0.2.0.6

17 files changed, 185 insertions, 150 deletions

diff --git a/g4f/Provider/Bing.py b/g4f/Provider/Bing.py
index 11bb1414..32879fa6 100644
--- a/g4f/Provider/Bing.py
+++ b/g4f/Provider/Bing.py
@@ -9,7 +9,7 @@ from urllib import parse
 from aiohttp import ClientSession, ClientTimeout, BaseConnector
 
 from ..typing import AsyncResult, Messages, ImageType
-from ..image import ImageResponse
+from ..image import ImageResponse, ImageRequest
 from .base_provider import AsyncGeneratorProvider
 from .helper import get_connector
 from .bing.upload_image import upload_image
@@ -154,6 +154,11 @@ class Defaults:
         'SRCHHPGUSR'    : f'HV={int(time.time())}',
     }
 
+class ConversationStyleOptionSets():
+    CREATIVE = ["h3imaginative", "clgalileo", "gencontentv3"]
+    BALANCED = ["galileo"]
+    PRECISE = ["h3precise", "clgalileo"]
+
 def format_message(msg: dict) -> str:
     """
     Formats a message dictionary into a JSON string with a delimiter.
@@ -168,7 +173,7 @@ def create_message(
     prompt: str,
     tone: str,
     context: str = None,
-    image_response: ImageResponse = None,
+    image_request: ImageRequest = None,
     web_search: bool = False,
     gpt4_turbo: bool = False
 ) -> str:
@@ -179,7 +184,7 @@ def create_message(
     :param prompt: The user's input prompt.
     :param tone: The desired tone for the response.
     :param context: Additional context for the prompt.
-    :param image_response: The response if an image is involved.
+    :param image_request: The image request with the url.
     :param web_search: Flag to enable web search.
     :param gpt4_turbo: Flag to enable GPT-4 Turbo.
     :return: A formatted string message for the Bing API.
@@ -187,11 +192,11 @@ def create_message(
     options_sets = Defaults.optionsSets
     # Append tone-specific options
     if tone == Tones.creative:
-        options_sets.append("h3imaginative")
+        options_sets.extend(ConversationStyleOptionSets.CREATIVE)
     elif tone == Tones.precise:
-        options_sets.append("h3precise")
+        options_sets.extend(ConversationStyleOptionSets.PRECISE)
     elif tone == Tones.balanced:
-        options_sets.append("galileo")
+        options_sets.extend(ConversationStyleOptionSets.BALANCED)
     else:
         options_sets.append("harmonyv3")
 
@@ -233,9 +238,9 @@ def create_message(
         'type': 4
     }
 
-    if image_response and image_response.get('imageUrl') and image_response.get('originalImageUrl'):
-        struct['arguments'][0]['message']['originalImageUrl'] = image_response.get('originalImageUrl')
-        struct['arguments'][0]['message']['imageUrl'] = image_response.get('imageUrl')
+    if image_request and image_request.get('imageUrl') and image_request.get('originalImageUrl'):
+        struct['arguments'][0]['message']['originalImageUrl'] = image_request.get('originalImageUrl')
+        struct['arguments'][0]['message']['imageUrl'] = image_request.get('imageUrl')
         struct['arguments'][0]['experienceType'] = None
         struct['arguments'][0]['attachedFileInfo'] = {"fileName": None, "fileType": None}
 
@@ -282,9 +287,9 @@ async def stream_generate(
         timeout=ClientTimeout(total=timeout), headers=headers, connector=connector
     ) as session:
         conversation = await create_conversation(session)
-        image_response = await upload_image(session, image, tone) if image else None
-        if image_response:
-            yield image_response
+        image_request = await upload_image(session, image, tone) if image else None
+        if image_request:
+            yield image_request
 
         try:
             async with session.ws_connect(
@@ -294,7 +299,7 @@ async def stream_generate(
             ) as wss:
                 await wss.send_str(format_message({'protocol': 'json', 'version': 1}))
                 await wss.receive(timeout=timeout)
-                await wss.send_str(create_message(conversation, prompt, tone, context, image_response, web_search, gpt4_turbo))
+                await wss.send_str(create_message(conversation, prompt, tone, context, image_request, web_search, gpt4_turbo))
 
                 response_txt = ''
                 returned_text = ''
diff --git a/g4f/Provider/DeepInfra.py b/g4f/Provider/DeepInfra.py
index 2f34b679..09b9464e 100644
--- a/g4f/Provider/DeepInfra.py
+++ b/g4f/Provider/DeepInfra.py
@@ -13,11 +13,12 @@ class DeepInfra(AsyncGeneratorProvider, ProviderModelMixin):
     supports_message_history = True
     default_model = 'meta-llama/Llama-2-70b-chat-hf'
     
