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Download app.py from chuckconway/First_agent_template: direct link, hf CLI and curl.
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https://huggingface.co/spaces/chuckconway/First_agent_template/resolve/main/app.py
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hf download hf://spaces/chuckconway/First_agent_template/app.py
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curl -L -o app.py https://huggingface.co/spaces/chuckconway/First_agent_template/resolve/main/app.py
2.39 kB
| import os | |
| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| import json | |
| import yaml | |
| from tools.final_answer import FinalAnswerTool | |
| import wikipediaapi | |
| from Gradio_UI import GradioUI | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def search_with_duckduckgo(query: str)-> 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 | |
| """DuckDuckGo Search Engine | |
| Args: | |
| query: The query you want to be passed to the search engine. | |
| """ | |
| search = DuckDuckGoSearchTool() | |
| return search.forward(query) | |
| def search_wikipedia(query: str) -> str: | |
| """A tool that fetches the current local time in a specified timezone. | |
| Args: | |
| query: Search Wikipedia for a term or phrase. | |
| """ | |
| wiki = wikipediaapi.Wikipedia(user_agent='Chuck Conway (charles.conway@mailme.com)', | |
| language='en') | |
| try: | |
| print(f"Searching Wikipedia for: {query}") | |
| page = wiki.page(query) | |
| if page.exists(): | |
| # Create a dictionary with query, title, and summary | |
| result = { | |
| "query": query, | |
| "title": page.title, | |
| "summary": page.summary | |
| } | |
| return json.dumps(result, ensure_ascii=False, indent=2) | |
| else: | |
| print(f"No results found for query: {query}") | |
| return None | |
| except Exception as e: | |
| print(f"An error occurred while processing the Wikipedia query: {e}") | |
| return 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) | |
| model = HfApiModel( | |
| model_id="mistralai/Mistral-7B-instruct-v0.3", | |
| token=os.getenv("HF_TOKEN"), | |
| max_tokens=5000, | |
| ) | |
| model.last_input_token_count = 0 | |
| model.last_output_token_count = 0 | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[FinalAnswerTool(), search_with_duckduckgo, search_wikipedia], ## 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() |