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-rw-r--r--g4f/Provider/Airforce.py24
-rw-r--r--g4f/Provider/Blackbox.py44
-rw-r--r--g4f/Provider/Copilot.py9
-rw-r--r--g4f/Provider/PollinationsAI.py7
-rw-r--r--g4f/Provider/ReplicateHome.py46
-rw-r--r--g4f/Provider/RubiksAI.py8
-rw-r--r--g4f/Provider/base_provider.py4
-rw-r--r--g4f/Provider/bing/conversation.py2
-rw-r--r--g4f/Provider/needs_auth/BingCreateImages.py3
-rw-r--r--g4f/Provider/needs_auth/DeepInfraImage.py3
-rw-r--r--g4f/Provider/needs_auth/OpenaiChat.py2
-rw-r--r--g4f/api/__init__.py57
-rw-r--r--g4f/client/__init__.py324
-rw-r--r--g4f/client/helper.py4
-rw-r--r--g4f/client/image_models.py2
-rw-r--r--g4f/client/types.py2
-rw-r--r--g4f/gui/client/index.html5
-rw-r--r--g4f/gui/client/static/css/style.css1
-rw-r--r--g4f/gui/client/static/js/chat.v1.js16
-rw-r--r--g4f/gui/server/api.py99
-rw-r--r--g4f/gui/server/backend.py7
-rw-r--r--g4f/gui/server/internet.py20
-rw-r--r--g4f/image.py48
-rw-r--r--g4f/providers/base_provider.py9
-rw-r--r--g4f/providers/conversation.py2
-rw-r--r--g4f/providers/response.py26
-rw-r--r--g4f/providers/types.py5
-rw-r--r--g4f/typing.py8
28 files changed, 463 insertions, 324 deletions
diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
index 54bb543b..f5bcfefa 100644
--- a/g4f/Provider/Airforce.py
+++ b/g4f/Provider/Airforce.py
@@ -20,7 +20,7 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
working = True
supports_system_message = True
supports_message_history = True
-
+
@classmethod
def fetch_completions_models(cls):
response = requests.get('https://api.airforce/models', verify=False)
@@ -34,19 +34,20 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
response.raise_for_status()
return response.json()
- completions_models = fetch_completions_models.__func__(None)
- imagine_models = fetch_imagine_models.__func__(None)
-
default_model = "gpt-4o-mini"
default_image_model = "flux"
additional_models_imagine = ["stable-diffusion-xl-base", "stable-diffusion-xl-lightning", "Flux-1.1-Pro"]
- text_models = completions_models
- image_models = [*imagine_models, *additional_models_imagine]
- models = [
- *text_models,
- *image_models,
- ]
-
+
+ @classmethod
+ def get_models(cls):
+ if not cls.models:
+ cls.image_models = [*cls.fetch_imagine_models(), *cls.additional_models_imagine]
+ cls.models = [
+ *cls.fetch_completions_models(),
+ *cls.image_models
+ ]
+ return cls.models
+
model_aliases = {
### completions ###
# openchat
@@ -100,7 +101,6 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
-
if model in cls.image_models:
return cls._generate_image(model, messages, proxy, seed, size)
else:
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py
index b259b4aa..41905537 100644
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -20,15 +20,15 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
supports_system_message = True
supports_message_history = True
_last_validated_value = None
-
+
default_model = 'blackboxai'
default_vision_model = default_model
default_image_model = 'Image Generation'
image_models = ['Image Generation', 'repomap']
vision_models = [default_model, 'gpt-4o', 'gemini-pro', 'gemini-1.5-flash', 'llama-3.1-8b', 'llama-3.1-70b', 'llama-3.1-405b']
-
+
userSelectedModel = ['gpt-4o', 'gemini-pro', 'claude-sonnet-3.5', 'blackboxai-pro']
-
+
agentMode = {
'Image Generation': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
}
@@ -77,22 +77,21 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
}
additional_prefixes = {
- 'gpt-4o': '@gpt-4o',
- 'gemini-pro': '@gemini-pro',
- 'claude-sonnet-3.5': '@claude-sonnet'
- }
+ 'gpt-4o': '@gpt-4o',
+ 'gemini-pro': '@gemini-pro',
+ 'claude-sonnet-3.5': '@claude-sonnet'
+ }
model_prefixes = {
- **{mode: f"@{value['id']}" for mode, value in trendingAgentMode.items()
- if mode not in ["gemini-1.5-flash", "llama-3.1-8b", "llama-3.1-70b", "llama-3.1-405b", "repomap"]},
- **additional_prefixes
- }
+ **{
+ mode: f"@{value['id']}" for mode, value in trendingAgentMode.items()
+ if mode not in ["gemini-1.5-flash", "llama-3.1-8b", "llama-3.1-70b", "llama-3.1-405b", "repomap"]
+ },
+ **additional_prefixes
+ }
-
models = list(dict.fromkeys([default_model, *userSelectedModel, *list(agentMode.keys()), *list(trendingAgentMode.keys())]))
-
-
model_aliases = {
"gemini-flash": "gemini-1.5-flash",
"claude-3.5-sonnet": "claude-sonnet-3.5",
@@ -131,12 +130,11 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
return cls._last_validated_value
-
@staticmethod
def generate_id(length=7):
characters = string.ascii_letters + string.digits
return ''.join(random.choice(characters) for _ in range(length))
-
+
@classmethod
def add_prefix_to_messages(cls, messages: Messages, model: str) -> Messages:
prefix = cls.model_prefixes.get(model, "")
@@ -157,6 +155,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
cls,
model: str,
messages: Messages,
+ prompt: str = None,
proxy: str = None,
web_search: bool = False,
image: ImageType = None,
@@ -191,7 +190,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36'
}
-
+
data = {
"messages": messages,
"id": message_id,
@@ -221,26 +220,25 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
response_text = await response.text()
-
+
if model in cls.image_models:
image_matches = re.findall(r'!\[.*?\]\((https?://[^\)]+)\)', response_text)
if image_matches:
image_url = image_matches[0]
- image_response = ImageResponse(images=[image_url], alt="Generated Image")
- yield image_response
+ yield ImageResponse(image_url, prompt)
return
response_text = re.sub(r'Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai', '', response_text, flags=re.DOTALL)
-
+
json_match = re.search(r'\$~~~\$(.*?)\$~~~\$', response_text, re.DOTALL)
if json_match:
search_results = json.loads(json_match.group(1))
answer = response_text.split('$~~~$')[-1].strip()
-
+
formatted_response = f"{answer}\n\n**Source:**"
for i, result in enumerate(search_results, 1):
formatted_response += f"\n{i}. {result['title']}: {result['link']}"
-
+
yield formatted_response
else:
yield response_text.strip()
diff --git a/g4f/Provider/Copilot.py b/g4f/Provider/Copilot.py
index e8eea0a5..e10a55e8 100644
--- a/g4f/Provider/Copilot.py
+++ b/g4f/Provider/Copilot.py
@@ -57,6 +57,7 @@ class Copilot(AbstractProvider):
image: ImageType = None,
conversation: Conversation = None,
return_conversation: bool = False,
+ web_search: bool = True,
**kwargs
) -> CreateResult:
if not has_curl_cffi:
@@ -124,12 +125,14 @@ class Copilot(AbstractProvider):
is_started = False
msg = None
image_prompt: str = None
+ last_msg = None
while True:
try:
msg = wss.recv()[0]
msg = json.loads(msg)
except:
break
+ last_msg = msg
if msg.get("event") == "appendText":
is_started = True
yield msg.get("text")
@@ -139,8 +142,12 @@ class Copilot(AbstractProvider):
yield ImageResponse(msg.get("url"), image_prompt, {"preview": msg.get("thumbnailUrl")})
elif msg.get("event") == "done":
break
+ elif msg.get("event") == "error":
+ raise RuntimeError(f"Error: {msg}")
+ elif msg.get("event") not in ["received", "startMessage", "citation", "partCompleted"]:
