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Update app.py
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app.py
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#!/usr/bin/env python3
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import gradio as gr
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import os
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from typing import Dict, List, Any, Optional
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import json
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from
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import traceback
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# CrewAI and Julia Browser imports
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from crewai import Agent, Task, Crew, Process
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from crewai_tools import BaseTool
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from crewai.llm import LLM
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from julia_browser import AgentSDK
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# Initialize browser
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browser = AgentSDK()
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class
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description: str = "Open a website and get page content. Input: url (string)"
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def _run(self, url: str) -> str:
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result = browser.open_website(url)
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return f"Opened: {result['title']} at {url}"
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class ListElementsTool(BaseTool):
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name: str = "list_elements"
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description: str = "List all clickable elements and input fields on current page"
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def _run(self) -> str:
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elements = browser.list_elements()
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output = []
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for elem in elements.get("elements", []):
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output.append(f"[{elem['id']}] {elem['type']}: {elem.get('text', 'N/A')}")
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return f"Found {elements['total_clickable']} clickable, {elements['total_inputs']} inputs:\n" + "\n".join(output)
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class ClickElementTool(BaseTool):
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name: str = "click_element"
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description: str = "Click a button or link by its number ID. Input: element_id (int)"
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#
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class WebAutomationAgent:
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def __init__(self):
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model="groq/qwen2.5-32b-instruct",
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api_key=os.getenv("GROQ_API_KEY")
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)
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# Create web automation agent
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self.agent = Agent(
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role="Web Automation Expert",
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goal="Execute web tasks using browser tools based on user instructions",
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backstory="""You are a skilled web automation expert who can navigate websites,
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interact with elements, fill forms, and extract information. You break down
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complex tasks into simple browser actions and execute them step by step.""",
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tools=browser_tools,
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llm=self.llm,
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verbose=True,
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allow_delegation=False
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)
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def execute_task(self,
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"""Execute
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task = Task(
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description=f"""
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Task: {instruction}
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Use the available browser tools to complete this task:
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- open_website(url) - Open websites
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- list_elements() - See what's clickable on page
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- click_element(id) - Click buttons/links
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- type_text(field_id, text) - Fill input fields
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- submit_form() - Submit forms
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- get_page_info() - Get page details
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- scroll_down(chunks) - Scroll to see more
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- search_page(term) - Find text on page
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- follow_link(id) - Navigate to links
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Work step by step and explain what you're doing.
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""",
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agent=self.agent,
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expected_output="Complete step-by-step execution report with results"
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)
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try:
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except Exception as e:
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return f"Error
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# Initialize agent
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def execute_user_task(message: str, history: List[List[str]]) -> tuple:
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"""Process user message and execute task"""
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try:
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# Execute task
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result =
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# Update with result
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history[-1][1] = result
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except Exception as e:
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history[-1][1] = f"β Error
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return history, ""
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# Sample tasks
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sample_tasks = [
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"Open google.com and search for 'web automation'",
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"Go to example.com and list all elements",
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"Navigate to
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"Open a
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"Visit
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]
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def load_sample(task_text):
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return task_text
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# Create Gradio Interface
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with gr.Blocks(title="AI Web Agent", theme=gr.themes.Soft()) as demo:
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gr.HTML("""
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<div style="text-align: center; margin: 20px;">
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<h1>π€ AI Web Automation Agent</h1>
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<p><strong>Julia Browser +
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<p>
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</div>
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""")
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# Main chat interface
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chatbot = gr.Chatbot(
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label="Agent Execution",
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height=600,
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)
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# Centered input section
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with gr.Row(
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with gr.Column(scale=1):
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pass # Left spacer
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with gr.Column(scale=3):
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user_input = gr.Textbox(
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placeholder="Tell me what to do on the web...",
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container=False,
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scale=4
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elem_id="main-input"
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)
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send_btn = gr.Button("π Execute", variant="primary", scale=1)
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for i, task in enumerate(sample_tasks):
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sample_btn = gr.Button(
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f"Sample {i+1}: {task[:
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variant="outline",
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size="sm"
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)
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with gr.Column():
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gr.HTML("""
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<div style="padding: 15px; background: #f8f9fa; border-radius: 8px;">
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<h4>π‘
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<ul style="font-size: 12px;">
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<li>
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<li>
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<li>
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<li>
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</ul>
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</div>
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""")
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print("β οΈ Warning: GROQ_API_KEY not found in environment variables")
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print("Set it with: export GROQ_API_KEY='your_api_key_here'")
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print("π Starting AI Web Automation Agent...")
