Spaces:
Running
on
Zero
Running
on
Zero
update app
Browse files
app.py
CHANGED
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@@ -3,6 +3,8 @@ import os
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import shutil
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import time
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import uuid
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import unicodedata
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from io import BytesIO
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from threading import Timer
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@@ -13,11 +15,17 @@ import gradio as gr
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import torch
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import spaces
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from dotenv import load_dotenv
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from e2b_desktop import Sandbox
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from gradio_modal import Modal
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from huggingface_hub import login, upload_folder
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from PIL import Image, ImageDraw
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# Smolagents imports
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from smolagents import CodeAgent, tool, AgentImage
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from smolagents.memory import ActionStep, TaskStep
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@@ -38,14 +46,12 @@ load_dotenv(override=True)
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# CONFIGURATION & CONSTANTS
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# -----------------------------------------------------------------------------
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E2B_API_KEY = os.getenv("E2B_API")
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HF_TOKEN = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")
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if HF_TOKEN:
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login(token=HF_TOKEN)
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-
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SANDBOX_METADATA = {}
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SANDBOX_TIMEOUT = 600
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WIDTH = 1024
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HEIGHT = 768
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TMP_DIR = "./tmp/"
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@@ -58,7 +64,6 @@ if not os.path.exists(TMP_DIR):
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print("Loading Fara Model... This may take a moment.")
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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# Using the Microsoft Fara model as requested
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MODEL_ID_F = "microsoft/Fara-7B"
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# Global model variables
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@@ -76,7 +81,7 @@ try:
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print(f"Fara Model loaded successfully on {DEVICE}")
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except Exception as e:
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print(f"Error loading Fara Model: {e}")
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print("Falling back to Qwen/Qwen2.5-VL-7B-Instruct
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try:
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MODEL_ID_F = "Qwen/Qwen2.5-VL-7B-Instruct"
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processor_f = AutoProcessor.from_pretrained(MODEL_ID_F, trust_remote_code=True)
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@@ -98,15 +103,13 @@ except Exception as e:
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@spaces.GPU(duration=120)
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def run_model_inference(formatted_messages, max_tokens=1024, stop_sequences=None):
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"""
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It receives simple python objects (lists/dicts), not the complex Agent object.
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"""
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global model_f, processor_f
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if model_f is None:
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raise ValueError("Model is not loaded.")
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# Process Inputs (Tokenization happens here to ensure tensors are on correct device)
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text = processor_f.apply_chat_template(
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formatted_messages, tokenize=False, add_generation_prompt=True
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)
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@@ -121,10 +124,8 @@ def run_model_inference(formatted_messages, max_tokens=1024, stop_sequences=None
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return_tensors="pt",
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)
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# Move inputs to the model's device (GPU)
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inputs = inputs.to(model_f.device)
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# Generate
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with torch.no_grad():
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generated_ids = model_f.generate(
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**inputs,
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@@ -133,7 +134,6 @@ def run_model_inference(formatted_messages, max_tokens=1024, stop_sequences=None
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tokenizer=processor_f.tokenizer,
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)
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# Decode
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generated_ids_trimmed = [
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out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
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]
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@@ -145,9 +145,6 @@ def run_model_inference(formatted_messages, max_tokens=1024, stop_sequences=None
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class FaraLocalModel(Model):
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"""
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Wrapper for the local Fara (Qwen2.5-VL) model to work with SmolAgents.
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"""
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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@@ -159,13 +156,9 @@ class FaraLocalModel(Model):
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) -> ChatMessage:
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formatted_messages = []
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# Convert SmolAgents messages to Qwen/Transformers format
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# We perform this conversion here (CPU side) to create simple dicts/lists
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for msg in messages:
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role = msg["role"]
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content = msg["content"]
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-
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new_content = []
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if isinstance(content, str):
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@@ -177,7 +170,6 @@ class FaraLocalModel(Model):
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elif isinstance(item, dict):
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if "type" in item:
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if item["type"] == "image":
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# Handle path or url - extract value to ensure serializability
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val = item.get("image") or item.get("url") or item.get("path")
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new_content.append({"type": "image", "image": val})
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else:
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@@ -185,9 +177,6 @@ class FaraLocalModel(Model):
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formatted_messages.append({"role": role, "content": new_content})
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# Call the decorated global function
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# This crosses the boundary to the GPU worker safely because
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# formatted_messages contains only standard Python types (str, list, dict, PIL.Image)
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output_text = run_model_inference(
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formatted_messages=formatted_messages,
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max_tokens=kwargs.get("max_tokens", 1024),
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@@ -200,14 +189,138 @@ class FaraLocalModel(Model):
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)
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# -----------------------------------------------------------------------------
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#
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# -----------------------------------------------------------------------------
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-
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<action process>
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You will be given a task to solve in several steps. At each step you will perform an action.
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After each action, you'll receive an updated screenshot.
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Then you will proceed as follows, with these sections: don't skip any!
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Short term goal: ...
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</action_process>
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<tools>
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On top of performing computations in the Python code snippets that you create, you only have access to these tools to interact with the
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{%- for tool in tools.values() %}
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- {{ tool.name }}: {{ tool.description }}
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Takes inputs: {{tool.inputs}}
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</tools>
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<click_guidelines>
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-
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Use precise coordinates based on the current screenshot
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Whenever you click, MAKE SURE to click in the middle of the button, text, link or any other clickable element.
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In
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Sometimes you may have missed a click, so never assume that you're on the right page, always make sure that your previous action worked.
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In the screenshot you will see a green crosshair displayed over the position of your last click: this way can inspect if the mouse pointer is off of the targeted element, pay special attention to it.
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</click_guidelines>
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<general_guidelines>
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-
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Use
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Desktop menus usually expand with more options, the tiny triangle next to some text in a menu means that menu expands. For example in Office in the Applications menu expands showing presentation or writing applications.
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NEVER CLICK THE WEB BROWSER ICON TO OPEN THE WEB BROWSER: use open_url directly.
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In browser, ignore any sign-in popups while they don't interfere with the elements you want to interact with.
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</general_guidelines>
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""".replace("<<current_date>>", datetime.now().strftime("%A, %d-%B-%Y"))
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def draw_marker_on_image(image_copy, click_coordinates):
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x, y = click_coordinates
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draw = ImageDraw.Draw(image_copy)
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# Draw cross
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draw.line((x - cross_size, y, x + cross_size, y), fill="green", width=linewidth)
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draw.line((x, y - cross_size, x, y + cross_size), fill="green", width=linewidth)
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# Add a circle around it for better visibility
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draw.ellipse(
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(
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x - cross_size * 2,
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y - cross_size * 2,
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x + cross_size * 2,
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y + cross_size * 2,
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),
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outline="green",
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width=linewidth,
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)
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return image_copy
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for
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if hasattr(memory_step, "observations_images"):
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memory_step.observations_images = None
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if hasattr(memory_step, "task_images"):
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memory_step.task_images = None
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return agent.write_memory_to_messages()
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class E2BVisionAgent(CodeAgent):
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"""Agent for e2b desktop automation with Vision capabilities"""
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def __init__(
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self,
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model: Model,
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data_dir: str,
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-
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max_steps: int = 200,
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verbosity_level: LogLevel = 2,
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planning_interval: int = None,
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use_v1_prompt: bool = False,
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**kwargs,
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):
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self.
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self.data_dir = data_dir
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-
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# Initialize
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self.width
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print(f"Screen size: {self.width}x{self.height}")
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-
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# Set up temp directory
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os.makedirs(self.data_dir, exist_ok=True)
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print(f"Screenshots and steps will be saved to: {self.data_dir}")
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self.use_v1_prompt = use_v1_prompt
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# Initialize base agent
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super().__init__(
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tools=
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model=model,
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max_steps=max_steps,
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verbosity_level=verbosity_level,
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planning_interval=self.planning_interval,
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**kwargs,
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)
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-
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-
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-
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# Add screen info to state
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self.state["screen_width"] = self.width
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self.state["screen_height"] = self.height
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-
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self.logger.log("Setting up agent tools...")
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self._setup_desktop_tools()
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self.step_callbacks.append(self.take_screenshot_callback)
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def
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"""Register all desktop tools"""
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@tool
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def click(x: int, y: int) -> str:
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"""
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Performs a left-click at the specified coordinates
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Args:
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x: The x coordinate (horizontal position)
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y: The y coordinate (vertical position)
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"""
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self.
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self.desktop.left_click()
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self.click_coordinates = [x, y]
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return f"Clicked at coordinates ({x}, {y})"
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@tool
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def right_click(x: int, y: int) -> str:
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"""
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Performs a right-click at the specified coordinates
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Args:
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x: The x coordinate
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y: The y coordinate
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"""
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self.
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self.desktop.right_click()
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self.click_coordinates = [x, y]
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return f"Right-clicked at coordinates ({x}, {y})"
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@tool
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def double_click(x: int, y: int) -> str:
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"""
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Performs a double-click at the specified coordinates
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Args:
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x: The x coordinate
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y: The y coordinate
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"""
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self.
