File size: 1,699 Bytes
1ce59c5 9d2647f 1ce59c5 9d2647f 1ce59c5 9d2647f |
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 |
import gradio as gr
import pandas as pd
from langchain_tavily import TavilySearch
from utils.helpers import map_results
from .base import BaseInterfaceWrapper
async def tavily_search(query: str, api_key: str, max_results: int = 5) -> pd.DataFrame:
"""
Given a search query, returns the search results from Tavily.
Args:
query (str): The search query.
api_key (str): The API key for Tavily Search.
max_results (int, optional): The number of maximum results to return. Defaults to 5.
Returns:
dict: The search results from Tavily Search Engine. Fields:
headers (list): The headers of the columns in the search results. Contains "title", "link", "body".
data (list): The data in the search results. Each row contains the title, link, and body of the search result.
"""
tavily = TavilySearch(
tavily_api_key=api_key,
)
tavily.max_results = max_results
results = await tavily.ainvoke(query)
mapping = {
"title": "title",
"url": "link",
"content": "body",
}
results = await map_results(results["results"], mapping)
return results
class TavilyInterfaceWrapper(BaseInterfaceWrapper):
def __init__(self):
super().__init__(
fn=tavily_search,
inputs=[
gr.Textbox(label="Search Query"),
gr.Textbox(label="API Key", type="password"),
gr.Slider(
minimum=1, maximum=10, step=1, value=5, label="Number of Results"
),
],
title="Tavily Search",
description="Search the web using Tavily Search Engine.",
)
|