-    @staticmethod
-    def get_models():
-        url = 'https://api.deepinfra.com/models/featured'
-        models = requests.get(url).json()
-        return [model['model_name'] for model in models]
+    @classmethod
+    def get_models(cls):
+        if not cls.models:
+            url = 'https://api.deepinfra.com/models/featured'
+            cls.models = requests.get(url).json()
+        return cls.models
 
     @classmethod
     async def create_async_generator(
diff --git a/g4f/Provider/GptForLove.py b/g4f/Provider/GptForLove.py
index 07e3406f..cc82da21 100644
--- a/g4f/Provider/GptForLove.py
+++ b/g4f/Provider/GptForLove.py
@@ -1,11 +1,18 @@
 from __future__ import annotations
 
 from aiohttp import ClientSession
-import execjs, os, json
+import os
+import json
+try:
+    import execjs
+    has_requirements = True
+except ImportError:
+    has_requirements = False
 
 from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider
 from .helper import format_prompt
+from ..errors import MissingRequirementsError
 
 class GptForLove(AsyncGeneratorProvider):
     url = "https://ai18.gptforlove.com"
@@ -20,6 +27,8 @@ class GptForLove(AsyncGeneratorProvider):
         proxy: str = None,
         **kwargs
     ) -> AsyncResult:
+        if not has_requirements:
+            raise MissingRequirementsError('Install "PyExecJS" package')
         if not model:
             model = "gpt-3.5-turbo"
         headers = {
diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py
index 79e4ae38..9aa93878 100644
--- a/g4f/Provider/HuggingChat.py
+++ b/g4f/Provider/HuggingChat.py
@@ -39,7 +39,7 @@ class HuggingChat(AsyncGeneratorProvider, ProviderModelMixin):
         **kwargs
     ) -> AsyncResult:
         if not cookies:
-            cookies = get_cookies(".huggingface.co")
+            cookies = get_cookies(".huggingface.co", False)
 
         headers = {
             'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
diff --git a/g4f/Provider/PerplexityLabs.py b/g4f/Provider/PerplexityLabs.py
index 5002b39f..a7b98f7c 100644
--- a/g4f/Provider/PerplexityLabs.py
+++ b/g4f/Provider/PerplexityLabs.py
@@ -14,12 +14,12 @@ WS_URL = "wss://labs-api.perplexity.ai/socket.io/"
 class PerplexityLabs(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://labs.perplexity.ai"    
     working = True
+    default_model = 'pplx-70b-online'
     models = [
         'pplx-7b-online', 'pplx-70b-online', 'pplx-7b-chat', 'pplx-70b-chat', 'mistral-7b-instruct', 
         'codellama-34b-instruct', 'llama-2-70b-chat', 'llava-7b-chat', 'mixtral-8x7b-instruct', 
         'mistral-medium', 'related'
     ]
-    default_model = 'pplx-70b-online'
     model_aliases = {
         "mistralai/Mistral-7B-Instruct-v0.1": "mistral-7b-instruct", 
         "meta-llama/Llama-2-70b-chat-hf": "llama-2-70b-chat",
@@ -52,8 +52,7 @@ class PerplexityLabs(AsyncGeneratorProvider, ProviderModelMixin):
         async with ClientSession(headers=headers, connector=get_connector(connector, proxy)) as session:
             t = format(random.getrandbits(32), '08x')
             async with session.get(
-                f"{API_URL}?EIO=4&transport=polling&t={t}",
-                proxy=proxy
+                f"{API_URL}?EIO=4&transport=polling&t={t}"
             ) as response:
                 text = await response.text()
 