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self.desktop.double_click()
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self.click_coordinates = [x, y]
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return f"Double-clicked at coordinates ({x}, {y})"
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-
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@tool
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def move_mouse(x: int, y: int) -> str:
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"""
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Moves the mouse cursor to the specified coordinates
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Args:
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x: The x coordinate (horizontal position)
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y: The y coordinate (vertical position)
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"""
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self.desktop.move_mouse(x, y)
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self.logger.log(f"Moved mouse to coordinates ({x}, {y})")
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return f"Moved mouse to coordinates ({x}, {y})"
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-
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def normalize_text(text):
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return "".join(
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c
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for c in unicodedata.normalize("NFD", text)
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if not unicodedata.combining(c)
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)
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@tool
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def type_text(text: str) -> str:
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"""
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Types the specified text
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Args:
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text: The text to type
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"""
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clean_text =
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self.
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self.logger.log(f"Typed text: '{clean_text}'")
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return f"Typed text: '{clean_text}'"
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@tool
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def press_key(key: str) -> str:
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"""
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Presses a keyboard key
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Args:
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key: The key
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"""
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self.
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self.logger.log(f"Pressed key: {key}")
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return f"Pressed key: {key}"
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@tool
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def go_back() -> str:
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"""
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Goes back to the previous page in the browser.
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"""
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self.desktop.press(["alt", "left"])
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self.logger.log("Went back one page")
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return "Went back one page"
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@tool
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def drag_and_drop(x1: int, y1: int, x2: int, y2: int) -> str:
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"""
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Args:
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x1:
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y1:
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x2:
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y2:
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"""
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self.
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self.logger.log(message)
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return message
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@tool
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def scroll(
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"""
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Args:
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-
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direction: "up" or "down"
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amount: The amount to scroll.
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"""
|
| 456 |
-
self.
|
| 457 |
-
|
| 458 |
-
message = f"Scrolled {direction} by {amount}"
|
| 459 |
-
self.logger.log(message)
|
| 460 |
-
return message
|
| 461 |
|
| 462 |
@tool
|
| 463 |
def wait(seconds: float) -> str:
|
| 464 |
"""
|
| 465 |
Waits for the specified number of seconds.
|
| 466 |
Args:
|
| 467 |
-
seconds: The duration to wait
|
| 468 |
"""
|
| 469 |
time.sleep(seconds)
|
| 470 |
-
self.logger.log(f"Waited for {seconds} seconds")
|
| 471 |
return f"Waited for {seconds} seconds"
|
| 472 |
|
| 473 |
@tool
|
| 474 |
def open_url(url: str) -> str:
|
| 475 |
"""
|
| 476 |
-
|
| 477 |
Args:
|
| 478 |
-
url: The
|
| 479 |
"""
|
| 480 |
if not url.startswith(("http://", "https://")):
|
| 481 |
url = "https://" + url
|
| 482 |
-
|
| 483 |
-
|
| 484 |
-
|
| 485 |
-
|
| 486 |
-
|
|
|
|
|
|
|
| 487 |
|
| 488 |
@tool
|
| 489 |
-
def
|
| 490 |
"""
|
| 491 |
-
|
| 492 |
-
Args:
|
| 493 |
-
search_string: The text to search for on the page.
|
| 494 |
"""
|
| 495 |
-
self.
|
| 496 |
-
|
| 497 |
-
|
| 498 |
-
self.desktop.write(clean_text, delay_in_ms=75)
|
| 499 |
-
time.sleep(0.3)
|
| 500 |
-
self.desktop.press("enter")
|
| 501 |
-
time.sleep(0.3)
|
| 502 |
-
self.desktop.press("esc")
|
| 503 |
-
output_message = f"Scrolled to the first occurrence of '{clean_text}'"
|
| 504 |
-
self.logger.log(output_message)
|
| 505 |
-
return output_message
|
| 506 |
-
|
| 507 |
-
# Register the tools
|
| 508 |
self.tools["click"] = click
|
| 509 |
self.tools["right_click"] = right_click
|
| 510 |
self.tools["double_click"] = double_click
|
| 511 |
-
self.tools["move_mouse"] = move_mouse
|
| 512 |
self.tools["type_text"] = type_text
|
| 513 |
self.tools["press_key"] = press_key
|
|
|
|
| 514 |
self.tools["scroll"] = scroll
|
| 515 |
self.tools["wait"] = wait
|
| 516 |
self.tools["open_url"] = open_url
|
| 517 |
self.tools["go_back"] = go_back
|
| 518 |
-
self.tools["drag_and_drop"] = drag_and_drop
|
| 519 |
-
self.tools["find_on_page_ctrl_f"] = find_on_page_ctrl_f
|
| 520 |
|
| 521 |
-
def take_screenshot_callback(self, memory_step: ActionStep, agent=None) -> None:
|
| 522 |
-
"""Callback that takes a screenshot + memory snapshot after a step completes"""
|
| 523 |
-
self.logger.log("Analyzing screen content...")
|
| 524 |
|
|
|
|
|
|
|
| 525 |
current_step = memory_step.step_number
|
|
|
|
| 526 |
|
| 527 |
-
|
| 528 |
-
screenshot_bytes = self.desktop.screenshot(format="bytes")
|
| 529 |
-
image = Image.open(BytesIO(screenshot_bytes))
|
| 530 |
|
| 531 |
-
#
|
| 532 |
screenshot_path = os.path.join(self.data_dir, f"step_{current_step:03d}.png")
|
| 533 |
image.save(screenshot_path)
|
| 534 |
|
| 535 |
image_copy = image.copy()
|
| 536 |
-
|
| 537 |
if getattr(self, "click_coordinates", None):
|
| 538 |
image_copy = draw_marker_on_image(image_copy, self.click_coordinates)
|
| 539 |
|
| 540 |
self.last_marked_screenshot = AgentImage(screenshot_path)
|
| 541 |
-
|
| 542 |
-
|
| 543 |
-
# Optimization: remove previous raw images from memory to save context/speed
|
| 544 |
for previous_memory_step in agent.memory.steps:
|
| 545 |
-
if (
|
| 546 |
-
isinstance(previous_memory_step, ActionStep)
|
| 547 |
-
and previous_memory_step.step_number <= current_step - 1
|
| 548 |
-
):
|
| 549 |
previous_memory_step.observations_images = None
|
| 550 |
elif isinstance(previous_memory_step, TaskStep):
|
| 551 |
previous_memory_step.task_images = None
|
| 552 |
|
| 553 |
-
# Add the marker-edited image to the current memory step
|
| 554 |
memory_step.observations_images = [image_copy]
|
| 555 |
-
self.click_coordinates = None
|
| 556 |
-
|
| 557 |
-
|
| 558 |
-
# -----------------------------------------------------------------------------
|
| 559 |
-
# SANDBOX MANAGEMENT & HELPERS
|
| 560 |
-
# -----------------------------------------------------------------------------
|
| 561 |
-
|
| 562 |
-
def upload_to_hf_and_remove(folder_path):
|
| 563 |
-
repo_id = "smolagents/computer-agent-logs"
|
| 564 |
-
try:
|
| 565 |
-
folder_name = os.path.basename(os.path.normpath(folder_path))
|
| 566 |
-
print(f"Uploading {folder_path} to {repo_id}/{folder_name}...")
|
| 567 |
-
url = upload_folder(
|
| 568 |
-
folder_path=folder_path,
|
| 569 |
-
repo_id=repo_id,
|
| 570 |
-
repo_type="dataset",
|
| 571 |
-
path_in_repo=folder_name,
|
| 572 |
-
ignore_patterns=[".git/*", ".gitignore"],
|
| 573 |
-
)
|
| 574 |
-
print(f"Upload complete. Removing local folder {folder_path}...")