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print("π Available browser
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for
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print(f" - {
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# For Hugging Face Spaces
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port = int(os.getenv("PORT", 7860))
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demo.launch(
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#!/usr/bin/env python3
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"""
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AI Web Agent using Julia Browser with Direct Groq Integration
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No CrewAI - Pure implementation with function calling
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"""
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import gradio as gr
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import os
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import json
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from typing import Dict, List, Any, Optional
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import traceback
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from groq import Groq
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from julia_browser import AgentSDK
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# Initialize browser and Groq client
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browser = AgentSDK()
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groq_client = Groq(api_key=os.getenv("GROQ_API_KEY"))
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class BrowserActions:
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"""Direct browser action implementations"""
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@staticmethod
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def open_website(url: str) -> Dict[str, Any]:
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"""Open a website"""
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try:
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result = browser.open_website(url)
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return {"success": True, "message": f"Opened: {result['title']} at {url}", "data": result}
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except Exception as e:
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return {"success": False, "message": f"Error opening {url}: {str(e)}"}
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@staticmethod
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def list_elements() -> Dict[str, Any]:
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"""List all interactive elements"""
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try:
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elements = browser.list_elements()
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element_list = []
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for elem in elements.get("elements", []):
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element_list.append(f"[{elem['id']}] {elem['type']}: {elem.get('text', 'N/A')}")
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message = f"Found {elements['total_clickable']} clickable, {elements['total_inputs']} inputs:\n" + "\n".join(element_list)
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return {"success": True, "message": message, "data": elements}
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except Exception as e:
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return {"success": False, "message": f"Error listing elements: {str(e)}"}
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@staticmethod
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def click_element(element_id: int) -> Dict[str, Any]:
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"""Click an element by ID"""
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try:
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result = browser.click_element(element_id)
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return {"success": True, "message": f"Clicked: {result.get('element', 'Unknown')} - {result['status']}", "data": result}
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except Exception as e:
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return {"success": False, "message": f"Error clicking element {element_id}: {str(e)}"}
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@staticmethod
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def type_text(field_id: int, text: str) -> Dict[str, Any]:
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"""Type text into input field"""
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try:
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result = browser.type_text(field_id, text)
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return {"success": True, "message": f"Typed '{text}' into field {field_id} - {result['status']}", "data": result}
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except Exception as e:
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return {"success": False, "message": f"Error typing into field {field_id}: {str(e)}"}
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@staticmethod
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def submit_form() -> Dict[str, Any]:
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"""Submit current form"""
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try:
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result = browser.submit_form()
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return {"success": True, "message": f"Form submitted - New page: {result.get('title', 'Unknown')}", "data": result}
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except Exception as e:
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return {"success": False, "message": f"Error submitting form: {str(e)}"}
