mirror of
https://github.com/browser-use/web-ui.git
synced 2026-03-22 11:17:17 +08:00
Update webui.py
This commit is contained in:
302
webui.py
302
webui.py
@@ -36,7 +36,6 @@ from src.agent.custom_prompts import CustomSystemPrompt
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from src.utils import utils
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async def run_browser_agent(
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agent_type,
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llm_provider,
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@@ -55,9 +54,7 @@ async def run_browser_agent(
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max_steps,
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use_vision
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):
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"""
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Runs the browser agent based on user configurations.
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"""
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llm = utils.get_llm_model(
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provider=llm_provider,
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@@ -95,7 +92,6 @@ async def run_browser_agent(
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else:
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raise ValueError(f"Invalid agent type: {agent_type}")
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async def run_org_agent(
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llm,
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headless,
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@@ -137,7 +133,6 @@ async def run_org_agent(
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await browser.close()
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return final_result, errors, model_actions, model_thoughts
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async def run_custom_agent(
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llm,
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use_own_browser,
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@@ -227,6 +222,226 @@ async def run_custom_agent(
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await browser.close()
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return final_result, errors, model_actions, model_thoughts
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import argparse
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import gradio as gr
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from gradio.themes import Base, Default, Soft, Monochrome, Glass, Origin, Citrus, Ocean
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import os
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# Define the theme map globally
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theme_map = {
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"Default": Default(),
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"Soft": Soft(),
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"Monochrome": Monochrome(),
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"Glass": Glass(),
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"Origin": Origin(),
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"Citrus": Citrus(),
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"Ocean": Ocean()
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}
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def create_ui(theme_name="Ocean"):
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"""Create the UI with the specified theme"""
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# Enhanced styling for better visual appeal
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css = """
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.gradio-container {
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max-width: 1200px !important;
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margin: auto !important;
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padding-top: 20px !important;
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}
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.header-text {
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text-align: center;
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margin-bottom: 30px;
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}
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.theme-section {
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margin-bottom: 20px;
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padding: 15px;
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border-radius: 10px;
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}
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"""
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with gr.Blocks(title="Browser Use WebUI", theme=theme_map[theme_name], css=css) as demo:
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with gr.Row():
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gr.Markdown(
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"""
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# 🌐 Browser Use WebUI
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### Control your browser with AI assistance
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""",
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elem_classes=["header-text"]
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)
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# Quick access theme switcher at the top
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with gr.Row(elem_classes=["theme-section"]):
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theme_dropdown = gr.Dropdown(
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choices=list(theme_map.keys()),
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value=theme_name,
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label="🎨 Quick Theme Switch",
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container=False
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)
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with gr.Tabs() as tabs:
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with gr.TabItem("🤖 Agent Settings", id=1):
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with gr.Group():
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agent_type = gr.Radio(
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["org", "custom"],
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label="Agent Type",
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value="custom",
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info="Select the type of agent to use"
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)
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max_steps = gr.Slider(
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minimum=1,
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maximum=200,
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value=100,
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step=1,
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label="Max Run Steps",
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info="Maximum number of steps the agent will take"
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)
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use_vision = gr.Checkbox(
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label="Use Vision",
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value=True,
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info="Enable visual processing capabilities"
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)
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with gr.TabItem("🔧 LLM Configuration", id=2):
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with gr.Group():
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llm_provider = gr.Dropdown(
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["anthropic", "openai", "gemini", "azure_openai", "deepseek"],
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label="LLM Provider",
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value="gemini",
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info="Select your preferred language model provider"
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)
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llm_model_name = gr.Textbox(
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label="Model Name",
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value="gemini-2.0-flash-exp",
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info="Specify the model to use"
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)
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llm_temperature = gr.Slider(
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minimum=0.0,
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maximum=2.0,
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value=1.0,
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step=0.1,
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label="Temperature",
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info="Controls randomness in model outputs"
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)
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with gr.Row():
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llm_base_url = gr.Textbox(
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label="Base URL",
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info="API endpoint URL (if required)"
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)
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llm_api_key = gr.Textbox(
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label="API Key",
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type="password",
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info="Your API key"
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)
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with gr.TabItem("🌐 Browser Settings", id=3):
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with gr.Group():
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with gr.Row():
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use_own_browser = gr.Checkbox(
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label="Use Own Browser",
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value=False,
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info="Use your existing browser instance"
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)
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headless = gr.Checkbox(
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label="Headless Mode",
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value=False,
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info="Run browser without GUI"
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)
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disable_security = gr.Checkbox(
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label="Disable Security",
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value=True,
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info="Disable browser security features"
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)
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with gr.Row():
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window_w = gr.Number(
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label="Window Width",
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value=1920,
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info="Browser window width"
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)
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window_h = gr.Number(
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label="Window Height",
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value=1080,
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info="Browser window height"
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)
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save_recording_path = gr.Textbox(
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label="Recording Path",