+ debug.log(f"Copilot Message: {msg}")
if not is_started:
- raise RuntimeError(f"Last message: {msg}")
+ raise RuntimeError(f"Invalid response: {last_msg}")
@classmethod
async def get_access_token_and_cookies(cls, proxy: str = None):
diff --git a/g4f/Provider/PollinationsAI.py b/g4f/Provider/PollinationsAI.py
index 57597bf1..a30f896d 100644
--- a/g4f/Provider/PollinationsAI.py
+++ b/g4f/Provider/PollinationsAI.py
@@ -3,7 +3,6 @@ from __future__ import annotations
from urllib.parse import quote
import random
import requests
-from sys import maxsize
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
@@ -40,6 +39,7 @@ class PollinationsAI(OpenaiAPI):
cls,
model: str,
messages: Messages,
+ prompt: str = None,
api_base: str = "https://text.pollinations.ai/openai",
api_key: str = None,
proxy: str = None,
@@ -49,9 +49,10 @@ class PollinationsAI(OpenaiAPI):
if model:
model = cls.get_model(model)
if model in cls.image_models:
- prompt = messages[-1]["content"]
+ if prompt is None:
+ prompt = messages[-1]["content"]
if seed is None:
- seed = random.randint(0, maxsize)
+ seed = random.randint(0, 100000)
image = f"https://image.pollinations.ai/prompt/{quote(prompt)}?width=1024&height=1024&seed={int(seed)}&nofeed=true&nologo=true&model={quote(model)}"
yield ImageResponse(image, prompt)
return
diff --git a/g4f/Provider/ReplicateHome.py b/g4f/Provider/ReplicateHome.py
index a7fc9b54..00de09e0 100644
--- a/g4f/Provider/ReplicateHome.py
+++ b/g4f/Provider/ReplicateHome.py
@@ -6,6 +6,8 @@ from aiohttp import ClientSession, ContentTypeError
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..requests.aiohttp import get_connector
+from ..requests.raise_for_status import raise_for_status
from .helper import format_prompt
from ..image import ImageResponse
@@ -32,10 +34,8 @@ class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin):
'yorickvp/llava-13b',
]
-
-
models = text_models + image_models
-
+
model_aliases = {
# image_models
"sd-3": "stability-ai/stable-diffusion-3",
@@ -56,23 +56,14 @@ class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin):
# text_models
"google-deepmind/gemma-2b-it": "dff94eaf770e1fc211e425a50b51baa8e4cac6c39ef074681f9e39d778773626",
"yorickvp/llava-13b": "80537f9eead1a5bfa72d5ac6ea6414379be41d4d4f6679fd776e9535d1eb58bb",
-
}
@classmethod
- def get_model(cls, model: str) -> str:
- if model in cls.models:
- return model
- elif model in cls.model_aliases:
- return cls.model_aliases[model]
- else:
- return cls.default_model
-
- @classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
+ prompt: str = None,
proxy: str = None,
**kwargs
) -> AsyncResult:
@@ -96,29 +87,30 @@ class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin):
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36"
}
- async with ClientSession(headers=headers) as session:
- if model in cls.image_models:
- prompt = messages[-1]['content'] if messages else ""
- else:
- prompt = format_prompt(messages)
-
+ async with ClientSession(headers=headers, connector=get_connector(proxy=proxy)) as session:
+ if prompt is None:
+ if model in cls.image_models:
+ prompt = messages[-1]['content']
+ else:
+ prompt = format_prompt(messages)
+
data = {
"model": model,
"version": cls.model_versions[model],
"input": {"prompt": prompt},
}
-
- async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
- response.raise_for_status()
+
+ async with session.post(cls.api_endpoint, json=data) as response:
+ await raise_for_status(response)
result = await response.json()
prediction_id = result['id']
-
+
poll_url = f"https://homepage.replicate.com/api/poll?id={prediction_id}"
max_attempts = 30
delay = 5
for _ in range(max_attempts):
- async with session.get(poll_url, proxy=proxy) as response:
- response.raise_for_status()
+ async with session.get(poll_url) as response:
+ await raise_for_status(response)
try:
result = await response.json()
except ContentTypeError:
@@ -131,7 +123,7 @@ class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin):
if result['status'] == 'succeeded':
if model in cls.image_models:
image_url = result['output'][0]
- yield ImageResponse(image_url, "Generated image")
+ yield ImageResponse(image_url, prompt)
return
else:
for chunk in result['output']:
@@ -140,6 +132,6 @@ class ReplicateHome(AsyncGeneratorProvider, ProviderModelMixin):
elif result['status'] == 'failed':
raise Exception(f"Prediction failed: {result.get('error')}")
await asyncio.sleep(delay)
-
+
if result['status'] != 'succeeded':
raise Exception("Prediction timed out")
diff --git a/g4f/Provider/RubiksAI.py b/g4f/Provider/RubiksAI.py
index c06e6c3d..816ea60c 100644
--- a/g4f/Provider/RubiksAI.py
+++ b/g4f/Provider/RubiksAI.py
@@ -9,7 +9,7 @@ from urllib.parse import urlencode
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin, Sources
from ..requests.raise_for_status import raise_for_status
class RubiksAI(AsyncGeneratorProvider, ProviderModelMixin):
@@ -23,7 +23,6 @@ class RubiksAI(AsyncGeneratorProvider, ProviderModelMixin):
default_model = 'gpt-4o-mini'
models = [default_model, 'gpt-4o', 'o1-mini', 'claude-3.5-sonnet', 'grok-beta', 'gemini-1.5-pro', 'nova-pro']
-
model_aliases = {
"llama-3.1-70b": "llama-3.1-70b-versatile",
}
@@ -118,7 +117,7 @@ class RubiksAI(AsyncGeneratorProvider, ProviderModelMixin):
if 'url' in json_data and 'title' in json_data:
if web_search:
- sources.append({'title': json_data['title'], 'url': json_data['url']})
+ sources.append(json_data)
elif 'choices' in json_data:
for choice in json_data['choices']:
@@ -128,5 +127,4 @@ class RubiksAI(AsyncGeneratorProvider, ProviderModelMixin):
yield content
if web_search and sources:
- sources_text = '\n'.join([f"{i+1}. [{s['title']}]: {s['url']}" for i, s in enumerate(sources)])
- yield f"\n\n**Source:**\n{sources_text}" \ No newline at end of file
+ yield Sources(sources) \ No newline at end of file
diff --git a/g4f/Provider/base_provider.py b/g4f/Provider/base_provider.py
index 667f6964..c0d8edf0 100644
--- a/g4f/Provider/base_provider.py
+++ b/g4f/Provider/base_provider.py
@@ -1,4 +1,4 @@
from ..providers.base_provider import *
-from ..providers.types import FinishReason, Streaming
-from ..providers.conversation import BaseConversation
+from ..providers.types import Streaming
+from ..providers.response import BaseConversation, Sources, FinishReason
from .helper import get_cookies, format_prompt \ No newline at end of file
diff --git a/g4f/Provider/bing/conversation.py b/g4f/Provider/bing/conversation.py
index b5c237f9..43bcbb4d 100644
--- a/g4f/Provider/bing/conversation.py
+++ b/g4f/Provider/bing/conversation.py
@@ -2,7 +2,7 @@ from __future__ import annotations
from ...requests import StreamSession, raise_for_status
from ...errors import RateLimitError
-from ...providers.conversation import BaseConversation
+from ...providers.response import BaseConversation
class Conversation(BaseConversation):
"""
diff --git a/g4f/Provider/needs_auth/BingCreateImages.py b/g4f/Provider/needs_auth/BingCreateImages.py
index 80984d40..b95a78c3 100644
--- a/g4f/Provider/needs_auth/BingCreateImages.py
