add gemini supported

This commit is contained in:
warmshao
2025-01-02 09:30:46 +08:00
commit 08fd44b6ef
11 changed files with 446 additions and 0 deletions

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.env.example Normal file
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OPENAI_API_KEY=
ANTHROPIC_API_KEY=
GOOGLE_API_KEY=
AZURE_OPENAI_ENDPOINT=
AZURE_OPENAI_KEY=
# Set to false to disable anonymized telemetry
ANONYMIZED_TELEMETRY=true
# LogLevel: Set to debug to enable verbose logging, set to result to get results only. Available: result | debug | info
BROWSER_USE_LOGGING_LEVEL=info

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.gitignore vendored Normal file
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
test_env/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/
temp
tmp
.DS_Store
private_example.py
private_example
browser_cookies.json
cookies.json
AgentHistory.json
cv_04_24.pdf
AgentHistoryList.json
*.gif

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src/__init__.py Normal file
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# -*- coding: utf-8 -*-
# @Time : 2025/1/1
# @Author : wenshao
# @Email : wenshaoguo1026@gmail.com
# @Project : browser-use-webui
# @FileName: __init__.py.py

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src/agent/__init__.py Normal file
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# -*- coding: utf-8 -*-
# @Time : 2025/1/1
# @Author : wenshao
# @Email : wenshaoguo1026@gmail.com
# @Project : browser-use-webui
# @FileName: __init__.py.py

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src/browser/__init__.py Normal file
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# -*- coding: utf-8 -*-
# @Time : 2025/1/1
# @Author : wenshao
# @Email : wenshaoguo1026@gmail.com
# @Project : browser-use-webui
# @FileName: __init__.py.py

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src/browser/context.py Normal file
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# -*- coding: utf-8 -*-
# @Time : 2025/1/1
# @Author : wenshao
# @Email : wenshaoguo1026@gmail.com
# @Project : browser-use-webui
# @FileName: context.py
import asyncio
import base64
import json
import logging
import os
from playwright.async_api import Browser as PlaywrightBrowser
from browser_use.browser.context import BrowserContext, BrowserContextConfig
from browser_use.browser.browser import Browser
logger = logging.getLogger(__name__)
class CustomBrowserContext(BrowserContext):
"""
定制BrowserContext
"""
def __init__(self,
browser: 'Browser',
config: BrowserContextConfig = BrowserContextConfig(),
):
super(CustomBrowserContext, self).__init__(browser, config)
async def _create_context(self, browser: PlaywrightBrowser):
"""Creates a new browser context with anti-detection measures and loads cookies if available."""
if self.browser.config.chrome_instance_path and len(browser.contexts) > 0:
# Connect to existing Chrome instance instead of creating new one
context = browser.contexts[0]
else:
# Original code for creating new context
context = await browser.new_context(
viewport=self.config.browser_window_size,
no_viewport=False,
user_agent=(
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 '
'(KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36'
),
java_script_enabled=True,
bypass_csp=self.config.disable_security,
ignore_https_errors=self.config.disable_security,
record_video_dir=self.config.save_recording_path,
record_video_size=self.config.browser_window_size # set record video size
)
if self.config.trace_path:
await context.tracing.start(screenshots=True, snapshots=True, sources=True)
# Load cookies if they exist
if self.config.cookies_file and os.path.exists(self.config.cookies_file):
with open(self.config.cookies_file, 'r') as f:
cookies = json.load(f)
logger.info(f'Loaded {len(cookies)} cookies from {self.config.cookies_file}')
await context.add_cookies(cookies)
# Expose anti-detection scripts
await context.add_init_script(
"""
// Webdriver property
Object.defineProperty(navigator, 'webdriver', {
get: () => undefined
});
// Languages
Object.defineProperty(navigator, 'languages', {
get: () => ['en-US', 'en']
});
// Plugins
Object.defineProperty(navigator, 'plugins', {
get: () => [1, 2, 3, 4, 5]
});
// Chrome runtime
window.chrome = { runtime: {} };
// Permissions
const originalQuery = window.navigator.permissions.query;
window.navigator.permissions.query = (parameters) => (
parameters.name === 'notifications' ?
Promise.resolve({ state: Notification.permission }) :
originalQuery(parameters)
);
"""
)
return context