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placeholder="e.g. ./tmp/record_videos",
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value="./tmp/record_videos",
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info="Path to save browser recordings"
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)
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with gr.TabItem("📝 Task Settings", id=4):
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task = gr.Textbox(
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label="Task Description",
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lines=4,
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placeholder="Enter your task here...",
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value="go to google.com and type 'OpenAI' click search and give me the first url",
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info="Describe what you want the agent to do"
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)
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add_infos = gr.Textbox(
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label="Additional Information",
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lines=3,
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placeholder="Add any helpful context or instructions...",
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info="Optional hints to help the LLM complete the task"
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)
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with gr.Row():
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run_button = gr.Button("▶️ Run Agent", variant="primary", scale=2)
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stop_button = gr.Button("⏹️ Stop", variant="stop", scale=1)
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with gr.Group():
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gr.Markdown("### Results")
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with gr.Row():
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with gr.Column():
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final_result_output = gr.Textbox(
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label="Final Result",
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lines=3,
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show_label=True
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)
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with gr.Column():
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errors_output = gr.Textbox(
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label="Errors",
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lines=3,
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show_label=True
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)
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with gr.Row():
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with gr.Column():
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model_actions_output = gr.Textbox(
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label="Model Actions",
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lines=3,
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show_label=True
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)
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with gr.Column():
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model_thoughts_output = gr.Textbox(
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label="Model Thoughts",
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lines=3,
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show_label=True
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)
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# Handle theme changes
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def reload_ui(new_theme):
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"""Reload the UI with the new theme"""
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return create_ui(new_theme)
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theme_dropdown.change(
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fn=reload_ui,
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inputs=[theme_dropdown],
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outputs=[demo]
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)
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# Run button click handler
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run_button.click(
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fn=run_browser_agent,
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inputs=[
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agent_type, llm_provider, llm_model_name, llm_temperature,
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llm_base_url, llm_api_key, use_own_browser, headless,
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disable_security, window_w, window_h, save_recording_path,
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task, add_infos, max_steps, use_vision
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],
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outputs=[final_result_output, errors_output, model_actions_output, model_thoughts_output]
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)
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return demo
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def main():
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parser = argparse.ArgumentParser(description="Gradio UI for Browser Agent")
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@@ -234,81 +449,8 @@ def main():
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parser.add_argument("--port", type=int, default=7788, help="Port to listen on")
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args = parser.parse_args()
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js_func = """
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function refresh() {
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const url = new URL(window.location);
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if (url.searchParams.get('__theme') !== 'dark') {
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url.searchParams.set('__theme', 'dark');
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window.location.href = url.href;
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}
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}
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"""
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# Gradio UI setup
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with gr.Blocks(title="Browser Use WebUI", theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Plus Jakarta Sans")]),
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js=js_func) as demo:
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gr.Markdown("<center><h1>Browser Use WebUI</h1></center>")
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with gr.Row():
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agent_type = gr.Radio(["org", "custom"], label="Agent Type", value="custom")
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max_steps = gr.Number(label="max run steps", value=100)
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use_vision = gr.Checkbox(label="use vision", value=True)
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with gr.Row():
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llm_provider = gr.Dropdown(
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["anthropic", "openai", "gemini", "azure_openai", "deepseek"], label="LLM Provider", value="gemini"
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)
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llm_model_name = gr.Textbox(label="LLM Model Name", value="gemini-2.0-flash-exp")
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llm_temperature = gr.Number(label="LLM Temperature", value=1.0)
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with gr.Row():
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llm_base_url = gr.Textbox(label="LLM Base URL")
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llm_api_key = gr.Textbox(label="LLM API Key", type="password")
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with gr.Accordion("Browser Settings", open=False):
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use_own_browser = gr.Checkbox(label="Use Own Browser", value=False)
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headless = gr.Checkbox(label="Headless", value=False)
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disable_security = gr.Checkbox(label="Disable Security", value=True)
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with gr.Row():
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window_w = gr.Number(label="Window Width", value=1920)
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window_h = gr.Number(label="Window Height", value=1080)
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save_recording_path = gr.Textbox(label="Save Recording Path", placeholder="e.g. ./tmp/record_videos",
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value="./tmp/record_videos")
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with gr.Accordion("Task Settings", open=True):
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task = gr.Textbox(label="Task", lines=10,
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value="go to google.com and type 'OpenAI' click search and give me the first url")
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add_infos = gr.Textbox(label="Additional Infos(Optional): Hints to help LLM complete Task", lines=5)
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run_button = gr.Button("Run Agent", variant="primary")
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with gr.Column():
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final_result_output = gr.Textbox(label="Final Result", lines=5)
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errors_output = gr.Textbox(label="Errors", lines=5, )
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model_actions_output = gr.Textbox(label="Model Actions", lines=5)
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model_thoughts_output = gr.Textbox(label="Model Thoughts", lines=5)
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run_button.click(
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fn=run_browser_agent,
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inputs=[
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agent_type,
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llm_provider,
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llm_model_name,
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llm_temperature,
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llm_base_url,
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llm_api_key,
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use_own_browser,
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headless,
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disable_security,
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window_w,
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window_h,
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save_recording_path,
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task,
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add_infos,
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max_steps,
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use_vision
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],
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outputs=[final_result_output, errors_output, model_actions_output, model_thoughts_output],
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)
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demo = create_ui()
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demo.launch(server_name=args.ip, server_port=args.port)
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if __name__ == '__main__':
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main()
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