+++ b/g4f/Provider/needs_auth/BingCreateImages.py
@@ -28,13 +28,14 @@ class BingCreateImages(AsyncGeneratorProvider, ProviderModelMixin):
cls,
model: str,
messages: Messages,
+ prompt: str = None,
api_key: str = None,
cookies: Cookies = None,
proxy: str = None,
**kwargs
) -> AsyncResult:
session = BingCreateImages(cookies, proxy, api_key)
- yield await session.generate(messages[-1]["content"])
+ yield await session.generate(messages[-1]["content"] if prompt is None else prompt)
async def generate(self, prompt: str) -> ImageResponse:
"""
diff --git a/g4f/Provider/needs_auth/DeepInfraImage.py b/g4f/Provider/needs_auth/DeepInfraImage.py
index 24df04e3..44790561 100644
--- a/g4f/Provider/needs_auth/DeepInfraImage.py
+++ b/g4f/Provider/needs_auth/DeepInfraImage.py
@@ -29,9 +29,10 @@ class DeepInfraImage(AsyncGeneratorProvider, ProviderModelMixin):
cls,
model: str,
messages: Messages,
+ prompt: str = None,
**kwargs
) -> AsyncResult:
- yield await cls.create_async(messages[-1]["content"], model, **kwargs)
+ yield await cls.create_async(messages[-1]["content"] if prompt is None else prompt, model, **kwargs)
@classmethod
async def create_async(
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
index 97515ec4..587c0a23 100644
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -28,7 +28,7 @@ from ...requests.raise_for_status import raise_for_status
from ...requests.aiohttp import StreamSession
from ...image import ImageResponse, ImageRequest, to_image, to_bytes, is_accepted_format
from ...errors import MissingAuthError, ResponseError
-from ...providers.conversation import BaseConversation
+from ...providers.response import BaseConversation
from ..helper import format_cookies
from ..openai.har_file import get_request_config, NoValidHarFileError
from ..openai.har_file import RequestConfig, arkReq, arkose_url, start_url, conversation_url, backend_url, backend_anon_url
diff --git a/g4f/api/__init__.py b/g4f/api/__init__.py
index 02ba5260..21e69388 100644
--- a/g4f/api/__init__.py
+++ b/g4f/api/__init__.py
@@ -4,6 +4,7 @@ import logging
import json
import uvicorn
import secrets
+import os
from fastapi import FastAPI, Response, Request
from fastapi.responses import StreamingResponse, RedirectResponse, HTMLResponse, JSONResponse
@@ -13,13 +14,16 @@ from starlette.exceptions import HTTPException
from starlette.status import HTTP_422_UNPROCESSABLE_ENTITY, HTTP_401_UNAUTHORIZED, HTTP_403_FORBIDDEN
from fastapi.encoders import jsonable_encoder
from fastapi.middleware.cors import CORSMiddleware
+from starlette.responses import FileResponse
from pydantic import BaseModel
from typing import Union, Optional
import g4f
import g4f.debug
from g4f.client import AsyncClient, ChatCompletion
+from g4f.providers.response import BaseConversation
from g4f.client.helper import filter_none
+from g4f.image import is_accepted_format, images_dir
from g4f.typing import Messages
from g4f.cookies import read_cookie_files
@@ -63,6 +67,7 @@ class ChatCompletionsConfig(BaseModel):
api_key: Optional[str] = None
web_search: Optional[bool] = None
proxy: Optional[str] = None
+ conversation_id: str = None
class ImageGenerationConfig(BaseModel):
prompt: str
@@ -98,6 +103,7 @@ class Api:
self.client = AsyncClient()
self.g4f_api_key = g4f_api_key
self.get_g4f_api_key = APIKeyHeader(name="g4f-api-key")
+ self.conversations: dict[str, dict[str, BaseConversation]] = {}
def register_authorization(self):
@self.app.middleware("http")
@@ -179,12 +185,21 @@ class Api:
async def chat_completions(config: ChatCompletionsConfig, request: Request = None, provider: str = None):
try:
config.provider = provider if config.provider is None else config.provider
+ if config.provider is None:
+ config.provider = AppConfig.provider
if config.api_key is None and request is not None:
auth_header = request.headers.get("Authorization")
if auth_header is not None:
- auth_header = auth_header.split(None, 1)[-1]
- if auth_header and auth_header != "Bearer":
- config.api_key = auth_header
+ api_key = auth_header.split(None, 1)[-1]
+ if api_key and api_key != "Bearer":
+ config.api_key = api_key
+
+ conversation = return_conversation = None
+ if config.conversation_id is not None and config.provider is not None:
+ return_conversation = True
+ if config.conversation_id in self.conversations:
+ if config.provider in self.conversations[config.conversation_id]:
+ conversation = self.conversations[config.conversation_id][config.provider]
# Create the completion response
response = self.client.chat.completions.create(
@@ -194,6 +209,11 @@ class Api:
"provider": AppConfig.provider,
"proxy": AppConfig.proxy,
**config.dict(exclude_none=True),
+ **{
+ "conversation_id": None,
+ "return_conversation": return_conversation,
+ "conversation": conversation
+ }
},
ignored=AppConfig.ignored_providers
),
@@ -206,7 +226,13 @@ class Api:
async def streaming():
try:
async for chunk in response:
- yield f"data: {json.dumps(chunk.to_json())}\n\n"
+ if isinstance(chunk, BaseConversation):
+ if config.conversation_id is not None and config.provider is not None:
+ if config.conversation_id not in self.conversations:
+ self.conversations[config.conversation_id] = {}
+ self.conversations[config.conversation_id][config.provider] = chunk
+ else:
+ yield f"data: {json.dumps(chunk.to_json())}\n\n"
except GeneratorExit:
pass
except Exception as e:
@@ -222,7 +248,13 @@ class Api:
@self.app.post("/v1/images/generate")
@self.app.post("/v1/images/generations")
- async def generate_image(config: ImageGenerationConfig):
+ async def generate_image(config: ImageGenerationConfig, request: Request):
+ if config.api_key is None:
+ auth_header = request.headers.get("Authorization")
+ if auth_header is not None:
+ api_key = auth_header.split(None, 1)[-1]
+ if api_key and api_key != "Bearer":
+ config.api_key = api_key
try:
response = await self.client.images.generate(
prompt=config.prompt,
@@ -234,6 +266,9 @@ class Api:
proxy = config.proxy
)
)
+ for image in response.data:
+ if hasattr(image, "url") and image.url.startswith("/"):
+ image.url = f"{request.base_url}{image.url.lstrip('/')}"
return JSONResponse(response.to_json())
except Exception as e:
logger.exception(e)
@@ -243,6 +278,18 @@ class Api:
async def completions():
return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")
+ @self.app.get("/images/{filename}")
+ async def get_image(filename):
+ target = os.path.join(images_dir, filename)
+
+ if not os.path.isfile(target):
+ return Response(status_code=404)
+
+ with open(target, "rb") as f:
+ content_type = is_accepted_format(f.read(12))
+
+ return FileResponse(target, media_type=content_type)
+
def format_exception(e: Exception, config: Union[ChatCompletionsConfig, ImageGenerationConfig], image: bool = False) -> str:
last_provider = {} if not image else g4f.get_last_provider(True)
provider = (AppConfig.image_provider if image else AppConfig.provider) if config.provider is None else config.provider
diff --git a/g4f/client/__init__.py b/g4f/client/__init__.py
index 549a244b..dea19a60 100644
--- a/g4f/client/__init__.py