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@staticmethod
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def get_page_info() -> Dict[str, Any]:
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"""Get current page information"""
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try:
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info = browser.get_page_info()
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message = f"Title: {info['title']}\nURL: {info['url']}\nContent preview: {info['content'][:200]}..."
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return {"success": True, "message": message, "data": info}
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except Exception as e:
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return {"success": False, "message": f"Error getting page info: {str(e)}"}
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@staticmethod
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def scroll_down(chunks: int = 1) -> Dict[str, Any]:
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"""Scroll down the page"""
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try:
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result = browser.scroll_down(chunks)
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return {"success": True, "message": f"Scrolled down {chunks} chunks - Position: {result['position']}", "data": result}
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except Exception as e:
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return {"success": False, "message": f"Error scrolling down: {str(e)}"}
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| 90 |
+
@staticmethod
|
| 91 |
+
def search_page(term: str) -> Dict[str, Any]:
|
| 92 |
+
"""Search for text on current page"""
|
| 93 |
+
try:
|
| 94 |
+
result = browser.search_page(term)
|
| 95 |
+
return {"success": True, "message": f"Found {result.get('matches', 0)} matches for '{term}'", "data": result}
|
| 96 |
+
except Exception as e:
|
| 97 |
+
return {"success": False, "message": f"Error searching page: {str(e)}"}
|
| 98 |
|
| 99 |
+
# Available functions for the AI
|
| 100 |
+
AVAILABLE_FUNCTIONS = {
|
| 101 |
+
"open_website": {
|
| 102 |
+
"function": BrowserActions.open_website,
|
| 103 |
+
"description": "Open a website",
|
| 104 |
+
"parameters": {
|
| 105 |
+
"type": "object",
|
| 106 |
+
"properties": {
|
| 107 |
+
"url": {"type": "string", "description": "The URL to open"}
|
| 108 |
+
},
|
| 109 |
+
"required": ["url"]
|
| 110 |
+
}
|
| 111 |
+
},
|
| 112 |
+
"list_elements": {
|
| 113 |
+
"function": BrowserActions.list_elements,
|
| 114 |
+
"description": "List all clickable elements and input fields on current page",
|
| 115 |
+
"parameters": {"type": "object", "properties": {}}
|
| 116 |
+
},
|
| 117 |
+
"click_element": {
|
| 118 |
+
"function": BrowserActions.click_element,
|
| 119 |
+
"description": "Click an element by its ID number",
|
| 120 |
+
"parameters": {
|
| 121 |
+
"type": "object",
|
| 122 |
+
"properties": {
|
| 123 |
+
"element_id": {"type": "integer", "description": "The ID number of the element to click"}
|
| 124 |
+
},
|
| 125 |
+
"required": ["element_id"]
|
| 126 |
+
}
|
| 127 |
+
},
|
| 128 |
+
"type_text": {
|
| 129 |
+
"function": BrowserActions.type_text,
|
| 130 |
+
"description": "Type text into an input field",
|
| 131 |
+
"parameters": {
|
| 132 |
+
"type": "object",
|
| 133 |
+
"properties": {
|
| 134 |
+
"field_id": {"type": "integer", "description": "The ID of the input field"},
|
| 135 |
+
"text": {"type": "string", "description": "The text to type"}
|
| 136 |
+
},
|
| 137 |
+
"required": ["field_id", "text"]
|
| 138 |
+
}
|
| 139 |
+
},
|
| 140 |
+
"submit_form": {
|
| 141 |
+
"function": BrowserActions.submit_form,
|
| 142 |
+
"description": "Submit the current form",
|
| 143 |
+
"parameters": {"type": "object", "properties": {}}
|
| 144 |
+
},
|
| 145 |
+
"get_page_info": {
|
| 146 |
+
"function": BrowserActions.get_page_info,
|
| 147 |
+
"description": "Get current page title, URL and content",
|
| 148 |
+
"parameters": {"type": "object", "properties": {}}
|
| 149 |
+
},
|
| 150 |
+
"scroll_down": {
|
| 151 |
+
"function": BrowserActions.scroll_down,
|
| 152 |
+
"description": "Scroll down the page",
|
| 153 |
+
"parameters": {
|
| 154 |
+
"type": "object",
|
| 155 |
+
"properties": {
|
| 156 |
+
"chunks": {"type": "integer", "description": "Number of chunks to scroll", "default": 1}
|
| 157 |
+
}
|
| 158 |
+
}
|
| 159 |
+
},
|
| 160 |
+
"search_page": {
|
| 161 |
+
"function": BrowserActions.search_page,
|
| 162 |
+
"description": "Search for text within the current page",
|
| 163 |
+
"parameters": {
|
| 164 |
+
"type": "object",
|
| 165 |
+
"properties": {
|
| 166 |
+
"term": {"type": "string", "description": "Text to search for"}
|
| 167 |
+
},
|
| 168 |
+
"required": ["term"]
|
| 169 |
+
}
|
| 170 |
+
}
|
| 171 |
+
}
|
| 172 |
|
| 173 |
class WebAutomationAgent:
|
| 174 |
+
"""AI Web Automation Agent with direct Groq integration"""
|
| 175 |
+
|
| 176 |
def __init__(self):
|
| 177 |
+
if not os.getenv("GROQ_API_KEY"):
|
| 178 |
+
raise ValueError("GROQ_API_KEY environment variable is required")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 179 |
|
| 180 |
+
def execute_task(self, user_instruction: str) -> str:
|
| 181 |
+
"""Execute a web automation task using function calling"""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 182 |
|
| 183 |
+
# Prepare function definitions for Groq
|
| 184 |
+
functions = []
|
| 185 |
+
for name, func_info in AVAILABLE_FUNCTIONS.items():
|
| 186 |
+
functions.append({
|
| 187 |
+
"type": "function",
|
| 188 |
+
"function": {
|
| 189 |
+
"name": name,
|
| 190 |
+
"description": func_info["description"],
|
| 191 |
+
"parameters": func_info["parameters"]
|
| 192 |
+
}
|
| 193 |
+
})
|
| 194 |
+
|
| 195 |
+
# System prompt
|
| 196 |
+
system_prompt = """You are a web automation expert. Execute the user's web automation task step by step using the available browser functions.
