio
 import shutil
 import random
 import datetime
+import tempfile
 from flask import Flask, Response, request, jsonify, render_template
 from typing import Generator
 from pathlib import Path
@@ -111,11 +112,13 @@ class Backend_Api(Api):
            else:
                json_data = request.json
            if "files" in request.files:
-                images = []
+                media = []
                for file in request.files.getlist('files'):
                    if file.filename != '' and is_allowed_extension(file.filename):
-                        images.append((to_image(file.stream, file.filename.endswith('.svg')), file.filename))
-                json_data['images'] = images
+                        newfile = tempfile.TemporaryFile()
+                        shutil.copyfileobj(file.stream, newfile)
+                        media.append((newfile, file.filename))
+                json_data['media'] = media

            if app.demo and not json_data.get("provider"):
                model = json_data.get("model")
--- a/g4f/image/init.py
+++ b/g4f/image/init.py
@@ -76,24 +76,24 @@ def is_allowed_extension(filename: str) -> bool:
    return '.' in filename and \
           filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS

-def is_data_uri_an_media(data_uri: str) -> str:
-    return is_data_an_wav(data_uri) or is_data_uri_an_image(data_uri)
+def is_data_an_media(data, filename: str = None) -> str:
+    content_type = is_data_an_audio(data, filename)
+    if content_type is not None:
+        return content_type
+    if isinstance(data, bytes):
+        return is_accepted_format(data)
+    return is_data_uri_an_image(data)

-def is_data_an_wav(data_uri: str, filename: str = None) -> str:
-    """
-    Checks if the given data URI represents an image.
-
-    Args:
-        data_uri (str): The data URI to check.
-
-    Raises:
-        ValueError: If the data URI is invalid or the image format is not allowed.
-    """
-    if filename and filename.endswith(".wav"):
-        return "audio/wav"
-    # Check if the data URI starts with 'data:image' and contains an image format (e.g., jpeg, png, gif)
-    if isinstance(data_uri, str) and re.match(r'data:audio/wav;base64,', data_uri):
+def is_data_an_audio(data_uri: str, filename: str = None) -> str:
+    if filename:
+        if filename.endswith(".wav"):
            return "audio/wav"
+        elif filename.endswith(".mp3"):
+            return "audio/mpeg"
+    if isinstance(data_uri, str):
+        audio_format = re.match(r'^data:(audio/\w+);base64,', data_uri)
+        if audio_format:
+            return audio_format.group(1)

 def is_data_uri_an_image(data_uri: str) -> bool:
    """
@@ -218,7 +218,7 @@ def to_bytes(image: ImageType) -> bytes:
    if isinstance(image, bytes):
        return image
    elif isinstance(image, str) and image.startswith("data:"):
-        is_data_uri_an_media(image)
+        is_data_an_media(image)
        return extract_data_uri(image)
    elif isinstance(image, Image):
        bytes_io = BytesIO()
@@ -236,13 +236,29 @@ def to_bytes(image: ImageType) -> bytes:
            pass
        return image.read()

-def to_data_uri(image: ImageType) -> str:
+def to_data_uri(image: ImageType, filename: str = None) -> str:
    if not isinstance(image, str):
        data = to_bytes(image)
        data_base64 = base64.b64encode(data).decode()
-        return f"data:{is_accepted_format(data)};base64,{data_base64}"
+        return f"data:{is_data_an_media(data, filename)};base64,{data_base64}"
    return image

+def to_input_audio(audio: ImageType, filename: str = None) -> str:
+    if not isinstance(audio, str):
+        if filename is not None and (filename.endswith(".wav") or filename.endswith(".mp3")):
+            return {
+                "data": base64.b64encode(to_bytes(audio)).decode(),
+                "format": "wav" if filename.endswith(".wav") else "mpeg"
+            }
+        raise ValueError("Invalid input audio")
+    audio = re.match(r'^data:audio/(\w+);base64,(.+?)', audio)
+    if audio:
+        return {
+            "data": audio.group(2),
+            "format": audio.group(1),
+        }
+    raise ValueError("Invalid input audio")
+
 class ImageDataResponse():
    def __init__(
        self,
--- a/g4f/image/copy_images.py
+++ b/g4f/image/copy_images.py
@@ -109,7 +109,7 @@ async def copy_images(
                                f.write(chunk)