+++ b/g4f/client/__init__.py
@@ -6,24 +6,27 @@ import random
import string
import asyncio
import base64
-import aiohttp
import logging
-from typing import Union, AsyncIterator, Iterator, Coroutine
+from typing import Union, AsyncIterator, Iterator, Coroutine, Optional
from ..providers.base_provider import AsyncGeneratorProvider
-from ..image import ImageResponse, to_image, to_data_uri, is_accepted_format, EXTENSIONS_MAP
-from ..typing import Messages, Image
-from ..providers.types import ProviderType, FinishReason, BaseConversation
-from ..errors import NoImageResponseError
+from ..image import ImageResponse, copy_images, images_dir
+from ..typing import Messages, Image, ImageType
+from ..providers.types import ProviderType
+from ..providers.response import ResponseType, FinishReason, BaseConversation
+from ..errors import NoImageResponseError, ModelNotFoundError
from ..providers.retry_provider import IterListProvider
+from ..providers.base_provider import get_running_loop
from ..Provider.needs_auth.BingCreateImages import BingCreateImages
-from ..requests.aiohttp import get_connector
from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
from .image_models import ImageModels
from .types import IterResponse, ImageProvider, Client as BaseClient
from .service import get_model_and_provider, get_last_provider, convert_to_provider
from .helper import find_stop, filter_json, filter_none, safe_aclose, to_sync_iter, to_async_iterator
+ChatCompletionResponseType = Iterator[Union[ChatCompletion, ChatCompletionChunk, BaseConversation]]
+AsyncChatCompletionResponseType = AsyncIterator[Union[ChatCompletion, ChatCompletionChunk, BaseConversation]]
+
try:
anext # Python 3.8+
except NameError:
@@ -35,12 +38,12 @@ except NameError:
# Synchronous iter_response function
def iter_response(
- response: Union[Iterator[str], AsyncIterator[str]],
+ response: Union[Iterator[Union[str, ResponseType]]],
stream: bool,
- response_format: dict = None,
- max_tokens: int = None,
- stop: list = None
-) -> Iterator[Union[ChatCompletion, ChatCompletionChunk]]:
+ response_format: Optional[dict] = None,
+ max_tokens: Optional[int] = None,
+ stop: Optional[list[str]] = None
+) -> ChatCompletionResponseType:
content = ""
finish_reason = None
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
@@ -88,22 +91,23 @@ def iter_response(
yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
# Synchronous iter_append_model_and_provider function
-def iter_append_model_and_provider(response: Iterator[ChatCompletionChunk]) -> Iterator[ChatCompletionChunk]:
+def iter_append_model_and_provider(response: ChatCompletionResponseType) -> ChatCompletionResponseType:
last_provider = None
for chunk in response:
- last_provider = get_last_provider(True) if last_provider is None else last_provider
- chunk.model = last_provider.get("model")
- chunk.provider = last_provider.get("name")
- yield chunk
+ if isinstance(chunk, (ChatCompletion, ChatCompletionChunk)):
+ last_provider = get_last_provider(True) if last_provider is None else last_provider
+ chunk.model = last_provider.get("model")
+ chunk.provider = last_provider.get("name")
+ yield chunk
async def async_iter_response(
- response: AsyncIterator[str],
+ response: AsyncIterator[Union[str, ResponseType]],
stream: bool,
- response_format: dict = None,
- max_tokens: int = None,
- stop: list = None
-) -> AsyncIterator[Union[ChatCompletion, ChatCompletionChunk]]:
+ response_format: Optional[dict] = None,
+ max_tokens: Optional[int] = None,
+ stop: Optional[list[str]] = None
+) -> AsyncChatCompletionResponseType:
content = ""
finish_reason = None
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
@@ -149,13 +153,16 @@ async def async_iter_response(
if hasattr(response, 'aclose'):
await safe_aclose(response)
-async def async_iter_append_model_and_provider(response: AsyncIterator[ChatCompletionChunk]) -> AsyncIterator:
+async def async_iter_append_model_and_provider(
+ response: AsyncChatCompletionResponseType
+ ) -> AsyncChatCompletionResponseType:
last_provider = None
try:
async for chunk in response:
- last_provider = get_last_provider(True) if last_provider is None else last_provider
- chunk.model = last_provider.get("model")
- chunk.provider = last_provider.get("name")
+ if isinstance(chunk, (ChatCompletion, ChatCompletionChunk)):
+ last_provider = get_last_provider(True) if last_provider is None else last_provider
+ chunk.model = last_provider.get("model")
+ chunk.provider = last_provider.get("name")
yield chunk
finally:
if hasattr(response, 'aclose'):
@@ -164,8 +171,8 @@ async def async_iter_append_model_and_provider(response: AsyncIterator[ChatCompl
class Client(BaseClient):
def __init__(
self,
- provider: ProviderType = None,
- image_provider: ImageProvider = None,
+ provider: Optional[ProviderType] = None,
+ image_provider: Optional[ImageProvider] = None,
**kwargs
) -> None:
super().__init__(**kwargs)
@@ -173,7 +180,7 @@ class Client(BaseClient):
self.images: Images = Images(self, image_provider)
class Completions:
- def __init__(self, client: Client, provider: ProviderType = None):
+ def __init__(self, client: Client, provider: Optional[ProviderType] = None):
self.client: Client = client
self.provider: ProviderType = provider
@@ -181,16 +188,16 @@ class Completions:
self,
messages: Messages,
model: str,
- provider: ProviderType = None,
- stream: bool = False,
- proxy: str = None,
- response_format: dict = None,
- max_tokens: int = None,
- stop: Union[list[str], str] = None,
- api_key: str = None,
- ignored: list[str] = None,
- ignore_working: bool = False,
- ignore_stream: bool = False,
+ provider: Optional[ProviderType] = None,
+ stream: Optional[bool] = False,
+ proxy: Optional[str] = None,
+ response_format: Optional[dict] = None,
+ max_tokens: Optional[int] = None,
+ stop: Optional[Union[list[str], str]] = None,
+ api_key: Optional[str] = None,
+ ignored: Optional[list[str]] = None,
+ ignore_working: Optional[bool] = False,
+ ignore_stream: Optional[bool] = False,
**kwargs
) -> IterResponse:
model, provider = get_model_and_provider(
@@ -234,22 +241,38 @@ class Completions:
class Chat:
completions: Completions
- def __init__(self, client: Client, provider: ProviderType = None):
+ def __init__(self, client: Client, provider: Optional[ProviderType] = None):
self.completions = Completions(client, provider)
class Images:
- def __init__(self, client: Client, provider: ProviderType = None):
+ def __init__(self, client: Client, provider: Optional[ProviderType] = None):
self.client: Client = client
- self.provider: ProviderType = provider
+ self.provider: Optional[ProviderType] = provider
self.models: ImageModels = ImageModels(client)
- def generate(self, prompt: str, model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
+ def generate(
+ self,
+ prompt: str,
+ model: str = None,
+ provider: Optional[ProviderType] = None,
+ response_format: str = "url",
+ proxy: Optional[str] = None,
+ **kwargs
+ ) -> ImagesResponse:
"""
Synchronous generate method that runs the async_generate method in an event loop.