|
| 197 |
+
|
| 198 |
+
Available functions:
|
| 199 |
+
- open_website(url) - Open any website
|
| 200 |
+
- list_elements() - See all clickable elements and inputs on page
|
| 201 |
+
- click_element(element_id) - Click buttons, links by their ID number
|
| 202 |
+
- type_text(field_id, text) - Type into input fields by ID
|
| 203 |
+
- submit_form() - Submit forms
|
| 204 |
+
- get_page_info() - Get page details
|
| 205 |
+
- scroll_down(chunks) - Scroll to see more content
|
| 206 |
+
- search_page(term) - Find text on current page
|
| 207 |
+
|
| 208 |
+
Work step by step:
|
| 209 |
+
1. First understand what the user wants
|
| 210 |
+
2. Open the website if needed
|
| 211 |
+
3. List elements to see what's available
|
| 212 |
+
4. Interact with elements as needed
|
| 213 |
+
5. Provide clear feedback on each step
|
| 214 |
+
|
| 215 |
+
Always explain what you're doing and why."""
|
| 216 |
+
|
| 217 |
+
messages = [
|
| 218 |
+
{"role": "system", "content": system_prompt},
|
| 219 |
+
{"role": "user", "content": user_instruction}
|
| 220 |
+
]
|
| 221 |
+
|
| 222 |
+
execution_log = []
|
| 223 |
+
max_iterations = 10
|
| 224 |
|
| 225 |
try:
|
| 226 |
+
for iteration in range(max_iterations):
|
| 227 |
+
# Call Groq with function calling
|
| 228 |
+
response = groq_client.chat.completions.create(
|
| 229 |
+
model="qwen2.5-32b-instruct",
|
| 230 |
+
messages=messages,
|
| 231 |
+
tools=functions,
|
| 232 |
+
tool_choice="auto",
|
| 233 |
+
max_tokens=1000,
|
| 234 |
+
temperature=0.1
|
| 235 |
+
)
|
| 236 |
+
|
| 237 |
+
message = response.choices[0].message
|
| 238 |
+
|
| 239 |
+
# Add assistant message to conversation
|
| 240 |
+
messages.append({
|
| 241 |
+
"role": "assistant",
|
| 242 |
+
"content": message.content,
|
| 243 |
+
"tool_calls": message.tool_calls
|
| 244 |
+
})
|
| 245 |
+
|
| 246 |
+
# Log assistant response
|
| 247 |
+
if message.content:
|
| 248 |
+
execution_log.append(f"π€ **AI**: {message.content}")
|
| 249 |
+
|
| 250 |
+
# Execute function calls if any
|
| 251 |
+
if message.tool_calls:
|
| 252 |
+
for tool_call in message.tool_calls:
|
| 253 |
+
function_name = tool_call.function.name
|
| 254 |
+
function_args = json.loads(tool_call.function.arguments)
|
| 255 |
+
|
| 256 |
+
execution_log.append(f"π§ **Executing**: {function_name}({function_args})")
|
| 257 |
+
|
| 258 |
+
# Execute the function
|
| 259 |
+
if function_name in AVAILABLE_FUNCTIONS:
|
| 260 |
+
try:
|
| 261 |
+
result = AVAILABLE_FUNCTIONS[function_name]["function"](**function_args)
|
| 262 |
+
execution_log.append(f"β
**Result**: {result['message']}")
|
| 263 |
+
|
| 264 |
+
# Add function result to conversation
|
| 265 |
+
messages.append({
|
| 266 |
+
"role": "tool",
|
| 267 |
+
"tool_call_id": tool_call.id,
|
| 268 |
+
"content": json.dumps(result)
|
| 269 |
+
})
|
| 270 |
+
except Exception as e:
|
| 271 |
+
error_msg = f"Error executing {function_name}: {str(e)}"
|
| 272 |
+
execution_log.append(f"β **Error**: {error_msg}")
|
| 273 |
+
messages.append({
|
| 274 |
+
"role": "tool",
|
| 275 |
+
"tool_call_id": tool_call.id,
|
| 276 |
+
"content": json.dumps({"success": False, "message": error_msg})
|
| 277 |
+
})
|
| 278 |
+
else:
|
| 279 |
+
# No more function calls, task completed
|
| 280 |
+
break
|
| 281 |
+
|
| 282 |
+
return "\n\n".join(execution_log)