@@ -61,8 +60,7 @@ class PerplexityLabs(AsyncGeneratorProvider, ProviderModelMixin):
             post_data = '40{"jwt":"anonymous-ask-user"}'
             async with session.post(
                 f'{API_URL}?EIO=4&transport=polling&t={t}&sid={sid}',
-                data=post_data,
-                proxy=proxy
+                data=post_data
             ) as response:
                 assert await response.text() == 'OK'
                 
diff --git a/g4f/Provider/Phind.py b/g4f/Provider/Phind.py
index dfc8f992..dbf1e7ae 100644
--- a/g4f/Provider/Phind.py
+++ b/g4f/Provider/Phind.py
@@ -9,7 +9,6 @@ from ..requests import StreamSession
 class Phind(AsyncGeneratorProvider):
     url = "https://www.phind.com"
     working = True
-    supports_gpt_4 = True
     supports_stream = True
     supports_message_history = True
 
diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
index 466ea3de..8d2137bf 100644
--- a/g4f/Provider/Vercel.py
+++ b/g4f/Provider/Vercel.py
@@ -1,10 +1,16 @@
 from __future__ import annotations
 
-import json, base64, requests, execjs, random, uuid
+import json, base64, requests, random, uuid
+
+try:
+    import execjs
+    has_requirements = True
+except ImportError:
+    has_requirements = False
 
 from ..typing       import Messages, TypedDict, CreateResult, Any
 from .base_provider import AbstractProvider
-from ..debug        import logging
+from ..errors       import MissingRequirementsError
 
 class Vercel(AbstractProvider):
     url = 'https://sdk.vercel.ai'
@@ -21,10 +27,11 @@ class Vercel(AbstractProvider):
         proxy: str = None,
         **kwargs
     ) -> CreateResult:
-        
+        if not has_requirements:
+            raise MissingRequirementsError('Install "PyExecJS" package')
+
         if not model:
             model = "gpt-3.5-turbo"
-
         elif model not in model_info:
             raise ValueError(f"Vercel does not support {model}")
 
diff --git a/g4f/Provider/base_provider.py b/g4f/Provider/base_provider.py
index e1dcd24d..b173db4e 100644
--- a/g4f/Provider/base_provider.py
+++ b/g4f/Provider/base_provider.py
@@ -1,4 +1,5 @@
 from __future__ import annotations
+
 import sys
 import asyncio
 from asyncio import AbstractEventLoop
diff --git a/g4f/Provider/bing/conversation.py b/g4f/Provider/bing/conversation.py
index 36ada3b0..388bdd6b 100644
--- a/g4f/Provider/bing/conversation.py
+++ b/g4f/Provider/bing/conversation.py
@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from aiohttp import ClientSession
 
 class Conversation:
diff --git a/g4f/Provider/bing/create_images.py b/g4f/Provider/bing/create_images.py
index af39ef1e..4fa85929 100644
--- a/g4f/Provider/bing/create_images.py
+++ b/g4f/Provider/bing/create_images.py
@@ -2,21 +2,28 @@
 This module provides functionalities for creating and managing images using Bing's service.
 It includes functions for user login, session creation, image creation, and processing.
 """
+from __future__ import annotations
 
 import asyncio
 import time
 import json
 import os
 from aiohttp import ClientSession, BaseConnector
-from bs4 import BeautifulSoup
 from urllib.parse import quote
 from typing import Generator, List, Dict
 
+try:
+    from bs4 import BeautifulSoup
+    has_requirements = True
+except ImportError:
+    has_requirements = False
+
 from ..create_images import CreateImagesProvider
 from ..helper import get_cookies, get_connector
 from ...webdriver import WebDriver, get_driver_cookies, get_browser
 from ...base_provider import ProviderType
 from ...image import ImageResponse
+from ...errors import MissingRequirementsError, MissingAccessToken
 