"""
- return asyncio.run(self.async_generate(prompt, model, provider, response_format=response_format, proxy=proxy, **kwargs))
+ return asyncio.run(self.async_generate(prompt, model, provider, response_format, proxy, **kwargs))
- async def async_generate(self, prompt: str, model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
+ async def async_generate(
+ self,
+ prompt: str,
+ model: Optional[str] = None,
+ provider: Optional[ProviderType] = None,
+ response_format: Optional[str] = "url",
+ proxy: Optional[str] = None,
+ **kwargs
+ ) -> ImagesResponse:
if provider is None:
provider_handler = self.models.get(model, provider or self.provider or BingCreateImages)
elif isinstance(provider, str):
@@ -257,97 +280,73 @@ class Images:
else:
provider_handler = provider
if provider_handler is None:
- raise ValueError(f"Unknown model: {model}")
- if proxy is None:
- proxy = self.client.proxy
-
+ raise ModelNotFoundError(f"Unknown model: {model}")
if isinstance(provider_handler, IterListProvider):
if provider_handler.providers:
provider_handler = provider_handler.providers[0]
else:
- raise ValueError(f"IterListProvider for model {model} has no providers")
+ raise ModelNotFoundError(f"IterListProvider for model {model} has no providers")
+ if proxy is None:
+ proxy = self.client.proxy
response = None
- if hasattr(provider_handler, "create_async_generator"):
- messages = [{"role": "user", "content": prompt}]
- async for item in provider_handler.create_async_generator(model, messages, **kwargs):
+ if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
+ messages = [{"role": "user", "content": f"Generate a image: {prompt}"}]
+ async for item in provider_handler.create_async_generator(model, messages, prompt=prompt, **kwargs):
if isinstance(item, ImageResponse):
response = item
break
- elif hasattr(provider, 'create'):
+ elif hasattr(provider_handler, 'create'):
if asyncio.iscoroutinefunction(provider_handler.create):
response = await provider_handler.create(prompt)
else:
response = provider_handler.create(prompt)
if isinstance(response, str):
response = ImageResponse([response], prompt)
+ elif hasattr(provider_handler, "create_completion"):
+ get_running_loop(check_nested=True)
+ messages = [{"role": "user", "content": f"Generate a image: {prompt}"}]
+ for item in provider_handler.create_completion(model, messages, prompt=prompt, **kwargs):
+ if isinstance(item, ImageResponse):
+ response = item
+ break
else:
raise ValueError(f"Provider {provider} does not support image generation")
if isinstance(response, ImageResponse):
- return await self._process_image_response(response, response_format, proxy, model=model, provider=provider)
-
+ return await self._process_image_response(
+ response,
+ response_format,
+ proxy,
+ model,
+ getattr(provider_handler, "__name__", None)
+ )
raise NoImageResponseError(f"Unexpected response type: {type(response)}")
- async def _process_image_response(self, response: ImageResponse, response_format: str, proxy: str = None, model: str = None, provider: str = None) -> ImagesResponse:
- async def process_image_item(session: aiohttp.ClientSession, image_data: str):
- image_data_bytes = None
- if image_data.startswith("http://") or image_data.startswith("https://"):
- if response_format == "url":
- return Image(url=image_data, revised_prompt=response.alt)
- elif response_format == "b64_json":
- # Fetch the image data and convert it to base64
- image_data_bytes = await self._fetch_image(session, image_data)
- b64_json = base64.b64encode(image_data_bytes).decode("utf-8")
- return Image(b64_json=b64_json, url=image_data, revised_prompt=response.alt)
- else:
- # Assume image_data is base64 data or binary
- if response_format == "url":
- if image_data.startswith("data:image"):
- # Remove the data URL scheme and get the base64 data
- base64_data = image_data.split(",", 1)[-1]
- else:
- base64_data = image_data
- # Decode the base64 data
- image_data_bytes = base64.b64decode(base64_data)
- if image_data_bytes:
- file_name = self._save_image(image_data_bytes)
- return Image(url=file_name, revised_prompt=response.alt)
- else:
- raise ValueError("Unable to process image data")
-
- last_provider = get_last_provider(True)
- async with aiohttp.ClientSession(cookies=response.get("cookies"), connector=get_connector(proxy=proxy)) as session:
- return ImagesResponse(
- await asyncio.gather(*[process_image_item(session, image_data) for image_data in response.get_list()]),
- model=last_provider.get("model") if model is None else model,
- provider=last_provider.get("name") if provider is None else provider
- )
-
- async def _fetch_image(self, session: aiohttp.ClientSession, url: str) -> bytes:
- # Asynchronously fetch image data from the URL
- async with session.get(url) as resp:
- if resp.status == 200:
- return await resp.read()
- else:
- raise RuntimeError(f"Failed to fetch image from {url}, status code {resp.status}")
-
- def _save_image(self, image_data_bytes: bytes) -> str:
- os.makedirs('generated_images', exist_ok=True)
- image = to_image(image_data_bytes)
- file_name = f"generated_images/image_{int(time.time())}_{random.randint(0, 10000)}.{EXTENSIONS_MAP[is_accepted_format(image_data_bytes)]}"
- image.save(file_name)
- return file_name
-
- def create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
+ def create_variation(
+ self,
+ image: Union[str, bytes],
+ model: str = None,
+ provider: Optional[ProviderType] = None,
+ response_format: str = "url",
+ **kwargs
+ ) -> ImagesResponse:
return asyncio.run(self.async_create_variation(
image, model, provider, response_format, **kwargs
))
- async def async_create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
+ async def async_create_variation(
+ self,
+ image: ImageType,
+ model: Optional[str] = None,
+ provider: Optional[ProviderType] = None,
+ response_format: str = "url",
+ proxy: Optional[str] = None,
+ **kwargs
+ ) -> ImagesResponse:
if provider is None:
provider = self.models.get(model, provider or self.provider or BingCreateImages)
if provider is None:
- raise ValueError(f"Unknown model: {model}")
+ raise ModelNotFoundError(f"Unknown model: {model}")
if isinstance(provider, str):
provider = convert_to_provider(provider)
if proxy is None:
@@ -355,38 +354,61 @@ class Images:
if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
messages = [{"role": "user", "content": "create a variation of this image"}]
- image_data = to_data_uri(image)
generator = None
try:
- generator = provider.create_async_generator(model, messages, image=image_data, response_format=response_format, proxy=proxy, **kwargs)
- async for response in generator:
- if isinstance(response, ImageResponse):
- return self._process_image_response(response)
- except RuntimeError as e:
- if "async generator ignored GeneratorExit" in str(e):
- logging.warning("Generator ignored GeneratorExit in create_variation, handling gracefully")
- else:
- raise
+ generator = provider.create_async_generator(model, messages, image=image, response_format=response_format, proxy=proxy, **kwargs)
+ async for chunk in generator:
+ if isinstance(chunk, ImageResponse):
+ response = chunk
+ break
finally:
if generator and hasattr(generator, 'aclose'):
await safe_aclose(generator)
- logging.info("AsyncGeneratorProvider processing completed in create_variation")
elif hasattr(provider, 'create_variation'):
if asyncio.iscoroutinefunction(provider.create_variation):
response = await provider.create_variation(image, model=model, response_format=response_format, proxy=proxy, **kwargs)
else:
response = provider.create_variation(image, model=model, response_format=response_format, proxy=proxy, **kwargs)
- if isinstance(response, str):
- response = ImageResponse([response])
- return self._process_image_response(response)
else:
- raise ValueError(f"Provider {provider} does not support image variation")
+ raise NoImageResponseError(f"Provider {provider} does not support image variation")
+
+ if isinstance(response, str):
+ response = ImageResponse([response])
+ if isinstance(response, ImageResponse):
+ return self._process_image_response(response, response_format, proxy, model, getattr(provider, "__name__", None))
+ raise NoImageResponseError(f"Unexpected response type: {type(response)}")
+
+ async def _process_image_response(
+ self,
+ response: ImageResponse,
+ response_format: str,
+ proxy: str = None,