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src/utils/__init__.py Normal file
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# -*- coding: utf-8 -*-
# @Time : 2025/1/1
# @Author : wenshao
# @Email : wenshaoguo1026@gmail.com
# @Project : browser-use-webui
# @FileName: __init__.py.py

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src/utils/utils.py Normal file
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# -*- coding: utf-8 -*-
# @Time : 2025/1/1
# @Author : wenshao
# @Email : wenshaoguo1026@gmail.com
# @Project : browser-use-webui
# @FileName: utils.py
import base64
from langchain_openai import ChatOpenAI, AzureChatOpenAI
from langchain_anthropic import ChatAnthropic
from langchain_google_genai import ChatGoogleGenerativeAI
def get_llm_model(provider: str, **kwargs):
"""
获取LLM 模型
:param provider: 模型类型
:param kwargs:
:return:
"""
if provider == 'claude':
return ChatAnthropic(
model_name=kwargs.get("model_name", 'claude-3-5-sonnet-20240620'),
temperature=kwargs.get("temperature", 0.0),
base_url=kwargs.get("base_url", "https://api.anthropic.com"),
api_key=kwargs.get("api_key", None)
)
elif provider == 'openai':
return ChatOpenAI(
model=kwargs.get("model_name", 'gpt-4o'),
temperature=kwargs.get("temperature", 0.0),
base_url=kwargs.get("base_url", "https://api.openai.com/v1/"),
api_key=kwargs.get("api_key", None)
)
elif provider == 'gemini':
return ChatGoogleGenerativeAI(
model=kwargs.get("model_name", 'gemini-2.0-flash-exp'),
temperature=kwargs.get("temperature", 0.0),
google_api_key=kwargs.get("api_key", None),
)
elif provider == "azure_openai":
return AzureChatOpenAI(
model=kwargs.get("model_name", 'gpt-4o'),
temperature=kwargs.get("temperature", 0.0),
api_version="2024-05-01-preview",
azure_endpoint=kwargs.get("base_url", ""),
api_key=kwargs.get("api_key", None)
)
else:
raise ValueError(f'Unsupported provider: {provider}')
def encode_image(img_path):
if not img_path:
return None
with open(img_path, "rb") as fin:
image_data = base64.b64encode(fin.read()).decode("utf-8")
return image_data

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tests/test_llm_api.py Normal file
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# -*- coding: utf-8 -*-
# @Time : 2025/1/1
# @Author : wenshao
# @Email : wenshaoguo1026@gmail.com
# @Project : browser-use-webui
# @FileName: test_llm_api.py
import os
import pdb
from dotenv import load_dotenv
load_dotenv()
import sys
sys.path.append(".")
def test_gemini_model():
# you need to enable your api key first: https://ai.google.dev/palm_docs/oauth_quickstart
from langchain_core.messages import HumanMessage
from src.utils import utils
llm = utils.get_llm_model(
provider="gemini",
model_name="gemini-2.0-flash-exp",
temperature=0.8,
api_key=os.getenv("GOOGLE_API_KEY", "")
)
image_path = "assets/examples/test.png"
image_data = utils.encode_image(image_path)
message = HumanMessage(
content=[
{"type": "text", "text": "describe this image"},
{
"type": "image_url",
"image_url": {"url": f"data:image/jpeg;base64,{image_data}"},
},
]
)
ai_msg = llm.invoke([message])
print(ai_msg.content)
def test_azure_openai_model():
from langchain_core.messages import HumanMessage
from src.utils import utils
llm = utils.get_llm_model(
provider="azure_openai",
model_name="gpt-4o",
temperature=0.8,
base_url=os.getenv("AZURE_OPENAI_ENDPOINT", ""),
api_key=os.getenv("AZURE_OPENAI_KEY", "")
)
image_path = "assets/examples/test.png"
image_data = utils.encode_image(image_path)
message = HumanMessage(
content=[
{"type": "text", "text": "describe this image"},
{
"type": "image_url",
"image_url": {"url": f"data:image/jpeg;base64,{image_data}"},
},
]
)
ai_msg = llm.invoke([message])
print(ai_msg.content)
if __name__ == '__main__':
test_gemini_model()
# test_azure_openai_model()

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webui.py Normal file
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# -*- coding: utf-8 -*-
# @Time : 2025/1/1
# @Author : wenshao
# @Email : wenshaoguo1026@gmail.com
# @Project : browser-use-webui
# @FileName: webui.py