 BING_URL = "https://www.bing.com"
 TIMEOUT_LOGIN = 1200
@@ -97,6 +104,8 @@ async def create_images(session: ClientSession, prompt: str, proxy: str = None,
     Raises:
         RuntimeError: If image creation fails or times out.
     """
+    if not has_requirements:
+        raise MissingRequirementsError('Install "beautifulsoup4" package')
     url_encoded_prompt = quote(prompt)
     payload = f"q={url_encoded_prompt}&rt=4&FORM=GENCRE"
     url = f"{BING_URL}/images/create?q={url_encoded_prompt}&rt=4&FORM=GENCRE"
@@ -193,7 +202,11 @@ class CreateImagesBing:
         Yields:
             Generator[str, None, None]: The final output as markdown formatted string with images.
         """
-        cookies = self.cookies or get_cookies(".bing.com")
+        try:
+            cookies = self.cookies or get_cookies(".bing.com")
+        except MissingRequirementsError as e:
+            raise MissingAccessToken(f'Missing "_U" cookie. {e}')
+            
         if "_U" not in cookies:
             login_url = os.environ.get("G4F_LOGIN_URL")
             if login_url:
@@ -211,9 +224,12 @@ class CreateImagesBing:
         Returns:
             str: Markdown formatted string with images.
         """
-        cookies = self.cookies or get_cookies(".bing.com")
+        try:
+            cookies = self.cookies or get_cookies(".bing.com")
+        except MissingRequirementsError as e:
+            raise MissingAccessToken(f'Missing "_U" cookie. {e}')
         if "_U" not in cookies:
-            raise RuntimeError('"_U" cookie is missing')
+            raise MissingAccessToken('Missing "_U" cookie')
         proxy = os.environ.get("G4F_PROXY")
         async with create_session(cookies, proxy) as session:
             images = await create_images(session, prompt, self.proxy)
diff --git a/g4f/Provider/bing/upload_image.py b/g4f/Provider/bing/upload_image.py
index bb5687a8..f9e11561 100644
--- a/g4f/Provider/bing/upload_image.py
+++ b/g4f/Provider/bing/upload_image.py
@@ -1,17 +1,14 @@
 """
 Module to handle image uploading and processing for Bing AI integrations.
 """
-
 from __future__ import annotations
-import string
-import random
+
 import json
 import math
-from aiohttp import ClientSession
-from PIL import Image
+from aiohttp import ClientSession, FormData
 
 from ...typing import ImageType, Tuple
-from ...image import to_image, process_image, to_base64, ImageResponse
+from ...image import to_image, process_image, to_base64_jpg, ImageRequest, Image
 
 IMAGE_CONFIG = {
     "maxImagePixels": 360000,
@@ -24,7 +21,7 @@ async def upload_image(
     image_data: ImageType, 
     tone: str, 
     proxy: str = None
-) -> ImageResponse:
+) -> ImageRequest:
     """
     Uploads an image to Bing's AI service and returns the image response.
 
@@ -38,22 +35,22 @@ async def upload_image(
         RuntimeError: If the image upload fails.
 
     Returns:
-        ImageResponse: The response from the image upload.
+        ImageRequest: The response from the image upload.
     """
     image = to_image(image_data)
     new_width, new_height = calculate_new_dimensions(image)
-    processed_img = process_image(image, new_width, new_height)
-    img_binary_data = to_base64(processed_img, IMAGE_CONFIG['imageCompressionRate'])
+    image = process_image(image, new_width, new_height)
+    img_binary_data = to_base64_jpg(image, IMAGE_CONFIG['imageCompressionRate'])
 
-    data, boundary = build_image_upload_payload(img_binary_data, tone)
-    headers = prepare_headers(session, boundary)
+    data = build_image_upload_payload(img_binary_data, tone)
+    headers = prepare_headers(session)
 
     async with session.post("https://www.bing.com/images/kblob", data=data, headers=headers, proxy=proxy) as response:
         if response.status != 200:
             raise RuntimeError("Failed to upload image.")
         return parse_image_response(await response.json())
 
-def calculate_new_dimensions(image: Image.Image) -> Tuple[int, int]:
+def calculate_new_dimensions(image: Image) -> Tuple[int, int]:
     """
     Calculates the new dimensions for the image based on the maximum allowed pixels.
 
@@ -70,7 +67,7 @@ def calculate_new_dimensions(image: Image.Image) -> Tuple[int, int]:
         return int(width * scale_factor), int(height * scale_factor)
     return width, height
 
-def build_image_upload_payload(image_bin: str, tone: str) -> Tuple[str, str]:
+def build_image_upload_payload(image_bin: str, tone: str) -> FormData:
     """
     Builds the payload for image uploading.
 