+ model: Optional[str] = None,
+ provider: Optional[str] = None
+ ) -> list[Image]:
+ if response_format in ("url", "b64_json"):
+ images = await copy_images(response.get_list(), response.options.get("cookies"), proxy)
+ async def process_image_item(image_file: str) -> Image:
+ if response_format == "b64_json":
+ with open(os.path.join(images_dir, os.path.basename(image_file)), "rb") as file:
+ image_data = base64.b64encode(file.read()).decode()
+ return Image(url=image_file, b64_json=image_data, revised_prompt=response.alt)
+ return Image(url=image_file, revised_prompt=response.alt)
+ images = await asyncio.gather(*[process_image_item(image) for image in images])
+ else:
+ images = [Image(url=image, revised_prompt=response.alt) for image in response.get_list()]
+ last_provider = get_last_provider(True)
+ return ImagesResponse(
+ images,
+ model=last_provider.get("model") if model is None else model,
+ provider=last_provider.get("name") if provider is None else provider
+ )
class AsyncClient(BaseClient):
def __init__(
self,
- provider: ProviderType = None,
- image_provider: ImageProvider = None,
+ provider: Optional[ProviderType] = None,
+ image_provider: Optional[ImageProvider] = None,
**kwargs
) -> None:
super().__init__(**kwargs)
@@ -396,11 +418,11 @@ class AsyncClient(BaseClient):
class AsyncChat:
completions: AsyncCompletions
- def __init__(self, client: AsyncClient, provider: ProviderType = None):
+ def __init__(self, client: AsyncClient, provider: Optional[ProviderType] = None):
self.completions = AsyncCompletions(client, provider)
class AsyncCompletions:
- def __init__(self, client: AsyncClient, provider: ProviderType = None):
+ def __init__(self, client: AsyncClient, provider: Optional[ProviderType] = None):
self.client: AsyncClient = client
self.provider: ProviderType = provider
@@ -408,18 +430,18 @@ class AsyncCompletions:
self,
messages: Messages,
model: str,
- provider: ProviderType = None,
- stream: bool = False,
- proxy: str = None,
- response_format: dict = None,
- max_tokens: int = None,
- stop: Union[list[str], str] = None,
- api_key: str = None,
- ignored: list[str] = None,
- ignore_working: bool = False,
- ignore_stream: bool = False,
+ provider: Optional[ProviderType] = None,
+ stream: Optional[bool] = False,
+ proxy: Optional[str] = None,
+ response_format: Optional[dict] = None,
+ max_tokens: Optional[int] = None,
+ stop: Optional[Union[list[str], str]] = None,
+ api_key: Optional[str] = None,
+ ignored: Optional[list[str]] = None,
+ ignore_working: Optional[bool] = False,
+ ignore_stream: Optional[bool] = False,
**kwargs
- ) -> Union[Coroutine[ChatCompletion], AsyncIterator[ChatCompletionChunk]]:
+ ) -> Union[Coroutine[ChatCompletion], AsyncIterator[ChatCompletionChunk, BaseConversation]]:
model, provider = get_model_and_provider(
model,
self.provider if provider is None else provider,
@@ -450,15 +472,29 @@ class AsyncCompletions:
return response if stream else anext(response)
class AsyncImages(Images):
- def __init__(self, client: AsyncClient, provider: ImageProvider = None):
+ def __init__(self, client: AsyncClient, provider: Optional[ProviderType] = None):
self.client: AsyncClient = client
- self.provider: ImageProvider = provider
+ self.provider: Optional[ProviderType] = provider
self.models: ImageModels = ImageModels(client)
- async def generate(self, prompt: str, model: str = None, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
+ async def generate(
+ self,
+ prompt: str,
+ model: Optional[str] = None,
+ provider: Optional[ProviderType] = None,
+ response_format: str = "url",
+ **kwargs
+ ) -> ImagesResponse:
return await self.async_generate(prompt, model, provider, response_format, **kwargs)
- async def create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
+ async def create_variation(
+ self,
+ image: ImageType,
+ model: str = None,
+ provider: ProviderType = None,
+ response_format: str = "url",
+ **kwargs
+ ) -> ImagesResponse:
return await self.async_create_variation(
image, model, provider, response_format, **kwargs
- )
+ ) \ No newline at end of file
diff --git a/g4f/client/helper.py b/g4f/client/helper.py
index 71bfd38a..93588c07 100644
--- a/g4f/client/helper.py
+++ b/g4f/client/helper.py
@@ -6,7 +6,7 @@ import threading
import logging
import asyncio
-from typing import AsyncIterator, Iterator, AsyncGenerator
+from typing import AsyncIterator, Iterator, AsyncGenerator, Optional
def filter_json(text: str) -> str:
"""
@@ -23,7 +23,7 @@ def filter_json(text: str) -> str:
return match.group("code")
return text
-def find_stop(stop, content: str, chunk: str = None):
+def find_stop(stop: Optional[list[str]], content: str, chunk: str = None):
first = -1
word = None
if stop is not None:
diff --git a/g4f/client/image_models.py b/g4f/client/image_models.py
index edaa4592..0b97a56b 100644
--- a/g4f/client/image_models.py
+++ b/g4f/client/image_models.py
@@ -1,7 +1,5 @@
from __future__ import annotations
-from .types import Client, ImageProvider
-
from ..models import ModelUtils
class ImageModels():
diff --git a/g4f/client/types.py b/g4f/client/types.py
index 4f252ba9..5010e098 100644
--- a/g4f/client/types.py
+++ b/g4f/client/types.py
@@ -3,7 +3,7 @@ from __future__ import annotations
import os
from .stubs import ChatCompletion, ChatCompletionChunk
-from ..providers.types import BaseProvider, ProviderType, FinishReason
+from ..providers.types import BaseProvider
from typing import Union, Iterator, AsyncIterator
ImageProvider = Union[BaseProvider, object]
diff --git a/g4f/gui/client/index.html b/g4f/gui/client/index.html
index 48214093..6c2ad8b6 100644
--- a/g4f/gui/client/index.html
+++ b/g4f/gui/client/index.html
@@ -112,6 +112,11 @@
<label for="hide-systemPrompt" class="toogle" title="For more space on phones"></label>
</div>
<div class="field">
+ <span class="label">Download generated images</span>
+ <input type="checkbox" id="download_images" checked/>
+ <label for="download_images" class="toogle" title="Download and save generated images to /generated_images"></label>
+ </div>
+ <div class="field">
<span class="label">Auto continue in ChatGPT</span>
<input id="auto_continue" type="checkbox" name="auto_continue" checked/>
<label for="auto_continue" class="toogle" title="Continue large responses in OpenaiChat"></label>
diff --git a/g4f/gui/client/static/css/style.css b/g4f/gui/client/static/css/style.css
index 76399703..c4b61d87 100644
--- a/g4f/gui/client/static/css/style.css
+++ b/g4f/gui/client/static/css/style.css
@@ -498,6 +498,7 @@ body {
gap: 12px;
cursor: pointer;
animation: show_popup 0.4s;
+ height: 28px;
}
.toolbar .regenerate {
diff --git a/g4f/gui/client/static/js/chat.v1.js b/g4f/gui/client/static/js/chat.v1.js
index a3e94ee2..0136f9c4 100644
--- a/g4f/gui/client/static/js/chat.v1.js
+++ b/g4f/gui/client/static/js/chat.v1.js
@@ -428,10 +428,14 @@ async function add_message_chunk(message, message_id) {
p.innerText = message.log;
log_storage.appendChild(p);
}
- window.scrollTo(0, 0);
- if (message_box.scrollTop >= message_box.scrollHeight - message_box.clientHeight - 100) {
- message_box.scrollTo({ top: message_box.scrollHeight, behavior: "auto" });
+ let scroll_down = ()=>{
+ if (message_box.scrollTop >= message_box.scrollHeight - message_box.clientHeight - 100) {
+ window.scrollTo(0, 0);
+ message_box.scrollTo({ top: message_box.scrollHeight, behavior: "auto" });
+ }
}
+ setTimeout(scroll_down, 200);
+ setTimeout(scroll_down, 1000);
}
cameraInput?.addEventListener("click", (e) => {
@@ -492,6 +496,7 @@ const ask_gpt = async (message_index = -1, message_id) => {
const file = input && input.files.length > 0 ? input.files[0] : null;
const provider = providerSelect.options[providerSelect.selectedIndex].value;
const auto_continue = document.getElementById("auto_continue")?.checked;
+ const download_images = document.getElementById("download_images")?.checked;
let api_key = get_api_key_by_provider(provider);
await api("conversation", {
id: message_id,
@@ -501,13 +506,13 @@ const ask_gpt = async (message_index = -1, message_id) => {
provider: provider,
messages: messages,
auto_continue: auto_continue,
+ download_images: download_images,
api_key: api_key,
}, file, message_id);
if (!error_storage[message_id]) {
html = markdown_render(message_storage[message_id]);
content_map.inner.innerHTML = html;
highlight(content_map.inner);
-
if (imageInput) imageInput.value = "";