|
| 575 |
-
shutil.rmtree(folder_path)
|
| 576 |
-
return url
|
| 577 |
-
except Exception as e:
|
| 578 |
-
print(f"Error during upload or cleanup: {str(e)}")
|
| 579 |
-
# Don't raise, just log, to keep app running
|
| 580 |
-
return None
|
| 581 |
|
| 582 |
-
def cleanup_sandboxes():
|
| 583 |
-
current_time = time.time()
|
| 584 |
-
sandboxes_to_remove = []
|
| 585 |
|
| 586 |
-
|
| 587 |
-
|
| 588 |
-
|
| 589 |
-
|
| 590 |
-
|
| 591 |
-
|
| 592 |
-
|
| 593 |
-
|
| 594 |
-
if os.path.exists(data_dir):
|
| 595 |
-
shutil.rmtree(data_dir) # Just local cleanup for this demo
|
| 596 |
-
|
| 597 |
-
SANDBOXES[session_id].kill()
|
| 598 |
-
del SANDBOXES[session_id]
|
| 599 |
-
del SANDBOX_METADATA[session_id]
|
| 600 |
-
print(f"Cleaned up sandbox for session {session_id}")
|
| 601 |
-
except Exception as e:
|
| 602 |
-
print(f"Error cleaning up sandbox {session_id}: {str(e)}")
|
| 603 |
-
|
| 604 |
-
def get_or_create_sandbox(session_uuid):
|
| 605 |
-
current_time = time.time()
|
| 606 |
-
|
| 607 |
-
if (
|
| 608 |
-
session_uuid in SANDBOXES
|
| 609 |
-
and session_uuid in SANDBOX_METADATA
|
| 610 |
-
and current_time - SANDBOX_METADATA[session_uuid]["created_at"]
|
| 611 |
-
< SANDBOX_TIMEOUT
|
| 612 |
-
):
|
| 613 |
-
print(f"Reusing Sandbox for {session_uuid}")
|
| 614 |
-
SANDBOX_METADATA[session_uuid]["last_accessed"] = current_time
|
| 615 |
-
return SANDBOXES[session_uuid]
|
| 616 |
-
else:
|
| 617 |
-
print("No sandbox found, creating a new one")
|
| 618 |
-
|
| 619 |
-
if session_uuid in SANDBOXES:
|
| 620 |
-
try:
|
| 621 |
-
SANDBOXES[session_uuid].kill()
|
| 622 |
-
except Exception:
|
| 623 |
-
pass
|
| 624 |
-
|
| 625 |
-
print(f"Creating new sandbox for session {session_uuid}")
|
| 626 |
-
desktop = Sandbox(
|
| 627 |
-
api_key=E2B_API_KEY,
|
| 628 |
-
resolution=(WIDTH, HEIGHT),
|
| 629 |
-
dpi=96,
|
| 630 |
-
timeout=SANDBOX_TIMEOUT,
|
| 631 |
-
template="k0wmnzir0zuzye6dndlw",
|
| 632 |
)
|
| 633 |
-
desktop.stream.start(require_auth=True)
|
| 634 |
-
setup_cmd = """sudo mkdir -p /usr/lib/firefox-esr/distribution && echo '{"policies":{"OverrideFirstRunPage":"","OverridePostUpdatePage":"","DisableProfileImport":true,"DontCheckDefaultBrowser":true}}' | sudo tee /usr/lib/firefox-esr/distribution/policies.json > /dev/null"""
|
| 635 |
-
desktop.commands.run(setup_cmd)
|
| 636 |
|
| 637 |
-
|
| 638 |
-
|
| 639 |
-
|
| 640 |
-
|
| 641 |
-
|
| 642 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 643 |
|
| 644 |
def save_final_status(folder, status: str, summary, error_message=None) -> None:
|
| 645 |
try:
|
|
@@ -653,142 +600,24 @@ def save_final_status(folder, status: str, summary, error_message=None) -> None:
|
|
| 653 |
except Exception as e:
|
| 654 |
print(f"Failed to save metadata: {e}")
|
| 655 |
|
| 656 |
-
def create_agent(data_dir, desktop):
|
| 657 |
-
# Initialize the wrapper that calls the global GPU function
|
| 658 |
-
model = FaraLocalModel()
|
| 659 |
-
|
| 660 |
-
return E2BVisionAgent(
|
| 661 |
-
model=model,
|
| 662 |
-
data_dir=data_dir,
|
| 663 |
-
desktop=desktop,
|
| 664 |
-
max_steps=200,
|
| 665 |
-
verbosity_level=2,
|
| 666 |
-
use_v1_prompt=True,
|
| 667 |
-
)
|
| 668 |
-
|
| 669 |
-
def generate_interaction_id(session_uuid):
|
| 670 |
-
return f"{session_uuid}_{int(time.time())}"
|
| 671 |
-
|
| 672 |
# -----------------------------------------------------------------------------
|
| 673 |
-
#
|
| 674 |
# -----------------------------------------------------------------------------
|
| 675 |
|
|
|
|
| 676 |
custom_css = """
|
| 677 |
.modal-container { margin: var(--size-16) auto!important; }
|
| 678 |
-
.
|
| 679 |
-
.
|
| 680 |
-
|
| 681 |
-
|
| 682 |
-
|
| 683 |
-
|
| 684 |
-
|
| 685 |
-
|
| 686 |
-
|
| 687 |
-
.status-error { background-color: #e74c3c; animation: blink-error 1s infinite; }
|
| 688 |
-
@keyframes blink-error { 0% { background-color: rgba(231, 76, 60, 1); } 50% { background-color: rgba(231, 76, 60, 0.4); } 100% { background-color: rgba(231, 76, 60, 1); } }
|
| 689 |
-
@keyframes blink { 0% { background-color: rgba(46, 204, 113, 1); } 50% { background-color: rgba(46, 204, 113, 0.4); } 100% { background-color: rgba(46, 204, 113, 1); } }
|
| 690 |
-
#chatbot { height:1000px!important; }
|
| 691 |
-
#chatbot .role { max-width:95% }
|
| 692 |
-
.logo-container { display: flex; flex-direction: column; align-items: flex-start; gap: 5px; }
|
| 693 |
-
.logo-item { display: flex; align-items: center; padding: 0 30px; gap: 10px; text-decoration: none!important; color: #f59e0b; font-size:17px; }
|
| 694 |
-
""".replace("<<WIDTH>>", str(WIDTH + 15)).replace("<<HEIGHT>>", str(HEIGHT + 10))
|
| 695 |
-
|
| 696 |
-
sandbox_html_template = """
|
| 697 |
-
<style>
|
| 698 |
-
@import url('https://fonts.googleapis.com/css2?family=Oxanium:wght@200..800&display=swap');
|
| 699 |
-
</style>
|
| 700 |
-
<h1 style="color:var(--color-accent);margin:0;">Fara CUA - <i>Powered by <a href="https://github.com/huggingface/smolagents">smolagents</a></i><h1>
|
| 701 |
-
<div class="sandbox-container" style="margin:0;">
|
| 702 |
-
<div class="status-bar">
|
| 703 |
-
<div class="status-indicator {status_class}"></div>
|
| 704 |
-
<div class="status-text">{status_text}</div>
|
| 705 |
-
</div>
|
| 706 |
-
<iframe id="sandbox-iframe"
|
| 707 |
-
src="{stream_url}"
|
| 708 |
-
class="sandbox-iframe"
|
| 709 |
-
style="display: block;"
|
| 710 |
-
allowfullscreen>
|
| 711 |
-
</iframe>
|
| 712 |
-
<img src="https://huggingface.co/datasets/mfarre/servedfiles/resolve/main/blue_screen_of_death.gif" class="bsod-image" style="display: none;"/>
|
| 713 |
-
<img src="https://huggingface.co/datasets/m-ric/images/resolve/main/HUD_thom.png" class="sandbox-frame" />
|
| 714 |
</div>
|
| 715 |
-
"""
|
| 716 |
-
|
| 717 |
-
custom_js = """function() {
|
| 718 |
-
document.body.classList.add('dark');
|
| 719 |
-
// Function to check if sandbox is timing out
|
| 720 |
-
const checkSandboxTimeout = function() {
|
| 721 |
-
const timeElement = document.getElementById('sandbox-creation-time');
|
| 722 |
-
if (timeElement) {
|
| 723 |
-
const creationTime = parseFloat(timeElement.getAttribute('data-time'));
|
| 724 |
-
const timeoutValue = parseFloat(timeElement.getAttribute('data-timeout'));
|
| 725 |
-
const currentTime = Math.floor(Date.now() / 1000);
|
| 726 |
-
if (currentTime - creationTime >= timeoutValue) {
|
| 727 |
-
showBSOD('Error');
|
| 728 |
-
return;
|
| 729 |
-
}
|
| 730 |
-
}
|
| 731 |
-
setTimeout(checkSandboxTimeout, 5000);
|
| 732 |
-
};
|
| 733 |
-
const showBSOD = function(statusText = 'Error') {
|
| 734 |
-
const iframe = document.getElementById('sandbox-iframe');
|
| 735 |
-
const bsod = document.getElementById('bsod-image');
|
| 736 |
-
if (iframe && bsod) {
|
| 737 |
-
iframe.style.display = 'none';
|
| 738 |
-
bsod.style.display = 'block';
|
| 739 |
-
document.querySelector('.status-indicator').className = 'status-indicator status-error';
|
| 740 |
-
document.querySelector('.status-text').innerText = statusText;
|
| 741 |
-
}
|
| 742 |
-
};
|
| 743 |
-
const resetBSOD = function() {
|
| 744 |
-
const iframe = document.getElementById('sandbox-iframe');
|
| 745 |
-
const bsod = document.getElementById('bsod-image');
|
| 746 |
-
if (iframe && bsod && bsod.style.display === 'block') {
|
| 747 |
-
iframe.style.display = 'block';
|
| 748 |
-
bsod.style.display = 'none';
|
| 749 |
-
}
|
| 750 |
-
};
|
| 751 |
-
document.addEventListener('click', function(e) {
|
| 752 |
-
if (e.target.tagName === 'BUTTON' && e.target.innerText === "Let's go!") {
|
| 753 |
-
resetBSOD();
|
| 754 |
-
}
|
| 755 |
-
});
|
| 756 |
-
checkSandboxTimeout();
|
| 757 |
-
const params = new URLSearchParams(window.location.search);
|
| 758 |
-
if (!params.has('__theme')) {
|
| 759 |
-
params.set('__theme', 'dark');
|
| 760 |
-
window.location.search = params.toString();
|
| 761 |
-
}
|
| 762 |
-
}"""
|
| 763 |
-
|
| 764 |
-
def update_html(interactive_mode: bool, session_uuid):
|
| 765 |
-
desktop = get_or_create_sandbox(session_uuid)
|
| 766 |
-
auth_key = desktop.stream.get_auth_key()
|
| 767 |
-
base_url = desktop.stream.get_url(auth_key=auth_key)
|
| 768 |
-
stream_url = base_url if interactive_mode else f"{base_url}&view_only=true"
|
| 769 |
-
|
| 770 |
-
status_class = "status-interactive" if interactive_mode else "status-view-only"
|
| 771 |
-
status_text = "Interactive" if interactive_mode else "Agent running..."
