Update app.py
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app.py
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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#
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@tool
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def comment_code(code: str) -> str:
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"""
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Args:
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code: The input code as a string.
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"""
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try:
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#
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commented_code = ""
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for line in code.split('\n'):
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stripped = line.strip()
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if stripped:
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if "def " in stripped:
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commented_code += "# This defines a function\n"
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elif "import " in stripped:
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commented_code += "# Importing necessary modules\n"
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elif "for " in stripped or "while " in stripped:
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commented_code += "# Looping through values\n"
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elif "if " in stripped:
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commented_code += "# Checking a condition\n"
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elif "return " in stripped:
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commented_code += "# Returning a value from the function\n"
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commented_code += line + "\n"
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return commented_code
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except Exception as e:
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return f"Error processing code: {str(e)}"
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#
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@tool
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def extract_code_from_image(image_path: str) -> str:
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"""
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Args:
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image_path: The path to the image file.
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"""
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try:
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from PIL import Image
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import pytesseract
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image = Image.open(image_path)
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code_text = pytesseract.image_to_string(image)
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return code_text
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except Exception as e:
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return f"Error extracting code from image: {str(e)}"
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#
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@tool
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def extract_code_from_file(file_path: str) -> str:
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"""
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Args:
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file_path: The path to the file containing code.
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"""
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try:
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with open(file_path, 'r') as f:
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code_text = f.read()
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return code_text
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except Exception as e:
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return f"Error reading code from file: {str(e)}"
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=None,
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)
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#
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[final_answer, comment_code, extract_code_from_image, extract_code_from_file],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name="Code Commenter",
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description="An agent that adds explanatory comments to code in simple terms.",
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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# Importing necessary modules and tools for our application.
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# These libraries help us work with code, dates, files, images, and the user interface.
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime # Helps with dates and times.
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import requests # Lets us make web requests.
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import yaml # Reads YAML files, which are used for configuration.
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from tools.final_answer import FinalAnswerTool # Custom tool to finalize the answer.
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from Gradio_UI import GradioUI # Module for creating a simple web interface.
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# -----------------------------
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# Tool: comment_code
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# -----------------------------
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# This function takes a piece of code and adds comments to explain what each part does.
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@tool
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def comment_code(code: str) -> str:
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"""
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A tool that takes a block of code and returns the same code with added comments.
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The comments explain each part of the code in simple terms.
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Args:
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code: The input code as a string.
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"""
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try:
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# Start with an empty string to collect our commented code.
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commented_code = ""
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# Split the code into lines so we can process each line separately.
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for line in code.split('\n'):
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stripped = line.strip() # Remove extra spaces from the beginning and end.
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if stripped:
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# Check if the line defines a function.
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if "def " in stripped:
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commented_code += "# This defines a function\n"
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# Check if the line imports a module.
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elif "import " in stripped:
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commented_code += "# Importing necessary modules\n"
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# Check if the line is a loop (for or while).
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elif "for " in stripped or "while " in stripped:
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commented_code += "# Looping through values\n"
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# Check if the line contains a conditional statement.
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elif "if " in stripped:
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commented_code += "# Checking a condition\n"
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# Check if the line returns a value.
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elif "return " in stripped:
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commented_code += "# Returning a value from the function\n"
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# Add the original code line after the comment.
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commented_code += line + "\n"
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return commented_code
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except Exception as e:
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# If something goes wrong, return an error message.
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return f"Error processing code: {str(e)}"
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# -----------------------------
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# Tool: extract_code_from_image
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# -----------------------------
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# This tool extracts text (code) from an image file, like a screenshot.
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@tool
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def extract_code_from_image(image_path: str) -> str:
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"""
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Extracts text from an image file (a screenshot) that contains code.
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Args:
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image_path: The path to the image file.
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"""
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try:
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from PIL import Image # Module for opening and working with images.
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import pytesseract # OCR tool to extract text from images.
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image = Image.open(image_path) # Open the image file.
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code_text = pytesseract.image_to_string(image) # Extract text from the image.
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return code_text
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except Exception as e:
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# Return an error message if extraction fails.
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return f"Error extracting code from image: {str(e)}"
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# -----------------------------
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# Tool: extract_code_from_file
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# -----------------------------
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# This tool reads code from a file and returns it as text.
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@tool
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def extract_code_from_file(file_path: str) -> str:
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"""
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Reads code text from a file.
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Args:
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file_path: The path to the file containing code.
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"""
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try:
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with open(file_path, 'r') as f: # Open the file in read mode.
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code_text = f.read() # Read the content of the file.
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return code_text
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except Exception as e:
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# Return an error message if the file cannot be read.
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return f"Error reading code from file: {str(e)}"
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# Create an instance of the FinalAnswerTool.
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final_answer = FinalAnswerTool()
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# -----------------------------
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# Set up the language model.
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# -----------------------------
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# This model will help the agent understand and process code-related tasks.
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model = HfApiModel(
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max_tokens=2096, # Maximum tokens the model can output.
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temperature=0.5, # Controls randomness in the model's output.
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct', # Specific model to use.
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custom_role_conversions=None, # No custom role conversion needed here.
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)
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# -----------------------------
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# Optionally, load an image generation tool.
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# -----------------------------
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# This tool is loaded from an external source, though it isn't used directly here.
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# -----------------------------
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# Load prompt templates from a configuration file.
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# -----------------------------
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# This file likely contains text instructions that help guide the agent.
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# -----------------------------
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# Set up the CodeAgent.
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# -----------------------------
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# The agent uses the model and the tools to perform tasks.
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agent = CodeAgent(
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model=model,
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tools=[final_answer, comment_code, extract_code_from_image, extract_code_from_file],
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max_steps=6, # Limit on how many steps the agent can take.
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verbosity_level=1, # Level of detail in the logs/output.
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grammar=None, # No special grammar rules are applied.
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planning_interval=None, # No specific planning interval set.
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name="Code Commenter", # Name of the agent.
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description="An agent that adds explanatory comments to code in simple terms.",
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prompt_templates=prompt_templates # Prompts to guide the agent's responses.
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)
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# -----------------------------
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# Launch the Gradio user interface.
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# -----------------------------
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# Gradio creates a simple web interface for users to interact with the agent.
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GradioUI(agent).launch()
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