|
| 283 |
+
|
| 284 |
except Exception as e:
|
| 285 |
+
return f"β **Error**: {str(e)}\n\n{traceback.format_exc()}"
|
| 286 |
|
| 287 |
# Initialize agent
|
| 288 |
+
agent = WebAutomationAgent()
|
| 289 |
|
| 290 |
def execute_user_task(message: str, history: List[List[str]]) -> tuple:
|
| 291 |
"""Process user message and execute task"""
|
|
|
|
| 297 |
|
| 298 |
try:
|
| 299 |
# Execute task
|
| 300 |
+
result = agent.execute_task(message)
|
| 301 |
# Update with result
|
| 302 |
history[-1][1] = result
|
| 303 |
except Exception as e:
|
| 304 |
+
history[-1][1] = f"β **Error**: {str(e)}"
|
| 305 |
|
| 306 |
return history, ""
|
| 307 |
|
|
|
|
| 311 |
# Sample tasks
|
| 312 |
sample_tasks = [
|
| 313 |
"Open google.com and search for 'web automation'",
|
| 314 |
+
"Go to example.com and list all elements on the page",
|
| 315 |
+
"Navigate to github.com and find the login button",
|
| 316 |
+
"Open a news website and get the page information",
|
| 317 |
+
"Visit stackoverflow.com and scroll down to see more content"
|
| 318 |
]
|
| 319 |
|
|
|
|
|
|
|
|
|
|
| 320 |
# Create Gradio Interface
|
| 321 |
with gr.Blocks(title="AI Web Agent", theme=gr.themes.Soft()) as demo:
|
| 322 |
|
| 323 |
gr.HTML("""
|
| 324 |
<div style="text-align: center; margin: 20px;">
|
| 325 |
<h1>π€ AI Web Automation Agent</h1>
|
| 326 |
+
<p><strong>Julia Browser + Direct Groq Integration (Qwen-32B)</strong></p>
|
| 327 |
+
<p>Pure implementation without CrewAI - Function calling with Groq!</p>
|
| 328 |
</div>
|
| 329 |
""")
|
| 330 |
|
| 331 |
+
# Main chat interface
|
| 332 |
chatbot = gr.Chatbot(
|
| 333 |
label="Agent Execution",
|
| 334 |
height=600,
|
|
|
|
| 336 |
)
|
| 337 |
|
| 338 |
# Centered input section
|
| 339 |
+
with gr.Row():
|
| 340 |
with gr.Column(scale=1):
|
| 341 |
pass # Left spacer
|
| 342 |
with gr.Column(scale=3):
|
|
|
|
| 344 |
user_input = gr.Textbox(
|
| 345 |
placeholder="Tell me what to do on the web...",
|
| 346 |
container=False,
|
| 347 |
+
scale=4
|
|
|
|
| 348 |
)
|
| 349 |
send_btn = gr.Button("π Execute", variant="primary", scale=1)
|
| 350 |
|
|
|
|
| 361 |
|
| 362 |
for i, task in enumerate(sample_tasks):
|
| 363 |
sample_btn = gr.Button(
|
| 364 |
+
f"Sample {i+1}: {task[:35]}...",
|
| 365 |
variant="outline",
|
| 366 |
size="sm"
|
| 367 |
)
|
|
|
|
| 374 |
with gr.Column():
|
| 375 |
gr.HTML("""
|
| 376 |
<div style="padding: 15px; background: #f8f9fa; border-radius: 8px;">
|
| 377 |
+
<h4>π‘ Features:</h4>
|
| 378 |
<ul style="font-size: 12px;">
|
| 379 |
+
<li>Direct Groq function calling</li>
|
| 380 |
+
<li>No CrewAI dependencies</li>
|
| 381 |
+
<li>Step-by-step execution</li>
|
| 382 |
+
<li>Real browser automation</li>
|
| 383 |
</ul>
|
| 384 |
</div>
|
| 385 |
""")
|
|
|
|
| 421 |
print("β οΈ Warning: GROQ_API_KEY not found in environment variables")
|
| 422 |
print("Set it with: export GROQ_API_KEY='your_api_key_here'")
|
| 423 |
|
| 424 |
+
print("π Starting AI Web Automation Agent (Direct Implementation)...")
|
| 425 |
+
print("π Available browser functions:")
|
| 426 |
+
for name, info in AVAILABLE_FUNCTIONS.items():
|
| 427 |
+
print(f" - {name}: {info['description']}")
|
| 428 |
|
| 429 |
+
# For Hugging Face Spaces
|
| 430 |
port = int(os.getenv("PORT", 7860))
|
| 431 |
|
| 432 |
demo.launch(
|