|
| 772 |
-
creation_time = (
|
| 773 |
-
SANDBOX_METADATA[session_uuid]["created_at"]
|
| 774 |
-
if session_uuid in SANDBOX_METADATA
|
| 775 |
-
else time.time()
|
| 776 |
-
)
|
| 777 |
-
|
| 778 |
-
sandbox_html_content = sandbox_html_template.format(
|
| 779 |
-
stream_url=stream_url,
|
| 780 |
-
status_class=status_class,
|
| 781 |
-
status_text=status_text,
|
| 782 |
-
)
|
| 783 |
-
sandbox_html_content += f'<div id="sandbox-creation-time" style="display:none;" data-time="{creation_time}" data-timeout="{SANDBOX_TIMEOUT}"></div>'
|
| 784 |
-
return sandbox_html_content
|
| 785 |
-
|
| 786 |
-
def initialize_session(interactive_mode, browser_uuid):
|
| 787 |
-
if not browser_uuid:
|
| 788 |
-
new_uuid = str(uuid.uuid4())
|
| 789 |
-
return update_html(interactive_mode, new_uuid), new_uuid
|
| 790 |
-
else:
|
| 791 |
-
return update_html(interactive_mode, browser_uuid), browser_uuid
|
| 792 |
|
| 793 |
class EnrichedGradioUI(GradioUI):
|
| 794 |
def interact_with_agent(
|
|
@@ -801,35 +630,30 @@ class EnrichedGradioUI(GradioUI):
|
|
| 801 |
request: gr.Request,
|
| 802 |
):
|
| 803 |
interaction_id = generate_interaction_id(session_uuid)
|
| 804 |
-
desktop = get_or_create_sandbox(session_uuid)
|
| 805 |
-
|
| 806 |
data_dir = os.path.join(TMP_DIR, interaction_id)
|
| 807 |
-
|
| 808 |
-
|
| 809 |
-
|
| 810 |
-
|
| 811 |
-
|
| 812 |
-
# if possible, or if we do, we ensure this function isn't wrapped in @spaces.GPU
|
| 813 |
-
agent = create_agent(data_dir=data_dir, desktop=desktop)
|
| 814 |
-
session_state["agent"] = agent # Storing in state is fine if this function runs on CPU
|
| 815 |
|
| 816 |
try:
|
| 817 |
stored_messages.append(gr.ChatMessage(role="user", content=task_input))
|
| 818 |
-
yield stored_messages
|
| 819 |
-
|
| 820 |
-
screenshot_bytes = agent.desktop.screenshot(format="bytes")
|
| 821 |
-
initial_screenshot = Image.open(BytesIO(screenshot_bytes))
|
| 822 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 823 |
for msg in stream_to_gradio(
|
| 824 |
agent,
|
| 825 |
task=task_input,
|
| 826 |
-
task_images=[
|
| 827 |
reset_agent_memory=False,
|
| 828 |
):
|
| 829 |
-
|
| 830 |
-
|
| 831 |
-
|
| 832 |
-
):
|
| 833 |
stored_messages.append(
|
| 834 |
gr.ChatMessage(
|
| 835 |
role="assistant",
|
|
@@ -839,13 +663,17 @@ class EnrichedGradioUI(GradioUI):
|
|
| 839 |
},
|
| 840 |
)
|
| 841 |
)
|
| 842 |
-
|
| 843 |
-
|
|
|
|
|
|
|
|
|
|
| 844 |
|
| 845 |
if consent_storage:
|
| 846 |
summary = get_agent_summary_erase_images(agent)
|
| 847 |
save_final_status(data_dir, "completed", summary=summary)
|
| 848 |
-
|
|
|
|
| 849 |
|
| 850 |
except Exception as e:
|
| 851 |
error_message = f"Error in interaction: {str(e)}"
|
|
@@ -853,121 +681,87 @@ class EnrichedGradioUI(GradioUI):
|
|
| 853 |
stored_messages.append(
|
| 854 |
gr.ChatMessage(role="assistant", content="Run failed:\n" + error_message)
|
| 855 |
)
|
| 856 |
-
|
| 857 |
-
|
| 858 |
-
|
| 859 |
-
|
| 860 |
-
# -----------------------------------------------------------------------------
|
| 861 |
-
# MAIN APP CONSTRUCTION
|
| 862 |
-
# -----------------------------------------------------------------------------
|
| 863 |
|
|
|
|
| 864 |
theme = gr.themes.Default(
|
| 865 |
font=["Oxanium", "sans-serif"], primary_hue="amber", secondary_hue="blue"
|
| 866 |
)
|
| 867 |
|
| 868 |
-
with gr.Blocks(theme=theme, css=custom_css
|
| 869 |
-
session_uuid_state = gr.State(
|
|
|
|
|
|
|
| 870 |
|
| 871 |
with gr.Row():
|
| 872 |
-
|
| 873 |
-
|
| 874 |
-
|
| 875 |
-
|
| 876 |
-
status_text="Interactive",
|
| 877 |
-
),
|
| 878 |
-
label="Output",
|
| 879 |
-
)
|
| 880 |
-
with gr.Sidebar(position="left"):
|
| 881 |
-
with Modal(visible=True) as modal:
|
| 882 |
-
gr.Markdown("""### Welcome to Fara CUA Demo 🖥️
|
| 883 |
-
This agent uses **microsoft/Fara-7B** (running locally via ZeroGPU) and **smolagents** to control a remote computer.
|
| 884 |
-
|
| 885 |
-
👉 Type a task, click 'Let's go!', and watch the agent work.
|
| 886 |
-
""")
|
| 887 |
task_input = gr.Textbox(
|
| 888 |
-
value="
|
| 889 |
-
label="
|
| 890 |
-
|
| 891 |
)
|
| 892 |
-
|
| 893 |
-
|
| 894 |
|
| 895 |
-
|
| 896 |
-
stop_btn = gr.Button("Stop the agent!", variant="secondary")
|
| 897 |
-
consent_storage = gr.Checkbox(label="Store logs locally?", value=True)
|
| 898 |
|
| 899 |
gr.Examples(
|
| 900 |
examples=[
|
| 901 |
-
"
|
| 902 |
-
"Go to
|
| 903 |
-
"
|
| 904 |
],
|
| 905 |
-
inputs=task_input
|
| 906 |
)
|
| 907 |
|
| 908 |
-
|
| 909 |
-
|
| 910 |
-
|
| 911 |
-
|
| 912 |
-
|
| 913 |
-
|
| 914 |
-
|
| 915 |
-
|
| 916 |
-
|
| 917 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 918 |
|
| 919 |
-
#
|
| 920 |
-
# We pass a dummy CodeAgent just to initialize the UI class
|
| 921 |
agent_ui = EnrichedGradioUI(CodeAgent(tools=[], model=Model(), name="init"))
|
| 922 |
|
| 923 |
-
is_interactive = gr.Checkbox(value=True, visible=False)
|
| 924 |
-
|
| 925 |
-
def clear_and_set_view_only(task_input, session_uuid):
|
| 926 |
-
return update_html(False, session_uuid)
|
| 927 |
-
|
| 928 |
-
def set_interactive(session_uuid):
|
| 929 |
-
return update_html(True, session_uuid)
|
| 930 |
-
|
| 931 |
def interrupt_agent(session_state):
|
| 932 |
-
if "agent" in session_state and hasattr(session_state["agent"], "interrupt_switch")
|
| 933 |
-
session_state["agent"].