@@ -81,18 +78,11 @@ def build_image_upload_payload(image_bin: str, tone: str) -> Tuple[str, str]:
     Returns:
         Tuple[str, str]: The data and boundary for the payload.
     """
-    boundary = "----WebKitFormBoundary" + ''.join(random.choices(string.ascii_letters + string.digits, k=16))
-    data = f"""--{boundary}
-Content-Disposition: form-data; name="knowledgeRequest"
-
-{json.dumps(build_knowledge_request(tone), ensure_ascii=False)}
---{boundary}
-Content-Disposition: form-data; name="imageBase64"
-
-{image_bin}
---{boundary}--
-"""
-    return data, boundary
+    data = FormData()
+    knowledge_request = json.dumps(build_knowledge_request(tone), ensure_ascii=False)
+    data.add_field('knowledgeRequest', knowledge_request, content_type="application/json")
+    data.add_field('imageBase64', image_bin)
+    return data
 
 def build_knowledge_request(tone: str) -> dict:
     """
@@ -119,7 +109,7 @@ def build_knowledge_request(tone: str) -> dict:
         }
     }
 
-def prepare_headers(session: ClientSession, boundary: str) -> dict:
+def prepare_headers(session: ClientSession) -> dict:
     """
     Prepares the headers for the image upload request.
 
@@ -131,12 +121,11 @@ def prepare_headers(session: ClientSession, boundary: str) -> dict:
         dict: The headers for the request.
     """
     headers = session.headers.copy()
-    headers["Content-Type"] = f'multipart/form-data; boundary={boundary}'
     headers["Referer"] = 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx'
     headers["Origin"] = 'https://www.bing.com'
     return headers
 
-def parse_image_response(response: dict) -> ImageResponse:
+def parse_image_response(response: dict) -> ImageRequest:
     """
     Parses the response from the image upload.
 
@@ -147,7 +136,7 @@ def parse_image_response(response: dict) -> ImageResponse:
         RuntimeError: If parsing the image info fails.
 
     Returns:
-        ImageResponse: The parsed image response.
+        ImageRequest: The parsed image response.
     """
     if not response.get('blobId'):
         raise RuntimeError("Failed to parse image info.")
@@ -160,4 +149,4 @@ def parse_image_response(response: dict) -> ImageResponse:
         if IMAGE_CONFIG["enableFaceBlurDebug"] else
         f"https://www.bing.com/images/blob?bcid={result['bcid']}"
     )
-    return ImageResponse(result["imageUrl"], "", result)
\ No newline at end of file
+    return ImageRequest(result["imageUrl"], "", result)
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/ChatgptDuo.py b/g4f/Provider/deprecated/ChatgptDuo.py
index c2d2de7a..bd9e195d 100644
--- a/g4f/Provider/deprecated/ChatgptDuo.py
+++ b/g4f/Provider/deprecated/ChatgptDuo.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from ...typing import Messages
-from curl_cffi.requests import AsyncSession
+from ...requests import StreamSession
 from ..base_provider import AsyncProvider, format_prompt
 
 
@@ -19,7 +19,7 @@ class ChatgptDuo(AsyncProvider):
         timeout: int = 120,
         **kwargs
     ) -> str:
-        async with AsyncSession(
+        async with StreamSession(
             impersonate="chrome107",
             proxies={"https": proxy},
             timeout=timeout
diff --git a/g4f/Provider/deprecated/GetGpt.py b/g4f/Provider/deprecated/GetGpt.py
index 69851ee5..dd586569 100644
--- a/g4f/Provider/deprecated/GetGpt.py
+++ b/g4f/Provider/deprecated/GetGpt.py
@@ -5,10 +5,10 @@ import os
 import uuid
 
 import requests
-try:
-    from Crypto.Cipher import AES
-except ImportError:
-    from Cryptodome.Cipher import AES
+# try:
+#     from Crypto.Cipher import AES
+# except ImportError:
+#     from Cryptodome.Cipher import AES
 
 from ...typing import Any, CreateResult
 from ..base_provider import AbstractProvider
@@ -57,19 +57,21 @@ class GetGpt(AbstractProvider):
 
 
 def _encrypt(e: str):
-    t = os.urandom(8).hex().encode('utf-8')
-    n = os.urandom(8).hex().encode('utf-8')
-    r = e.encode('utf-8')
+    # t = os.urandom(8).hex().encode('utf-8')
+    # n = os.urandom(8).hex().encode('utf-8')
+    # r = e.encode('utf-8')
     