if (cameraInput) cameraInput.value = "";
if (fileInput) fileInput.value = "";
@@ -1239,8 +1244,7 @@ async function load_version() {
if (versions["version"] != versions["latest_version"]) {
let release_url = 'https://github.com/xtekky/gpt4free/releases/tag/' + versions["latest_version"];
let title = `New version: ${versions["latest_version"]}`;
- text += `<a href="${release_url}" target="_blank" title="${title}">${versions["version"]}</a> `;
- text += `<i class="fa-solid fa-rotate"></i>`
+ text += `<a href="${release_url}" target="_blank" title="${title}">${versions["version"]}</a> 🆕`;
} else {
text += versions["version"];
}
diff --git a/g4f/gui/server/api.py b/g4f/gui/server/api.py
index 29fc34e2..00eb7182 100644
--- a/g4f/gui/server/api.py
+++ b/g4f/gui/server/api.py
@@ -2,34 +2,22 @@ from __future__ import annotations
import logging
import os
-import uuid
import asyncio
-import time
-from aiohttp import ClientSession
-from typing import Iterator, Optional
+from typing import Iterator
from flask import send_from_directory
+from inspect import signature
from g4f import version, models
from g4f import get_last_provider, ChatCompletion
from g4f.errors import VersionNotFoundError
-from g4f.typing import Cookies
-from g4f.image import ImagePreview, ImageResponse, is_accepted_format, extract_data_uri
-from g4f.requests.aiohttp import get_connector
+from g4f.image import ImagePreview, ImageResponse, copy_images, ensure_images_dir, images_dir
from g4f.Provider import ProviderType, __providers__, __map__
-from g4f.providers.base_provider import ProviderModelMixin, FinishReason
-from g4f.providers.conversation import BaseConversation
+from g4f.providers.base_provider import ProviderModelMixin
+from g4f.providers.response import BaseConversation, FinishReason
+from g4f.client.service import convert_to_provider
from g4f import debug
logger = logging.getLogger(__name__)
-
-# Define the directory for generated images
-images_dir = "./generated_images"
-
-# Function to ensure the images directory exists
-def ensure_images_dir():
- if not os.path.exists(images_dir):
- os.makedirs(images_dir)
-
conversations: dict[dict[str, BaseConversation]] = {}
class Api:
@@ -42,7 +30,10 @@ class Api:
if provider in __map__:
provider: ProviderType = __map__[provider]
if issubclass(provider, ProviderModelMixin):
- models = provider.get_models() if api_key is None else provider.get_models(api_key=api_key)
+ if api_key is not None and "api_key" in signature(provider.get_models).parameters:
+ models = provider.get_models(api_key=api_key)
+ else:
+ models = provider.get_models()
return [
{
"model": model,
@@ -90,7 +81,7 @@ class Api:
def get_providers() -> list[str]:
return {
provider.__name__: (provider.label if hasattr(provider, "label") else provider.__name__)
- + (" (Image Generation)" if hasattr(provider, "image_models") else "")
+ + (" (Image Generation)" if getattr(provider, "image_models", None) else "")
+ (" (Image Upload)" if getattr(provider, "default_vision_model", None) else "")
+ (" (WebDriver)" if "webdriver" in provider.get_parameters() else "")
+ (" (Auth)" if provider.needs_auth else "")
@@ -120,16 +111,23 @@ class Api:
api_key = json_data.get("api_key")
if api_key is not None:
kwargs["api_key"] = api_key
- if json_data.get('web_search'):
- if provider:
- kwargs['web_search'] = True
- else:
- from .internet import get_search_message
- messages[-1]["content"] = get_search_message(messages[-1]["content"])
+ do_web_search = json_data.get('web_search')
+ if do_web_search and provider:
+ provider_handler = convert_to_provider(provider)
+ if hasattr(provider_handler, "get_parameters"):
+ if "web_search" in provider_handler.get_parameters():
+ kwargs['web_search'] = True
+ do_web_search = False
+ if do_web_search:
+ from .internet import get_search_message
+ messages[-1]["content"] = get_search_message(messages[-1]["content"])
+ if json_data.get("auto_continue"):
+ kwargs['auto_continue'] = True
conversation_id = json_data.get("conversation_id")
- if conversation_id and provider in conversations and conversation_id in conversations[provider]:
- kwargs["conversation"] = conversations[provider][conversation_id]
+ if conversation_id and provider:
+ if provider in conversations and conversation_id in conversations[provider]:
+ kwargs["conversation"] = conversations[provider][conversation_id]
return {
"model": model,
@@ -141,7 +139,7 @@ class Api:
**kwargs
}
- def _create_response_stream(self, kwargs: dict, conversation_id: str, provider: str) -> Iterator:
+ def _create_response_stream(self, kwargs: dict, conversation_id: str, provider: str, download_images: bool = True) -> Iterator:
if debug.logging:
debug.logs = []
print_callback = debug.log_handler
@@ -163,18 +161,22 @@ class Api:
first = False
yield self._format_json("provider", get_last_provider(True))
if isinstance(chunk, BaseConversation):
- if provider not in conversations:
- conversations[provider] = {}
- conversations[provider][conversation_id] = chunk
- yield self._format_json("conversation", conversation_id)
+ if provider:
+ if provider not in conversations:
+ conversations[provider] = {}
+ conversations[provider][conversation_id] = chunk
+ yield self._format_json("conversation", conversation_id)
elif isinstance(chunk, Exception):
logger.exception(chunk)
yield self._format_json("message", get_error_message(chunk))
elif isinstance(chunk, ImagePreview):
yield self._format_json("preview", chunk.to_string())
elif isinstance(chunk, ImageResponse):
- images = asyncio.run(self._copy_images(chunk.get_list(), chunk.options.get("cookies")))
- yield self._format_json("content", str(ImageResponse(images, chunk.alt)))
+ images = chunk
+ if download_images:
+ images = asyncio.run(copy_images(chunk.get_list(), chunk.options.get("cookies")))
+ images = ImageResponse(images, chunk.alt)
+ yield self._format_json("content", str(images))
elif not isinstance(chunk, FinishReason):
yield self._format_json("content", str(chunk))
if debug.logs:
@@ -185,31 +187,6 @@ class Api:
logger.exception(e)
yield self._format_json('error', get_error_message(e))
- async def _copy_images(self, images: list[str], cookies: Optional[Cookies] = None):
- ensure_images_dir()
- async with ClientSession(
- connector=get_connector(None, os.environ.get("G4F_PROXY")),
- cookies=cookies
- ) as session:
- async def copy_image(image: str) -> str:
- target = os.path.join(images_dir, f"{int(time.time())}_{str(uuid.uuid4())}")
- if image.startswith("data:"):
- with open(target, "wb") as f:
- f.write(extract_data_uri(image))
- else:
- async with session.get(image) as response:
- with open(target, "wb") as f:
- async for chunk in response.content.iter_any():
- f.write(chunk)
- with open(target, "rb") as f:
- extension = is_accepted_format(f.read(12)).split("/")[-1]
- extension = "jpg" if extension == "jpeg" else extension
- new_target = f"{target}.{extension}"
- os.rename(target, new_target)
- return f"/images/{os.path.basename(new_target)}"
-
- return await asyncio.gather(*[copy_image(image) for image in images])
-
def _format_json(self, response_type: str, content):
return {
'type': response_type,
@@ -221,4 +198,4 @@ def get_error_message(exception: Exception) -> str:
provider = get_last_provider()
if provider is None:
return message
- return f"{provider.__name__}: {message}"
+ return f"{provider.__name__}: {message}" \ No newline at end of file
diff --git a/g4f/gui/server/backend.py b/g4f/gui/server/backend.py
index 020e49ef..917d779e 100644
--- a/g4f/gui/server/backend.py
+++ b/g4f/gui/server/backend.py
@@ -89,7 +89,12 @@ class Backend_Api(Api):
kwargs = self._prepare_conversation_kwargs(json_data, kwargs)
return self.app.response_class(
- self._create_response_stream(kwargs, json_data.get("conversation_id"), json_data.get("provider")),
+ self._create_response_stream(
+ kwargs,
+ json_data.get("conversation_id"),
+ json_data.get("provider"),
+ json_data.get("download_images", True),
+ ),
mimetype='text/event-stream'
)
diff --git a/g4f/gui/server/internet.py b/g4f/gui/server/internet.py
index b41b5eae..bafa3af7 100644
--- a/g4f/gui/server/internet.py
+++ b/g4f/gui/server/internet.py
@@ -8,12 +8,14 @@ try:
except ImportError:
has_requirements = False
from ...errors import MissingRequirementsError
-
+from ... import debug
+
import asyncio
class SearchResults():
- def __init__(self, results: list):