|
| 934 |
-
return "
|
| 935 |
-
|
| 936 |
-
|
| 937 |
-
|
| 938 |
-
|
| 939 |
-
|
| 940 |
-
|
| 941 |
-
|
| 942 |
-
|
| 943 |
-
|
| 944 |
-
|
| 945 |
-
|
| 946 |
-
|
| 947 |
-
task_input,
|
| 948 |
-
stored_messages,
|
| 949 |
-
session_state,
|
| 950 |
-
session_uuid_state,
|
| 951 |
-
consent_storage,
|
| 952 |
-
],
|
| 953 |
-
outputs=[chatbot_display],
|
| 954 |
-
)
|
| 955 |
-
.then(fn=set_interactive, inputs=[session_uuid_state], outputs=[sandbox_html])
|
| 956 |
)
|
| 957 |
|
| 958 |
stop_btn.click(fn=interrupt_agent, inputs=[session_state], outputs=[])
|
| 959 |
|
| 960 |
-
# Initialization on load
|
| 961 |
-
demo.load(
|
| 962 |
-
fn=lambda: True,
|
| 963 |
-
outputs=[is_interactive],
|
| 964 |
-
).then(
|
| 965 |
-
fn=initialize_session,
|
| 966 |
-
js="() => localStorage.getItem('gradio-session-uuid') || (() => { const id = self.crypto.randomUUID(); localStorage.setItem('gradio-session-uuid', id); return id })()",
|
| 967 |
-
inputs=[is_interactive],
|
| 968 |
-
outputs=[sandbox_html, session_uuid_state],
|
| 969 |
-
)
|
| 970 |
-
|
| 971 |
if __name__ == "__main__":
|
| 972 |
-
Timer(60, cleanup_sandboxes).start()
|
| 973 |
demo.launch()
|
|
|
|
| 3 |
import shutil
|
| 4 |
import time
|
| 5 |
import uuid
|
| 6 |
+
import tempfile
|
| 7 |
+
import atexit
|
| 8 |
import unicodedata
|
| 9 |
from io import BytesIO
|
| 10 |
from threading import Timer
|
|
|
|
| 15 |
import torch
|
| 16 |
import spaces
|
| 17 |
from dotenv import load_dotenv
|
|
|
|
|
|
|
|
|
|
| 18 |
from PIL import Image, ImageDraw
|
| 19 |
|
| 20 |
+
# Selenium Imports
|
| 21 |
+
from selenium import webdriver
|
| 22 |
+
from selenium.webdriver.chrome.service import Service as ChromeService
|
| 23 |
+
from selenium.webdriver.chrome.options import Options as ChromeOptions
|
| 24 |
+
from selenium.webdriver.common.action_chains import ActionChains
|
| 25 |
+
from selenium.webdriver.common.by import By
|
| 26 |
+
from selenium.webdriver.common.keys import Keys
|
| 27 |
+
from webdriver_manager.chrome import ChromeDriverManager
|
| 28 |
+
|
| 29 |
# Smolagents imports
|
| 30 |
from smolagents import CodeAgent, tool, AgentImage
|
| 31 |
from smolagents.memory import ActionStep, TaskStep
|
|
|
|
| 46 |
# CONFIGURATION & CONSTANTS
|
| 47 |
# -----------------------------------------------------------------------------
|
| 48 |
|
|
|
|
| 49 |
HF_TOKEN = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")
|
| 50 |
if HF_TOKEN:
|
| 51 |
+
from huggingface_hub import login
|
| 52 |
login(token=HF_TOKEN)
|
| 53 |
|
| 54 |
+
# Browser Sandbox Config
|
|
|
|
|
|
|
| 55 |
WIDTH = 1024
|
| 56 |
HEIGHT = 768
|
| 57 |
TMP_DIR = "./tmp/"
|
|
|
|
| 64 |
|
| 65 |
print("Loading Fara Model... This may take a moment.")
|
| 66 |
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
|
|
|
|
| 67 |
MODEL_ID_F = "microsoft/Fara-7B"
|
| 68 |
|
| 69 |
# Global model variables
|
|
|
|
| 81 |
print(f"Fara Model loaded successfully on {DEVICE}")
|
| 82 |
except Exception as e:
|
| 83 |
print(f"Error loading Fara Model: {e}")
|
| 84 |
+
print("Falling back to Qwen/Qwen2.5-VL-7B-Instruct...")
|
| 85 |
try:
|
| 86 |
MODEL_ID_F = "Qwen/Qwen2.5-VL-7B-Instruct"
|
| 87 |
processor_f = AutoProcessor.from_pretrained(MODEL_ID_F, trust_remote_code=True)
|
|
|
|
| 103 |
@spaces.GPU(duration=120)
|
| 104 |
def run_model_inference(formatted_messages, max_tokens=1024, stop_sequences=None):
|
| 105 |
"""
|
| 106 |
+
Runs inference on the GPU worker.
|
|
|
|
| 107 |
"""
|
| 108 |
global model_f, processor_f
|
| 109 |
|
| 110 |
if model_f is None:
|
| 111 |
raise ValueError("Model is not loaded.")
|
| 112 |
|
|
|
|
| 113 |
text = processor_f.apply_chat_template(
|
| 114 |
formatted_messages, tokenize=False, add_generation_prompt=True
|
| 115 |
)
|
|
|
|
| 124 |
return_tensors="pt",
|
| 125 |
)
|
| 126 |
|
|
|
|
| 127 |
inputs = inputs.to(model_f.device)
|
| 128 |
|
|
|
|
| 129 |
with torch.no_grad():
|
| 130 |
generated_ids = model_f.generate(
|
| 131 |
**inputs,
|
|
|
|
| 134 |
tokenizer=processor_f.tokenizer,
|
| 135 |
)
|
| 136 |
|
|
|
|
| 137 |
generated_ids_trimmed = [
|
| 138 |
out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
|
| 139 |
]
|
|
|
|
| 145 |
|
| 146 |
|
| 147 |
class FaraLocalModel(Model):
|
|
|
|
|
|
|
|
|
|
| 148 |
def __init__(self, **kwargs):
|
| 149 |
super().__init__(**kwargs)
|
| 150 |
|
|
|
|
| 156 |
) -> ChatMessage:
|
| 157 |
|
| 158 |
formatted_messages = []
|
|
|
|
|
|
|
|
|
|
| 159 |
for msg in messages:
|
| 160 |
role = msg["role"]
|
| 161 |
content = msg["content"]
|
|
|
|
| 162 |
new_content = []
|
| 163 |
|
| 164 |
if isinstance(content, str):
|
|
|
|
| 170 |
elif isinstance(item, dict):
|
| 171 |
if "type" in item:
|
| 172 |
if item["type"] == "image":
|
|
|
|
| 173 |
val = item.get("image") or item.get("url") or item.get("path")
|
| 174 |
new_content.append({"type": "image", "image": val})
|
| 175 |
else:
|
|
|
|
| 177 |
|
| 178 |
formatted_messages.append({"role": role, "content": new_content})
|
| 179 |
|
|
|
|
|
|
|
|
|
|
| 180 |
output_text = run_model_inference(
|
| 181 |
formatted_messages=formatted_messages,
|
| 182 |
max_tokens=kwargs.get("max_tokens", 1024),
|
|
|
|
| 189 |
)
|
| 190 |
|
| 191 |
# -----------------------------------------------------------------------------
|
| 192 |
+
# SELENIUM CHROME SANDBOX
|
| 193 |
# -----------------------------------------------------------------------------
|
| 194 |
|
| 195 |
+
class SeleniumSandbox:
|
| 196 |
+
def __init__(self, width=1024, height=768):
|
| 197 |
+
self.width = width
|
| 198 |
+
self.height = height
|
| 199 |
+
self.tmp_dir = tempfile.mkdtemp(prefix="chrome_sandbox_")
|
| 200 |
+
|
| 201 |
+
# Setup Chrome Options
|
| 202 |
+
chrome_opts = ChromeOptions()
|
| 203 |
+
chrome_opts.add_argument("--headless=new") # Run headless for Space compatibility
|
| 204 |
+
chrome_opts.add_argument(f"--user-data-dir={self.tmp_dir}")
|
| 205 |
+
chrome_opts.add_argument(f"--window-size={width},{height}")
|
| 206 |
+
chrome_opts.add_argument("--no-sandbox")
|
| 207 |
+
chrome_opts.add_argument("--disable-dev-shm-usage")
|
| 208 |
+
chrome_opts.add_argument("--disable-extensions")
|
| 209 |
+
chrome_opts.add_argument("--disable-gpu")
|
| 210 |
+
chrome_opts.add_argument("--force-device-scale-factor=1")
|
| 211 |
+
chrome_opts.add_argument("--hide-scrollbars")
|
| 212 |
+
|
| 213 |
+
# Initialize Driver
|
| 214 |
+
try:
|
| 215 |
+
self.driver = webdriver.Chrome(
|
| 216 |
+
service=ChromeService(ChromeDriverManager().install()),
|
| 217 |
+
options=chrome_opts
|
| 218 |
+
)
|
| 219 |
+
# Ensure precise viewport size (excluding chrome UI overhead if any)
|
| 220 |
+
self.driver.set_window_size(width, height)
|
| 221 |
+
|
| 222 |
+
# Start with a blank page
|
| 223 |
+
self.driver.get("about:blank")
|
| 224 |
+
print(f"Selenium Chrome Driver started. Data dir: {self.tmp_dir}")
|
| 225 |
+
except Exception as e:
|
| 226 |
+
print(f"Failed to initialize Selenium: {e}")
|
| 227 |
+
self.cleanup()
|
| 228 |
+
raise e
|
| 229 |
+
|
| 230 |
+
def get_screenshot(self):
|
| 231 |
+
"""Returns screenshot as PIL Image"""
|
| 232 |
+
png_data = self.driver.get_screenshot_as_png()
|
| 233 |
+
return Image.open(BytesIO(png_data))
|
| 234 |
+
|
| 235 |
+
def move_mouse_and_click(self, x, y, click_type="left"):
|
| 236 |
+
"""
|
| 237 |
+
Simulate mouse movement and click using ActionChains.