-    cipher     = AES.new(t, AES.MODE_CBC, n)
-    ciphertext = cipher.encrypt(_pad_data(r))
+    # cipher     = AES.new(t, AES.MODE_CBC, n)
+    # ciphertext = cipher.encrypt(_pad_data(r))
     
-    return ciphertext.hex() + t.decode('utf-8') + n.decode('utf-8')
+    # return ciphertext.hex() + t.decode('utf-8') + n.decode('utf-8')
+    return
 
 
 def _pad_data(data: bytes) -> bytes:
-    block_size   = AES.block_size
-    padding_size = block_size - len(data) % block_size
-    padding      = bytes([padding_size] * padding_size)
+    # block_size   = AES.block_size
+    # padding_size = block_size - len(data) % block_size
+    # padding      = bytes([padding_size] * padding_size)
     
-    return data + padding
+    # return data + padding
+    return
\ No newline at end of file
diff --git a/g4f/Provider/helper.py b/g4f/Provider/helper.py
index cf204e39..0af61d8d 100644
--- a/g4f/Provider/helper.py
+++ b/g4f/Provider/helper.py
@@ -1,57 +1,37 @@
 from __future__ import annotations
 
-import asyncio
 import os
 import random
 import secrets
 import string
-from asyncio import AbstractEventLoop, BaseEventLoop
 from aiohttp import BaseConnector
-from platformdirs import user_config_dir
-from browser_cookie3 import (
-    chrome, chromium, opera, opera_gx,
-    brave, edge, vivaldi, firefox,
-    _LinuxPasswordManager, BrowserCookieError
-)
+
+try:
+    from platformdirs import user_config_dir
+    has_platformdirs = True
+except ImportError:
+    has_platformdirs = False
+try:
+    from browser_cookie3 import (
+        chrome, chromium, opera, opera_gx,
+        brave, edge, vivaldi, firefox,
+        _LinuxPasswordManager, BrowserCookieError
+    )
+    has_browser_cookie3 = True
+except ImportError:
+    has_browser_cookie3 = False
+
 from ..typing import Dict, Messages, Optional
-from ..errors import AiohttpSocksError
+from ..errors import AiohttpSocksError, MissingRequirementsError
 from .. import debug
 
 # Global variable to store cookies
 _cookies: Dict[str, Dict[str, str]] = {}
 
-def get_event_loop() -> AbstractEventLoop:
-    """
-    Get the current asyncio event loop. If the loop is closed or not set, create a new event loop.
-    If a loop is running, handle nested event loops. Patch the loop if 'nest_asyncio' is installed.
-
-    Returns:
-        AbstractEventLoop: The current or new event loop.
-    """
-    try:
-        loop = asyncio.get_event_loop()
-        if isinstance(loop, BaseEventLoop):
-            loop._check_closed()
-    except RuntimeError:
-        loop = asyncio.new_event_loop()
-        asyncio.set_event_loop(loop)
-    try:
-        asyncio.get_running_loop()
-        if not hasattr(loop.__class__, "_nest_patched"):
-            import nest_asyncio
-            nest_asyncio.apply(loop)
-    except RuntimeError:
-        pass
-    except ImportError:
-        raise RuntimeError(
-            'Use "create_async" instead of "create" function in a running event loop. Or install "nest_asyncio" package.'
-        )
-    return loop
-
-if os.environ.get('DBUS_SESSION_BUS_ADDRESS') == "/dev/null":
+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 = '') -> Dict[str, str]:
+def get_cookies(domain_name: str = '', raise_requirements_error: bool = True) -> Dict[str, str]:
     """
     Load cookies for a given domain from all supported browsers and cache the results.
 
