File size: 2,729 Bytes
f6fc677 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 |
import os
from llama_index.core.tools import FunctionTool
from llama_index.tools.tavily_research import TavilyToolSpec
from llama_index.readers.wikipedia import WikipediaReader
from llama_index.readers.papers import ArxivReader
from llama_index.core.tools.ondemand_loader_tool import OnDemandLoaderTool
from huggingface_hub import list_models
# Math functions
def multiply(a: int, b: int) -> int:
"""Multiply two numbers."""
return a * b
def add(a: int, b: int) -> int:
"""Add two numbers."""
return a + b
def subtract(a: int, b: int) -> int:
"""Subtract two numbers."""
return a - b
def divide(a: int, b: int) -> int:
"""Divide two numbers."""
if b == 0:
raise ValueError("Cannot divide by zero.")
return a / b
def modulus(a: int, b: int) -> int:
"""Get the modulus of two numbers."""
return a % b
# Hugging Face Hub stats tool
def get_hub_stats(author: str) -> str:
"""Fetches the most downloaded model from a specific author on the Hugging Face Hub."""
try:
models = list(list_models(author=author, sort="downloads", direction=-1, limit=1))
if models:
model = models[0]
return f"The most downloaded model by {author} is {model.id} with {model.downloads:,} downloads."
else:
return f"No models found for author {author}."
except Exception as e:
return f"Error fetching models for {author}: {str(e)}"
# Tool initializations (as functions to be called in agent)
def get_tavily_tool():
return TavilyToolSpec(api_key=os.getenv("TAVILY_API_KEY"))
def get_arxiv_reader():
return ArxivReader()
def get_wikipedia_reader():
return WikipediaReader()
def get_wikipedia_tool(wikipedia_reader=None):
if wikipedia_reader is None:
wikipedia_reader = get_wikipedia_reader()
return OnDemandLoaderTool.from_defaults(
wikipedia_reader,
name="Wikipedia Tool",
description="A tool for loading data and querying articles from Wikipedia",
)
def get_arxiv_tool(arxiv_reader=None):
if arxiv_reader is None:
arxiv_reader = get_arxiv_reader()
return OnDemandLoaderTool.from_defaults(
arxiv_reader,
name="Arxiv Tool",
description="A tool for loading data and querying articles from Arxiv",
)
def get_search_tool():
return get_tavily_tool().to_tool_list()
def get_calculator_tool():
return [
FunctionTool.from_defaults(multiply),
FunctionTool.from_defaults(add),
FunctionTool.from_defaults(subtract),
FunctionTool.from_defaults(divide),
FunctionTool.from_defaults(modulus),
]
def get_hub_stats_tool():
return FunctionTool.from_defaults(get_hub_stats)
|