|
| 238 |
+
Note: Selenium tracks state, so we move relative to the 'body' tag to ensure absolute positioning simulation.
|
| 239 |
+
"""
|
| 240 |
+
try:
|
| 241 |
+
body = self.driver.find_element(By.TAG_NAME, "body")
|
| 242 |
+
actions = ActionChains(self.driver)
|
| 243 |
+
|
| 244 |
+
# Move to 0,0 of body, then offset
|
| 245 |
+
actions.move_to_element_with_offset(body, 0, 0)
|
| 246 |
+
actions.move_by_offset(x, y)
|
| 247 |
+
|
| 248 |
+
if click_type == "left":
|
| 249 |
+
actions.click()
|
| 250 |
+
elif click_type == "right":
|
| 251 |
+
actions.context_click()
|
| 252 |
+
elif click_type == "double":
|
| 253 |
+
actions.double_click()
|
| 254 |
+
|
| 255 |
+
actions.perform()
|
| 256 |
+
except Exception as e:
|
| 257 |
+
print(f"Error in move_mouse_and_click: {e}")
|
| 258 |
+
|
| 259 |
+
def drag_and_drop(self, x1, y1, x2, y2):
|
| 260 |
+
try:
|
| 261 |
+
body = self.driver.find_element(By.TAG_NAME, "body")
|
| 262 |
+
actions = ActionChains(self.driver)
|
| 263 |
+
|
| 264 |
+
actions.move_to_element_with_offset(body, 0, 0)
|
| 265 |
+
actions.move_by_offset(x1, y1)
|
| 266 |
+
actions.click_and_hold()
|
| 267 |
+
|
| 268 |
+
# Move relative from x1,y1 to x2,y2
|
| 269 |
+
actions.move_by_offset(x2 - x1, y2 - y1)
|
| 270 |
+
actions.release()
|
| 271 |
+
actions.perform()
|
| 272 |
+
except Exception as e:
|
| 273 |
+
print(f"Error in drag_and_drop: {e}")
|
| 274 |
+
|
| 275 |
+
def type_text(self, text):
|
| 276 |
+
actions = ActionChains(self.driver)
|
| 277 |
+
actions.send_keys(text)
|
| 278 |
+
actions.perform()
|
| 279 |
+
|
| 280 |
+
def press_key(self, key_name):
|
| 281 |
+
try:
|
| 282 |
+
k = getattr(Keys, key_name.upper(), None)
|
| 283 |
+
if not k:
|
| 284 |
+
# Handle common overrides
|
| 285 |
+
if key_name.lower() == "enter": k = Keys.ENTER
|
| 286 |
+
elif key_name.lower() == "space": k = Keys.SPACE
|
| 287 |
+
elif key_name.lower() == "backspace": k = Keys.BACK_SPACE
|
| 288 |
+
elif key_name.lower() == "esc": k = Keys.ESCAPE
|
| 289 |
+
else: k = key_name # Fallback to literal
|
| 290 |
+
|
| 291 |
+
actions = ActionChains(self.driver)
|
| 292 |
+
actions.send_keys(k)
|
| 293 |
+
actions.perform()
|
| 294 |
+
except Exception as e:
|
| 295 |
+
print(f"Error pressing key: {e}")
|
| 296 |
+
|
| 297 |
+
def scroll(self, amount, direction="down"):
|
| 298 |
+
# Selenium doesn't have a great scroll wheel primitive, use JS
|
| 299 |
+
try:
|
| 300 |
+
scroll_y = amount * 100 # Arbitrary multiplier to match "notches"
|
| 301 |
+
if direction == "up":
|
| 302 |
+
scroll_y = -scroll_y
|
| 303 |
+
self.driver.execute_script(f"window.scrollBy(0, {scroll_y});")
|
| 304 |
+
except Exception as e:
|
| 305 |
+
print(f"Error scrolling: {e}")
|
| 306 |
+
|
| 307 |
+
def cleanup(self):
|
| 308 |
+
try:
|
| 309 |
+
if hasattr(self, 'driver'):
|
| 310 |
+
self.driver.quit()
|
| 311 |
+
except:
|
| 312 |
+
pass
|
| 313 |
+
shutil.rmtree(self.tmp_dir, ignore_errors=True)
|
| 314 |
+
|
| 315 |
+
# -----------------------------------------------------------------------------
|
| 316 |
+
# AGENT SETUP
|
| 317 |
+
# -----------------------------------------------------------------------------
|
| 318 |
+
|
| 319 |
+
SYSTEM_PROMPT_TEMPLATE = """You are a browser automation assistant controlling a Google Chrome web browser. The current date is <<current_date>>.
|
| 320 |
|
| 321 |
<action process>
|
| 322 |
You will be given a task to solve in several steps. At each step you will perform an action.
|
| 323 |
+
After each action, you'll receive an updated screenshot of the browser.
|
| 324 |
Then you will proceed as follows, with these sections: don't skip any!
|
| 325 |
|
| 326 |
Short term goal: ...
|
|
|
|
| 335 |
</action_process>
|
| 336 |
|
| 337 |
<tools>
|
| 338 |
+
On top of performing computations in the Python code snippets that you create, you only have access to these tools to interact with the browser:
|
| 339 |
{%- for tool in tools.values() %}
|
| 340 |
- {{ tool.name }}: {{ tool.description }}
|
| 341 |
Takes inputs: {{tool.inputs}}
|
|
|
|
| 344 |
</tools>
|
| 345 |
|
| 346 |
<click_guidelines>
|
| 347 |
+
The browser has a resolution of <<resolution_x>>x<<resolution_y>> pixels.
|
| 348 |
+
NEVER USE HYPOTHETIC OR ASSUMED COORDINATES, USE TRUE COORDINATES that you can see from the screenshot.
|
| 349 |
+
Use precise coordinates based on the current screenshot.
|
| 350 |
+
Whenever you click, MAKE SURE to click in the middle of the button, text, link or any other clickable element.
|
| 351 |
+
In the screenshot you will see a green crosshair displayed over the position of your last click.
|
|
|
|
|
|
|
| 352 |
</click_guidelines>
|
| 353 |
|
| 354 |
<general_guidelines>
|
| 355 |
+
Execute one action at a time.
|
| 356 |
+
Use `open_url` to navigate to websites.
|
| 357 |
+
Use `click` to navigate links and interface elements.
|
| 358 |
+
Use `type_text` to input into forms.
|
| 359 |
+
Use `scroll` to see more content.
|
| 360 |
+
If you get stuck, try using `open_url` to search on Google.
|
|
|
|
|
|
|
|
|
|
| 361 |
</general_guidelines>
|
| 362 |
""".replace("<<current_date>>", datetime.now().strftime("%A, %d-%B-%Y"))
|
| 363 |
|
|
|
|
| 364 |
def draw_marker_on_image(image_copy, click_coordinates):
|
| 365 |
x, y = click_coordinates
|
| 366 |
draw = ImageDraw.Draw(image_copy)
|
|
|
|
| 368 |
# Draw cross
|
| 369 |
draw.line((x - cross_size, y, x + cross_size, y), fill="green", width=linewidth)
|
| 370 |
draw.line((x, y - cross_size, x, y + cross_size), fill="green", width=linewidth)
|
|
|
|
| 371 |
draw.ellipse(
|
| 372 |
+
(x - cross_size * 2, y - cross_size * 2, x + cross_size * 2, y + cross_size * 2),
|
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|
| 373 |
outline="green",
|
| 374 |
width=linewidth,
|
| 375 |
)
|
| 376 |
return image_copy
|
| 377 |
|
| 378 |
+
class SeleniumVisionAgent(CodeAgent):
|
| 379 |
+
"""Agent for Browser automation with Selenium and Vision"""
|
|
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|
| 380 |
|
| 381 |
def __init__(
|
| 382 |
self,
|
| 383 |
model: Model,
|
| 384 |
data_dir: str,
|
| 385 |
+
sandbox: SeleniumSandbox,
|
| 386 |
+
max_steps: int = 20,
|
|
|
|
| 387 |
verbosity_level: LogLevel = 2,
|
|
|
|
|
|
|
| 388 |
**kwargs,
|
| 389 |
):
|
| 390 |
+
self.sandbox = sandbox
|
| 391 |
self.data_dir = data_dir
|
| 392 |
+
|
| 393 |
+
# Initialize
|
| 394 |
+
print(f"Browser size: {self.sandbox.width}x{self.sandbox.height}")
|
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|
| 395 |
os.makedirs(self.data_dir, exist_ok=True)
|
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|
| 396 |
|
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|
| 397 |
super().__init__(
|
| 398 |
+
tools=[],
|
| 399 |
model=model,
|
| 400 |
max_steps=max_steps,
|
| 401 |
verbosity_level=verbosity_level,
|
|
|
|
| 402 |
**kwargs,
|
| 403 |
)
|
| 404 |
+
|
| 405 |
+
self.prompt_templates["system_prompt"] = SYSTEM_PROMPT_TEMPLATE.replace(
|
| 406 |
+
"<<resolution_x>>", str(self.sandbox.width)
|
| 407 |
+
).replace("<<resolution_y>>", str(self.sandbox.height))
|
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|
|
| 408 |
|
| 409 |
+
self.register_tools()
|
|
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|
|
| 410 |
self.step_callbacks.append(self.take_screenshot_callback)
|
| 411 |
|
| 412 |
+
def register_tools(self):
|
|
|
|
| 413 |
|
| 414 |
@tool
|
| 415 |
def click(x: int, y: int) -> str:
|
| 416 |
"""
|
| 417 |
+
Performs a left-click at the specified coordinates.