@@ -64,11 +44,11 @@ def get_cookies(domain_name: str = '') -> Dict[str, str]:
     if domain_name in _cookies:
         return _cookies[domain_name]
     
-    cookies = _load_cookies_from_browsers(domain_name)
+    cookies = load_cookies_from_browsers(domain_name, raise_requirements_error)
     _cookies[domain_name] = cookies
     return cookies
 
-def _load_cookies_from_browsers(domain_name: str) -> Dict[str, str]:
+def load_cookies_from_browsers(domain_name: str, raise_requirements_error: bool = True) -> Dict[str, str]:
     """
     Helper function to load cookies from various browsers.
 
@@ -78,6 +58,10 @@ def _load_cookies_from_browsers(domain_name: str) -> Dict[str, str]:
     Returns:
         Dict[str, str]: A dictionary of cookie names and values.
     """
+    if not has_browser_cookie3:
+        if raise_requirements_error:
+            raise MissingRequirementsError('Install "browser_cookie3" package')
+        return {}
     cookies = {}
     for cookie_fn in [_g4f, chrome, chromium, opera, opera_gx, brave, edge, vivaldi, firefox]:
         try:
@@ -104,6 +88,8 @@ def _g4f(domain_name: str) -> list:
     Returns:
         list: List of cookies.
     """
+    if not has_platformdirs:
+        return []
     user_data_dir = user_config_dir("g4f")
     cookie_file = os.path.join(user_data_dir, "Default", "Cookies")
     return [] if not os.path.exists(cookie_file) else chrome(cookie_file, domain_name)
diff --git a/g4f/Provider/needs_auth/Bard.py b/g4f/Provider/needs_auth/Bard.py
index aea67874..09ed1c3c 100644
--- a/g4f/Provider/needs_auth/Bard.py
+++ b/g4f/Provider/needs_auth/Bard.py
@@ -2,10 +2,14 @@ from __future__ import annotations
 
 import time
 import os
-from selenium.webdriver.common.by import By
-from selenium.webdriver.support.ui import WebDriverWait
-from selenium.webdriver.support import expected_conditions as EC
-from selenium.webdriver.common.keys import Keys
+
+try:
+    from selenium.webdriver.common.by import By
+    from selenium.webdriver.support.ui import WebDriverWait
+    from selenium.webdriver.support import expected_conditions as EC
+    from selenium.webdriver.common.keys import Keys
+except ImportError:
+    pass
 
 from ...typing import CreateResult, Messages
 from ..base_provider import AbstractProvider
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
index 85866272..b07bd49b 100644
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -1,21 +1,32 @@
 from __future__ import annotations
+
 import asyncio
 import uuid
 import json
 import os
 
-from py_arkose_generator.arkose import get_values_for_request
-from async_property import async_cached_property
-from selenium.webdriver.common.by import By
-from selenium.webdriver.support.ui import WebDriverWait
-from selenium.webdriver.support import expected_conditions as EC
+try:
+    from py_arkose_generator.arkose import get_values_for_request
+    from async_property import async_cached_property
+    has_requirements = True
+except ImportError:
+    async_cached_property = property
+    has_requirements = False
+try:
+    from selenium.webdriver.common.by import By
+    from selenium.webdriver.support.ui import WebDriverWait
+    from selenium.webdriver.support import expected_conditions as EC
+    has_webdriver = True
+except ImportError:
+    has_webdriver = False
 
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..helper import format_prompt, get_cookies
 from ...webdriver import get_browser, get_driver_cookies
-from ...typing import AsyncResult, Messages
+from ...typing import AsyncResult, Messages, Cookies, ImageType
 from ...requests import StreamSession
-from ...image import to_image, to_bytes, ImageType, ImageResponse
+from ...image import to_image, to_bytes, ImageResponse, ImageRequest
+from ...errors import MissingRequirementsError, MissingAccessToken
 
 
 class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
@@ -27,12 +38,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
     supports_gpt_35_turbo = True
     supports_gpt_4 = True
     default_model = None
-    models = ["text-davinci-002-render-sha", "gpt-4", "gpt-4-gizmo"]
-    model_aliases = {
-        "gpt-3.5-turbo": "text-davinci-002-render-sha",
-    }
+    models = ["gpt-3.5-turbo", "gpt-4", "gpt-4-gizmo"]
     _cookies: dict = {}
-    _default_model: str = None
 