                # Verify file format
-                if not os.path.splitext(target_path)[1]:
+                if target is None and not os.path.splitext(target_path)[1]:
                    with open(target_path, "rb") as f:
                        file_header = f.read(12)
                    detected_type = is_accepted_format(file_header)
@@ -120,7 +120,7 @@ async def copy_images(

                # Build URL with safe encoding
                url_filename = quote(os.path.basename(target_path))
-                return f"/images/{url_filename}{'?url=' + quote(image) if add_url and not image.startswith('data:') else ''}"
+                return f"/images/{url_filename}" + (('?url=' + quote(image)) if add_url and not image.startswith('data:') else '')

            except (ClientError, IOError, OSError) as e:
                debug.error(f"Image copying failed: {type(e).__name__}: {e}")
--- a/g4f/providers/base_provider.py
+++ b/g4f/providers/base_provider.py
@@ -25,7 +25,7 @@ from .. import debug

 SAFE_PARAMETERS = [
    "model", "messages", "stream", "timeout",
-    "proxy", "images", "response_format",
+    "proxy", "media", "response_format",
    "prompt", "negative_prompt", "tools", "conversation",
    "history_disabled",
    "temperature",  "top_k", "top_p",
@@ -56,7 +56,7 @@ PARAMETER_EXAMPLES = {
    "frequency_penalty": 1,
    "presence_penalty": 1,
    "messages": [{"role": "system", "content": ""}, {"role": "user", "content": ""}],
-    "images": [["data:image/jpeg;base64,...", "filename.jpg"]],
+    "media": [["data:image/jpeg;base64,...", "filename.jpg"]],
    "response_format": {"type": "json_object"},
    "conversation": {"conversation_id": "550e8400-e29b-11d4-a716-...", "message_id": "550e8400-e29b-11d4-a716-..."},
    "seed": 42,
--- a/g4f/providers/tool_support.py
+++ b/g4f/providers/tool_support.py
@@ -2,7 +2,7 @@ from __future__ import annotations

 import json

-from ..typing import AsyncResult, Messages, ImagesType
+from ..typing import AsyncResult, Messages, MediaListType
 from ..client.service import get_model_and_provider
 from ..client.helper import filter_json
 from .base_provider import AsyncGeneratorProvider
@@ -17,7 +17,7 @@ class ToolSupportProvider(AsyncGeneratorProvider):
        model: str,
        messages: Messages,
        stream: bool = True,
-        images: ImagesType = None,
+        media: MediaListType = None,
        tools: list[str] = None,
        response_format: dict = None,
        **kwargs
@@ -28,7 +28,7 @@ class ToolSupportProvider(AsyncGeneratorProvider):
        model, provider = get_model_and_provider(
            model, provider,
            stream, logging=False,
-            has_images=images is not None
+            has_images=media is not None
        )
        if tools is not None:
            if len(tools) > 1:
@@ -49,7 +49,7 @@ class ToolSupportProvider(AsyncGeneratorProvider):
            model,
            messages,
            stream=stream,
-            images=images,
+            media=media,
            response_format=response_format,
            **kwargs
        ):
--- a/g4f/typing.py
+++ b/g4f/typing.py
@@ -21,7 +21,7 @@ AsyncResult = AsyncIterator[Union[str, ResponseType]]
 Messages = List[Dict[str, Union[str, List[Dict[str, Union[str, Dict[str, str]]]]]]]
 Cookies = Dict[str, str]
 ImageType = Union[str, bytes, IO, Image, os.PathLike]
-ImagesType = List[Tuple[ImageType, Optional[str]]]
+MediaListType = List[Tuple[ImageType, Optional[str]]]

 __all__ = [
    'Any',
@@ -44,5 +44,5 @@ __all__ = [
    'Cookies',
    'Image',
    'ImageType',
-    'ImagesType'
+    'MediaListType'
 ]