|
| 418 |
Args:
|
| 419 |
+
x: The x coordinate (horizontal position).
|
| 420 |
+
y: The y coordinate (vertical position).
|
| 421 |
"""
|
| 422 |
+
self.sandbox.move_mouse_and_click(x, y, "left")
|
|
|
|
| 423 |
self.click_coordinates = [x, y]
|
| 424 |
+
return f"Clicked at ({x}, {y})"
|
|
|
|
| 425 |
|
| 426 |
@tool
|
| 427 |
def right_click(x: int, y: int) -> str:
|
| 428 |
"""
|
| 429 |
+
Performs a right-click at the specified coordinates.
|
| 430 |
Args:
|
| 431 |
+
x: The x coordinate.
|
| 432 |
+
y: The y coordinate.
|
| 433 |
"""
|
| 434 |
+
self.sandbox.move_mouse_and_click(x, y, "right")
|
|
|
|
| 435 |
self.click_coordinates = [x, y]
|
| 436 |
+
return f"Right-clicked at ({x}, {y})"
|
|
|
|
| 437 |
|
| 438 |
@tool
|
| 439 |
def double_click(x: int, y: int) -> str:
|
| 440 |
"""
|
| 441 |
+
Performs a double-click at the specified coordinates.
|
| 442 |
Args:
|
| 443 |
+
x: The x coordinate.
|
| 444 |
+
y: The y coordinate.
|
| 445 |
"""
|
| 446 |
+
self.sandbox.move_mouse_and_click(x, y, "double")
|
|
|
|
| 447 |
self.click_coordinates = [x, y]
|
| 448 |
+
return f"Double-clicked at ({x}, {y})"
|
|
|
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|
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|
|
|
|
| 449 |
|
| 450 |
@tool
|
| 451 |
def type_text(text: str) -> str:
|
| 452 |
"""
|
| 453 |
+
Types the specified text.
|
| 454 |
Args:
|
| 455 |
+
text: The text to type.
|
| 456 |
"""
|
| 457 |
+
clean_text = unicodedata.normalize("NFD", text)
|
| 458 |
+
self.sandbox.type_text(clean_text)
|
|
|
|
| 459 |
return f"Typed text: '{clean_text}'"
|
| 460 |
|
| 461 |
@tool
|
| 462 |
def press_key(key: str) -> str:
|
| 463 |
"""
|
| 464 |
+
Presses a keyboard key (e.g., 'enter', 'backspace', 'esc').
|
| 465 |
Args:
|
| 466 |
+
key: The key name.
|
| 467 |
"""
|
| 468 |
+
self.sandbox.press_key(key)
|
|
|
|
| 469 |
return f"Pressed key: {key}"
|
| 470 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 471 |
@tool
|
| 472 |
def drag_and_drop(x1: int, y1: int, x2: int, y2: int) -> str:
|
| 473 |
"""
|
| 474 |
+
Drags from (x1, y1) and drops at (x2, y2).
|
| 475 |
Args:
|
| 476 |
+
x1: Start x coordinate.
|
| 477 |
+
y1: Start y coordinate.
|
| 478 |
+
x2: End x coordinate.
|
| 479 |
+
y2: End y coordinate.
|
| 480 |
"""
|
| 481 |
+
self.sandbox.drag_and_drop(x1, y1, x2, y2)
|
| 482 |
+
return f"Dragged from [{x1}, {y1}] to [{x2}, {y2}]"
|
|
|
|
|
|
|
| 483 |
|
| 484 |
@tool
|
| 485 |
+
def scroll(amount: int, direction: str = "down") -> str:
|
| 486 |
"""
|
| 487 |
+
Scrolls the page.
|
| 488 |
Args:
|
| 489 |
+
amount: The amount to scroll (1-10).
|
| 490 |
+
direction: "up" or "down".
|
|
|
|
|
|
|
| 491 |
"""
|
| 492 |
+
self.sandbox.scroll(amount, direction)
|
| 493 |
+
return f"Scrolled {direction} by {amount}"
|
|
|
|
|
|
|
|
|
|
| 494 |
|
| 495 |
@tool
|
| 496 |
def wait(seconds: float) -> str:
|
| 497 |
"""
|
| 498 |
Waits for the specified number of seconds.
|
| 499 |
Args:
|
| 500 |
+
seconds: The duration to wait.
|
| 501 |
"""
|
| 502 |
time.sleep(seconds)
|
|
|
|
| 503 |
return f"Waited for {seconds} seconds"
|
| 504 |
|
| 505 |
@tool
|
| 506 |
def open_url(url: str) -> str:
|
| 507 |
"""
|
| 508 |
+
Navigates the browser to the specified URL.
|
| 509 |
Args:
|
| 510 |
+
url: The URL to open.
|
| 511 |
"""
|
| 512 |
if not url.startswith(("http://", "https://")):
|
| 513 |
url = "https://" + url
|
| 514 |
+
try:
|
| 515 |
+
self.sandbox.driver.get(url)
|
| 516 |
+
time.sleep(2)
|
| 517 |
+
title = self.sandbox.driver.title
|
| 518 |
+
return f"Opened URL: {url}. Page Title: {title}"
|
| 519 |
+
except Exception as e:
|
| 520 |
+
return f"Failed to open URL: {e}"
|
| 521 |
|
| 522 |
@tool
|
| 523 |
+
def go_back() -> str:
|
| 524 |
"""
|
| 525 |
+
Goes back to the previous page in history.
|
|
|
|
|
|
|
| 526 |
"""
|
| 527 |
+
self.sandbox.driver.back()
|
| 528 |
+
return "Went back one page"
|
| 529 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 530 |
self.tools["click"] = click
|
| 531 |
self.tools["right_click"] = right_click
|
| 532 |
self.tools["double_click"] = double_click
|
|
|
|
| 533 |
self.tools["type_text"] = type_text
|
| 534 |
self.tools["press_key"] = press_key
|
| 535 |
+
self.tools["drag_and_drop"] = drag_and_drop
|
| 536 |
self.tools["scroll"] = scroll
|
| 537 |
self.tools["wait"] = wait
|
| 538 |
self.tools["open_url"] = open_url
|
| 539 |
self.tools["go_back"] = go_back
|
|
|
|
|
|
|
| 540 |
|
|
|
|
|
|
|
|
|
|
| 541 |
|
| 542 |
+
def take_screenshot_callback(self, memory_step: ActionStep, agent=None) -> None:
|
| 543 |
+
"""Takes a screenshot and saves it to memory"""
|
| 544 |
current_step = memory_step.step_number
|
| 545 |
+
time.sleep(1.0) # Wait for renders
|
| 546 |
|
| 547 |
+
image = self.sandbox.get_screenshot()
|
|
|
|
|
|
|
| 548 |
|
| 549 |
+
# Save to disk
|
| 550 |
screenshot_path = os.path.join(self.data_dir, f"step_{current_step:03d}.png")
|
| 551 |
image.save(screenshot_path)
|
| 552 |
|
| 553 |
image_copy = image.copy()
|
|
|
|
| 554 |
if getattr(self, "click_coordinates", None):
|
| 555 |
image_copy = draw_marker_on_image(image_copy, self.click_coordinates)
|
| 556 |
|
| 557 |
self.last_marked_screenshot = AgentImage(screenshot_path)
|
| 558 |
+
|
| 559 |
+
# Cleanup old images in memory to save RAM
|
|
|
|
| 560 |
for previous_memory_step in agent.memory.steps:
|
| 561 |
+
if isinstance(previous_memory_step, ActionStep) and previous_memory_step.step_number <= current_step - 1:
|
|
|
|
|
|
|
|
|
|
| 562 |
previous_memory_step.observations_images = None
|
| 563 |
elif isinstance(previous_memory_step, TaskStep):
|
| 564 |
previous_memory_step.task_images = None
|
| 565 |
|
|
|
|
| 566 |
memory_step.observations_images = [image_copy]
|
| 567 |
+
self.click_coordinates = None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
| 568 |
|
|
|
|
|
|
|
|
|
|
| 569 |
|
| 570 |
+
def create_agent(data_dir, sandbox):
|
| 571 |
+
model = FaraLocalModel()
|
| 572 |
+
return SeleniumVisionAgent(
|
| 573 |
+
model=model,
|
| 574 |
+
data_dir=data_dir,
|
| 575 |
+
sandbox=sandbox,
|
| 576 |
+
max_steps=30,
|
| 577 |
+
verbosity_level=2
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 578 |
)
|
|
|
|
|
|
|
|
|
|
| 579 |
|
| 580 |
+
def generate_interaction_id(session_uuid):
|
| 581 |
+
return f"{session_uuid}_{int(time.time())}"
|
| 582 |
+
|
| 583 |
+
def get_agent_summary_erase_images(agent):
|
| 584 |
+
for memory_step in agent.memory.steps:
|
| 585 |
+
if hasattr(memory_step, "observations_images"):
|
| 586 |
+
memory_step.observations_images = None
|
| 587 |
+
if hasattr(memory_step, "task_images"):
|
| 588 |
+
memory_step.task_images = None
|
| 589 |
+
return agent.write_memory_to_messages()
|
| 590 |