     @classmethod
     async def create(
@@ -94,7 +101,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         session: StreamSession,
         headers: dict,
         image: ImageType
-    ) -> ImageResponse:
+    ) -> ImageRequest:
         """
         Upload an image to the service and get the download URL
         
@@ -104,7 +111,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
             image: The image to upload, either a PIL Image object or a bytes object
         
         Returns:
-            An ImageResponse object that contains the download URL, file name, and other data
+            An ImageRequest object that contains the download URL, file name, and other data
         """
         # Convert the image to a PIL Image object and get the extension
         image = to_image(image)
@@ -145,7 +152,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         ) as response:
             response.raise_for_status()
             download_url = (await response.json())["download_url"]
-        return ImageResponse(download_url, image_data["file_name"], image_data)
+        return ImageRequest(download_url, image_data["file_name"], image_data)
     
     @classmethod
     async def get_default_model(cls, session: StreamSession, headers: dict):
@@ -169,7 +176,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         return cls.default_model
     
     @classmethod
-    def create_messages(cls, prompt: str, image_response: ImageResponse = None):
+    def create_messages(cls, prompt: str, image_response: ImageRequest = None):
         """
         Create a list of messages for the user input
         
@@ -282,7 +289,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         proxy: str = None,
         timeout: int = 120,
         access_token: str = None,
-        cookies: dict = None,
+        cookies: Cookies = None,
         auto_continue: bool = False,
         history_disabled: bool = True,
         action: str = "next",
@@ -317,12 +324,16 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         Raises:
             RuntimeError: If an error occurs during processing.
         """
+        if not has_requirements:
+            raise MissingRequirementsError('Install "py-arkose-generator" and "async_property" package')
         if not parent_id:
             parent_id = str(uuid.uuid4())
         if not cookies:
-            cookies = cls._cookies or get_cookies("chat.openai.com")
+            cookies = cls._cookies or get_cookies("chat.openai.com", False)
         if not access_token and "access_token" in cookies:
             access_token = cookies["access_token"]
+        if not access_token and not has_webdriver:
+            raise MissingAccessToken(f'Missing "access_token"')
         if not access_token:
             login_url = os.environ.get("G4F_LOGIN_URL")
             if login_url:
@@ -331,7 +342,6 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
             cls._cookies = cookies
 
         headers = {"Authorization": f"Bearer {access_token}"}
-
         async with StreamSession(
             proxies={"https": proxy},
             impersonate="chrome110",
@@ -346,13 +356,15 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
             except Exception as e:
                 yield e
             end_turn = EndTurn()
+            model = cls.get_model(model or await cls.get_default_model(session, headers))
+            model = "text-davinci-002-render-sha" if model == "gpt-3.5-turbo" else model
             while not end_turn.is_end:
                 data = {
                     "action": action,
                     "arkose_token": await cls.get_arkose_token(session),
                     "conversation_id": conversation_id,
                     "parent_message_id": parent_id,
-                    "model": cls.get_model(model or await cls.get_default_model(session, headers)),
+                    "model": model,
                     "history_and_training_disabled": history_disabled and not auto_continue,
                 }
                 if action != "continue":
diff --git a/g4f/Provider/selenium/PerplexityAi.py b/g4f/Provider/selenium/PerplexityAi.py
index 4796f709..8ae6ad2b 100644
--- a/g4f/Provider/selenium/PerplexityAi.py
+++ b/g4f/Provider/selenium/PerplexityAi.py
@@ -1,10 +1,14 @@
 from __future__ import annotations
 
 import time
-from selenium.webdriver.common.by import By
-from selenium.webdriver.support.ui import WebDriverWait
-from selenium.webdriver.support import expected_conditions as EC
-from selenium.webdriver.common.keys import Keys
+
+try:
+    from selenium.webdriver.common.by import By
+    from selenium.webdriver.support.ui import WebDriverWait
+    from selenium.webdriver.support import expected_conditions as EC
+    from selenium.webdriver.common.keys import Keys
+except ImportError:
+    pass
 
 from ...typing import CreateResult, Messages
 from ..base_provider import AbstractProvider