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| import smolagents, numpy, math, xlrd, os | |
| from smolagents import ( | |
| CodeAgent, | |
| HfApiModel, | |
| InferenceClientModel, | |
| WebSearchTool, | |
| PythonInterpreterTool, | |
| FinalAnswerTool, | |
| DuckDuckGoSearchTool, | |
| GoogleSearchTool, | |
| VistWebPageTool | |
| ) | |
| #model_id = "Qwen/Qwen2.5-Coder-32B-Instruct" | |
| #model_id = 'meta-llama/Llama-3.3-70B-Instruct' | |
| #model = HfApiModel(model_id=model_id, token="HUGGINGFACEHUB_API_TOKEN") | |
| #agent = CodeAgent(tools=[], model=model, add_base_tools=True) | |
| #max_steps=5 | |
| #import os | |
| #from smolagents import CodeAgent, HfApiModel, InferenceClientModel, WebSearchTool | |
| class newAgent: | |
| """Adapts smolagents.CodeAgent to the HF course template API.""" | |
| def __init__(self): | |
| model_id = "meta-llama/Meta-Llama-3-70B-Instruct" # correct repo name | |
| hf_token = os.getenv("HUGGINGFACEHUB_API_TOKEN") # read real secret | |
| if not hf_token: | |
| raise RuntimeError("HUGGINGFACEHUB_API_TOKEN not set in Space secrets") | |
| model = HfApiModel(model_id=model_id, token=hf_token) | |
| # add_base_tools=True already gives you search, python, etc. | |
| self.agent = CodeAgent(tools=[], model=model, add_base_tools=True) | |
| def __call__(self, question: str) -> str: | |
| """ONE question in → ONE pure-text answer out.""" | |
| #↓ Replace .run with whatever method actually returns the answer string. | |
| result = self.agent.run(question) | |
| return answer | |
| #answer = self.run | |
| #agent.run( | |
| # "At what temperature and for how long should I bake French baguettes made with type 65 flour?", | |
| #) |