+ def __init__(self, results: list, used_words: int):
self.results = results
+ self.used_words = used_words
def __iter__(self):
yield from self.results
@@ -104,7 +106,8 @@ async def search(query: str, n_results: int = 5, max_words: int = 2500, add_text
region="wt-wt",
safesearch="moderate",
timelimit="y",
- max_results=n_results
+ max_results=n_results,
+ backend="html"
):
results.append(SearchResultEntry(
result["title"],
@@ -120,6 +123,7 @@ async def search(query: str, n_results: int = 5, max_words: int = 2500, add_text
texts = await asyncio.gather(*requests)
formatted_results = []
+ used_words = 0
left_words = max_words
for i, entry in enumerate(results):
if add_text:
@@ -132,13 +136,14 @@ async def search(query: str, n_results: int = 5, max_words: int = 2500, add_text
left_words -= entry.snippet.count(" ")
if 0 > left_words:
break
+ used_words = max_words - left_words
formatted_results.append(entry)
- return SearchResults(formatted_results)
+ return SearchResults(formatted_results, used_words)
-def get_search_message(prompt) -> str:
+def get_search_message(prompt, n_results: int = 5, max_words: int = 2500) -> str:
try:
- search_results = asyncio.run(search(prompt))
+ search_results = asyncio.run(search(prompt, n_results, max_words))
message = f"""
{search_results}
@@ -149,7 +154,8 @@ Make sure to add the sources of cites using [[Number]](Url) notation after the r
User request:
{prompt}
"""
+ debug.log(f"Web search: '{prompt.strip()[:50]}...' {search_results.used_words} Words")
return message
except Exception as e:
- print("Couldn't do web search:", e)
+ debug.log(f"Couldn't do web search: {e.__class__.__name__}: {e}")
return prompt \ No newline at end of file
diff --git a/g4f/image.py b/g4f/image.py
index 8a3d7a74..114dcc13 100644
--- a/g4f/image.py
+++ b/g4f/image.py
@@ -1,9 +1,13 @@
from __future__ import annotations
+import os
import re
+import time
+import uuid
from io import BytesIO
import base64
-from .typing import ImageType, Union, Image
+import asyncio
+from aiohttp import ClientSession
try:
from PIL.Image import open as open_image, new as new_image
@@ -12,7 +16,10 @@ try:
except ImportError:
has_requirements = False
+from .typing import ImageType, Union, Image, Optional, Cookies
from .errors import MissingRequirementsError
+from .providers.response import ResponseType
+from .requests.aiohttp import get_connector
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif', 'webp', 'svg'}
@@ -23,10 +30,12 @@ EXTENSIONS_MAP: dict[str, str] = {
"image/webp": "webp",
}
+# Define the directory for generated images
+images_dir = "./generated_images"
+
def fix_url(url:str) -> str:
""" replace ' ' by '+' (to be markdown compliant)"""
return url.replace(" ","+")
-
def to_image(image: ImageType, is_svg: bool = False) -> Image:
"""
@@ -223,7 +232,6 @@ def format_images_markdown(images: Union[str, list], alt: str, preview: Union[st
preview = [preview.replace('{image}', image) if preview else image for image in images]
result = "\n".join(
f"[![#{idx+1} {alt}]({fix_url(preview[idx])})]({fix_url(image)})"
- #f'[<img src="{preview[idx]}" width="200" alt="#{idx+1} {alt}">]({image})'
for idx, image in enumerate(images)
)
start_flag = "<!-- generated images start -->\n"
@@ -260,7 +268,39 @@ def to_data_uri(image: ImageType) -> str:
return f"data:{is_accepted_format(data)};base64,{data_base64}"
return image
-class ImageResponse:
+# Function to ensure the images directory exists
+def ensure_images_dir():
+ if not os.path.exists(images_dir):
+ os.makedirs(images_dir)
+
+async def copy_images(images: list[str], cookies: Optional[Cookies] = None, proxy: Optional[str] = None):
+ ensure_images_dir()
+ async with ClientSession(
+ connector=get_connector(
+ proxy=os.environ.get("G4F_PROXY") if proxy is None else proxy
+ ),
+ cookies=cookies
+ ) as session:
+ async def copy_image(image: str) -> str:
+ target = os.path.join(images_dir, f"{int(time.time())}_{str(uuid.uuid4())}")
+ if image.startswith("data:"):
+ with open(target, "wb") as f:
+ f.write(extract_data_uri(image))
+ else:
+ async with session.get(image) as response:
+ with open(target, "wb") as f:
+ async for chunk in response.content.iter_chunked(4096):
+ f.write(chunk)
+ with open(target, "rb") as f:
+ extension = is_accepted_format(f.read(12)).split("/")[-1]
+ extension = "jpg" if extension == "jpeg" else extension
+ new_target = f"{target}.{extension}"
+ os.rename(target, new_target)
+ return f"/images/{os.path.basename(new_target)}"
+
+ return await asyncio.gather(*[copy_image(image) for image in images])
+
+class ImageResponse(ResponseType):
def __init__(
self,
images: Union[str, list],
diff --git a/g4f/providers/base_provider.py b/g4f/providers/base_provider.py
index 9fa17fc3..b6df48e8 100644
--- a/g4f/providers/base_provider.py
+++ b/g4f/providers/base_provider.py
@@ -10,7 +10,8 @@ from inspect import signature, Parameter
from typing import Callable, Union
from ..typing import CreateResult, AsyncResult, Messages
-from .types import BaseProvider, FinishReason
+from .types import BaseProvider
+from .response import FinishReason, BaseConversation
from ..errors import NestAsyncioError, ModelNotSupportedError
from .. import debug
@@ -100,7 +101,7 @@ class AbstractProvider(BaseProvider):
)
@classmethod
- def get_parameters(cls) -> dict:
+ def get_parameters(cls) -> dict[str, Parameter]:
return signature(
cls.create_async_generator if issubclass(cls, AsyncGeneratorProvider) else
cls.create_async if issubclass(cls, AsyncProvider) else
@@ -258,7 +259,7 @@ class AsyncGeneratorProvider(AsyncProvider):
"""
return "".join([
str(chunk) async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs)
- if not isinstance(chunk, (Exception, FinishReason))
+ if not isinstance(chunk, (Exception, FinishReason, BaseConversation))
])
@staticmethod
@@ -307,4 +308,4 @@ class ProviderModelMixin:
elif model not in cls.get_models() and cls.models:
raise ModelNotSupportedError(f"Model is not supported: {model} in: {cls.__name__}")
debug.last_model = model
- return model
+ return model \ No newline at end of file
diff --git a/g4f/providers/conversation.py b/g4f/providers/conversation.py
deleted file mode 100644
index 921810d3..00000000
--- a/g4f/providers/conversation.py
+++ /dev/null
@@ -1,2 +0,0 @@
-class BaseConversation:
- ... \ No newline at end of file
diff --git a/g4f/providers/response.py b/g4f/providers/response.py
new file mode 100644
index 00000000..a4d1467a
--- /dev/null
+++ b/g4f/providers/response.py
@@ -0,0 +1,26 @@
+from __future__ import annotations
+
+from abc import abstractmethod
+
+class ResponseType:
+ @abstractmethod
+ def __str__(self) -> str:
+ pass
+
+class FinishReason():
+ def __init__(self, reason: str):
+ self.reason = reason
+
+ def __str__(self) -> str:
+ return ""
+
+class Sources(ResponseType):
+ def __init__(self, sources: list[dict[str, str]]) -> None:
+ self.list = sources
+
+ def __str__(self) -> str:
+ return "\n\n" + ("\n".join([f"{idx+1}. [{link['title']}]({link['url']})" for idx, link in enumerate(self.list)]))
+
+class BaseConversation(ResponseType):
+ def __str__(self) -> str:
+ return "" \ No newline at end of file
diff --git a/g4f/providers/types.py b/g4f/providers/types.py
index e7ca32ee..d6d7cccd 100644
--- a/g4f/providers/types.py
+++ b/g4f/providers/types.py
@@ -3,7 +3,6 @@ from __future__ import annotations
from abc import ABC, abstractmethod
from typing import Union, Dict, Type
from ..typing import Messages, CreateResult
-from .conversation import BaseConversation
class BaseProvider(ABC):
"""
@@ -98,10 +97,6 @@ class BaseRetryProvider(BaseProvider):
ProviderType = Union[Type[BaseProvider], BaseRetryProvider]
-class FinishReason():
- def __init__(self, reason: str):
- self.reason = reason
-
class Streaming():
def __init__(self, data: str) -> None:
self.data = data
diff --git a/g4f/typing.py b/g4f/typing.py
index 710fde4b..1bc71141 100644
--- a/g4f/typing.py
+++ b/g4f/typing.py
@@ -10,11 +10,13 @@ if sys.version_info >= (3, 8):
from typing import TypedDict
else:
from typing_extensions import TypedDict
+
+from .providers.response import ResponseType
SHA256 = NewType('sha_256_hash', str)
-CreateResult = Iterator[str]
-AsyncResult = AsyncIterator[str]
-Messages = List[Dict[str, Union[str,List[Dict[str,Union[str,Dict[str,str]]]]]]]
+CreateResult = Iterator[Union[str, ResponseType]]
+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, None]