Spaces:
Sleeping
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add new tools for agent
Browse files
app.py
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# GradioUI(agent).launch()
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# new code: (by gemini)
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import datetime
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import pytz
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import requests
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import yaml
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# 1. Import spaces at the top
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import spaces
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from
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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@tool
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def my_custom_tool(arg1: str, arg2: int) -> str:
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"""A tool that does nothing yet
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@@ -91,6 +112,20 @@ def my_custom_tool(arg1: str, arg2: int) -> str:
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"""
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return "What magic will you build ?"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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@@ -104,37 +139,55 @@ def get_current_time_in_timezone(timezone: str) -> str:
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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)
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agent = CodeAgent(
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model=model,
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tools=[final_answer],
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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=None,
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description=None,
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prompt_templates=prompt_templates
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)
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# 2. Decorate the agent execution function for ZeroGPU
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@spaces.GPU
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def run_agent(prompt):
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return agent.run(prompt)
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# Launch Gradio UI
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GradioUI(agent).launch()
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# GradioUI(agent).launch()
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# new code: (by gemini + me + Agents course)
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# 1. Import spaces at the top
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import datetime
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import pytz
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import requests
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import yaml
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import spaces
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, FinalAnswerTool, InferenceClientModel
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#from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Gloable vars and important stuff:
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search_tool = DuckDuckGoSearchTool() #for search tool # the easy way.
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final_answer = FinalAnswerTool() #final answer tool
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# image generation tool
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# our llm:
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#model = HfApiModel(
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model = InferenceClientModel(
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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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# in `prompts.yml` we have sys_prompt.
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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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# Tools (user def tools):
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@tool
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def my_custom_tool(arg1: str, arg2: int) -> str:
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"""A tool that does nothing yet
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"""
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return "What magic will you build ?"
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@tool
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def hbty(b_day: str) -> str: #hbty = Happy Birthday to you
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"""
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A tool for wishing Happy Birthday, If use query or inputs have keyword "birthday".
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Args:
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b_day = a string, reprasenting valid question, or statement, if this staement have "birthday" or "bday" then wish "Happy Birthday to you"
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"""
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#return "Happy Birthday To You !!!! :)"
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cleaned_input = b_day.lower()
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if "birthday" in cleaned_input or "bday" in cleaned_input:
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return "Happy Birthday To You !!!! :)"
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else:
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return "No birthday mentioned in the statement."
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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@tool
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def get_search_results(query: str) -> str:
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"""A tool that fetches the data from the internet, for a specific search query.
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Args:
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query: A string representing a valid question or request for example, 'What is the capitol of india?'
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"""
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try:
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# DuckDuckGoSearchTool is callable directly with the query string
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search_results = _ddg_search(query)
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return search_results
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except Exception as e:
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return f"Error executing search query '{query}': {str(e)}"
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@tool
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def generate_code_snippet(language: str, task_description: str) -> str:
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"""Generates a clean code snippet in a requested programming language for a specific task.
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Args:
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language: The programming language to write (e.g., 'python', 'cpp', 'javascript', 'sql').
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task_description: A clear description of what the code should do.
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"""
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prompt = f"Write a clean, efficient {language} code snippet to fulfill this task: {task_description}. Provide brief comments."
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try:
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# Call the model to generate code
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response = model([{"role": "user", "content": prompt}])
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return response.content
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except Exception as e:
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return f"Error generating code: {str(e)}"
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# Runner code:
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# 2. Decorate the agent execution function for ZeroGPU
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@spaces.GPU
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def run_agent(prompt):
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return agent.run(prompt)
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# our agent:
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agent = CodeAgent(
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model=model,
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tools=[final_answer,generate_code_snippet,get_search_results,get_current_time_in_timezone,hbty,my_custom_tool,search_tool,image_generation_tool], # add your tools here (don't remove final_answer)
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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=None,
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description=None,
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prompt_templates=prompt_templates # Pass system prompt to CodeAgent
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)
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# Launch Gradio UI
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GradioUI(agent).launch()
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