|
| 591 |
def save_final_status(folder, status: str, summary, error_message=None) -> None:
|
| 592 |
try:
|
|
|
|
| 600 |
except Exception as e:
|
| 601 |
print(f"Failed to save metadata: {e}")
|
| 602 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 603 |
# -----------------------------------------------------------------------------
|
| 604 |
+
# UI & APP
|
| 605 |
# -----------------------------------------------------------------------------
|
| 606 |
|
| 607 |
+
# CSS
|
| 608 |
custom_css = """
|
| 609 |
.modal-container { margin: var(--size-16) auto!important; }
|
| 610 |
+
.browser-container { position: relative; width: 100%; height: 600px; border: 1px solid #444; background: #222; display: flex; align-items: center; justify-content: center; overflow: hidden; }
|
| 611 |
+
.browser-image { max-width: 100%; max-height: 100%; object-fit: contain; }
|
| 612 |
+
#chatbot { height: 800px!important; }
|
| 613 |
+
"""
|
| 614 |
+
|
| 615 |
+
# HTML Template for the output area (Replaced IFrame with simple image holder logic handled by Gradio Image)
|
| 616 |
+
browser_html = """
|
| 617 |
+
<div class="browser-container">
|
| 618 |
+
<p style="color: #888;">Browser Screenshot will appear here after steps.</p>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 619 |
</div>
|
| 620 |
+
"""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
| 621 |
|
| 622 |
class EnrichedGradioUI(GradioUI):
|
| 623 |
def interact_with_agent(
|
|
|
|
| 630 |
request: gr.Request,
|
| 631 |
):
|
| 632 |
interaction_id = generate_interaction_id(session_uuid)
|
|
|
|
|
|
|
| 633 |
data_dir = os.path.join(TMP_DIR, interaction_id)
|
| 634 |
+
|
| 635 |
+
# Initialize Sandbox per run (clean slate)
|
| 636 |
+
sandbox = SeleniumSandbox(width=WIDTH, height=HEIGHT)
|
| 637 |
+
agent = create_agent(data_dir=data_dir, sandbox=sandbox)
|
| 638 |
+
session_state["agent"] = agent
|
|
|
|
|
|
|
|
|
|
| 639 |
|
| 640 |
try:
|
| 641 |
stored_messages.append(gr.ChatMessage(role="user", content=task_input))
|
| 642 |
+
yield stored_messages, None
|
|
|
|
|
|
|
|
|
|
| 643 |
|
| 644 |
+
# Initial screenshot
|
| 645 |
+
screenshot = sandbox.get_screenshot()
|
| 646 |
+
|
| 647 |
+
# Run Agent
|
| 648 |
for msg in stream_to_gradio(
|
| 649 |
agent,
|
| 650 |
task=task_input,
|
| 651 |
+
task_images=[screenshot],
|
| 652 |
reset_agent_memory=False,
|
| 653 |
):
|
| 654 |
+
# Update Chat
|
| 655 |
+
if hasattr(agent, "last_marked_screenshot") and msg.content == "-----":
|
| 656 |
+
# Add image to chat
|
|
|
|
| 657 |
stored_messages.append(
|
| 658 |
gr.ChatMessage(
|
| 659 |
role="assistant",
|
|
|
|
| 663 |
},
|
| 664 |
)
|
| 665 |
)
|
| 666 |
+
# Yield updated chat AND the latest screenshot for the side panel
|
| 667 |
+
yield stored_messages, agent.last_marked_screenshot.to_string()
|
| 668 |
+
else:
|
| 669 |
+
stored_messages.append(msg)
|
| 670 |
+
yield stored_messages, None # Keep previous side image
|
| 671 |
|
| 672 |
if consent_storage:
|
| 673 |
summary = get_agent_summary_erase_images(agent)
|
| 674 |
save_final_status(data_dir, "completed", summary=summary)
|
| 675 |
+
|
| 676 |
+
yield stored_messages, None
|
| 677 |
|
| 678 |
except Exception as e:
|
| 679 |
error_message = f"Error in interaction: {str(e)}"
|
|
|
|
| 681 |
stored_messages.append(
|
| 682 |
gr.ChatMessage(role="assistant", content="Run failed:\n" + error_message)
|
| 683 |
)
|
| 684 |
+
yield stored_messages, None
|
| 685 |
+
finally:
|
| 686 |
+
# Important: Cleanup Sandbox
|
| 687 |
+
sandbox.cleanup()
|
|
|
|
|
|
|
|
|
|
| 688 |
|
| 689 |
+
# Gradio Block Construction
|
| 690 |
theme = gr.themes.Default(
|
| 691 |
font=["Oxanium", "sans-serif"], primary_hue="amber", secondary_hue="blue"
|
| 692 |
)
|
| 693 |
|
| 694 |
+
with gr.Blocks(theme=theme, css=custom_css) as demo:
|
| 695 |
+
session_uuid_state = gr.State(lambda: str(uuid.uuid4()))
|
| 696 |
+
session_state = gr.State({})
|
| 697 |
+
stored_messages = gr.State([])
|
| 698 |
|
| 699 |
with gr.Row():
|
| 700 |
+
# Left Sidebar: Inputs
|
| 701 |
+
with gr.Column(scale=1):
|
| 702 |
+
gr.Markdown("### Fara CUA - Chrome Agent 🌐")
|
| 703 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 704 |
task_input = gr.Textbox(
|
| 705 |
+
value="Go to google.com and search for 'Hugging Face'",
|
| 706 |
+
label="Task",
|
| 707 |
+
lines=3
|
| 708 |
)
|
| 709 |
+
run_btn = gr.Button("Start Task", variant="primary")
|
| 710 |
+
stop_btn = gr.Button("Stop", variant="secondary")
|
| 711 |
|
| 712 |
+
consent_storage = gr.Checkbox(label="Save logs locally?", value=True)
|
|
|
|
|
|
|
| 713 |
|
| 714 |
gr.Examples(
|
| 715 |
examples=[
|
| 716 |
+
"Go to google.com and search for 'Hugging Face', then click the first link.",
|
| 717 |
+
"Go to wikipedia.org, type 'Python' in search, and click the search button.",
|
| 718 |
+
"Open huggingface.co and find the 'Spaces' link."
|
| 719 |
],
|
| 720 |
+
inputs=task_input
|
| 721 |
)
|
| 722 |
|
| 723 |
+
# Right Main: Chat & Live View
|
| 724 |
+
with gr.Column(scale=3):
|
| 725 |
+
with gr.Row():
|
| 726 |
+
# Side-by-side: Chat and Latest Screenshot
|
| 727 |
+
with gr.Column(scale=1):
|
| 728 |
+
chatbot_display = gr.Chatbot(
|
| 729 |
+
label="Agent Trace",
|
| 730 |
+
type="messages",
|
| 731 |
+
height=800,
|
| 732 |
+
avatar_images=(None, "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/smolagents/mascot_smol.png"),
|
| 733 |
+
)
|
| 734 |
+
with gr.Column(scale=1):
|
| 735 |
+
gr.Markdown("### Latest Browser View")
|
| 736 |
+
live_browser_view = gr.Image(
|
| 737 |
+
label="Browser View",
|
| 738 |
+
type="filepath",
|
| 739 |
+
interactive=False,
|
| 740 |
+
height=600
|
| 741 |
+
)
|
| 742 |
|
| 743 |
+
# UI Handler
|
|
|
|
| 744 |
agent_ui = EnrichedGradioUI(CodeAgent(tools=[], model=Model(), name="init"))
|
| 745 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 746 |
def interrupt_agent(session_state):
|
| 747 |
+
if "agent" in session_state and hasattr(session_state["agent"], "interrupt_switch"):
|
| 748 |
+
session_state["agent"].interrupt_switch = True
|
| 749 |
+
return "Interrupted"
|
| 750 |
+
|
| 751 |
+
# Run Logic
|
| 752 |
+
run_event = run_btn.click(
|
| 753 |
+
fn=agent_ui.interact_with_agent,
|
| 754 |
+
inputs=[
|
| 755 |
+
task_input,
|
| 756 |
+
stored_messages,
|
| 757 |
+
session_state,
|
| 758 |
+
session_uuid_state,
|
| 759 |
+
consent_storage,
|
| 760 |
+
],
|
| 761 |
+
outputs=[chatbot_display, live_browser_view]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 762 |
)
|
| 763 |
|
| 764 |
stop_btn.click(fn=interrupt_agent, inputs=[session_state], outputs=[])
|
| 765 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 766 |
if __name__ == "__main__":
|
|
|
|
| 767 |
demo.launch()
|