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| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type | |
| #Keep this format for the description / args / args description but feel free to modify the tool | |
| """A tool that creating a tender document template | |
| Args: | |
| arg1: the tender subject | |
| arg2: the number of sections | |
| """ | |
| output = """ | |
| # Tender Document Template: Building a Rag Article Generating System | |
| ## 1. Introduction | |
| This tender document outlines the requirements for the development of a Rag Article Generating System. The system is intended to automate the process of generating rag articles for various applications. | |
| ## 2. Scope of Work | |
| The scope of work includes the development, testing, and deployment of a Rag Article Generating System. The system should be capable of: | |
| - Generating high-quality rag articles based on given criteria. | |
| - Providing a user-friendly interface for operators. | |
| - Ensuring data security and privacy. | |
| ## 3. Deliverables | |
| The deliverables for this tender include: | |
| - A fully functional Rag Article Generating System. | |
| - Source code with proper documentation. | |
| - User manuals and training materials. | |
| - A one-year warranty and maintenance service. | |
| ## 4. Timeline | |
| The timeline for the project is as follows: | |
| - Proposal Submission: [Insert Date] | |
| - Evaluation Period: [Insert Date] | |
| - Contract Award: [Insert Date] | |
| - Development Period: [Insert Date] | |
| - Deployment: [Insert Date] | |
| ## 5. Evaluation Criteria | |
| The proposals will be evaluated based on the following criteria: | |
| - Technical Feasibility: 40% | |
| - Cost Effectiveness: 30% | |
| - Experience and Expertise: 20% | |
| - Customer References: 10% | |
| """ | |
| return output | |
| def get_current_time_in_timezone(timezone: str) -> str: | |
| """A tool that fetches the current local time in a specified timezone. | |
| Args: | |
| timezone: A string representing a valid timezone (e.g., 'America/New_York'). | |
| """ | |
| try: | |
| # Create timezone object | |
| tz = pytz.timezone(timezone) | |
| # Get current time in that timezone | |
| local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") | |
| return f"The current local time in {timezone} is: {local_time}" | |
| except Exception as e: | |
| return f"Error fetching time for timezone '{timezone}': {str(e)}" | |
| final_answer = FinalAnswerTool() | |
| # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: | |
| # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' | |
| model = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded | |
| custom_role_conversions=None, | |
| ) | |
| # Import tool from Hub | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, image_generation_tool, get_current_time_in_timezone, my_custom_tool], ## add your tools here (don't remove final answer) | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() |