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import json
import gradio as gr
import pandas as pd
from langchain_community.tools import BraveSearch
from utils.helpers import map_results
from .base import BaseInterfaceWrapper
async def brave_search(query: str, api_key: str, max_results: int = 5) -> pd.DataFrame:
"""
Given a search query, returns the search results from Brave.
Args:
query (str): The search query.
api_key (str): The API key for Brave Search.
max_results (int, optional): The number of maximum results to return. Defaults to 5.
Returns:
dict: The search results from Brave 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.
"""
brave = BraveSearch.from_api_key(
api_key=api_key,
search_kwargs={
"max_results": max_results,
},
)
results = await brave.arun(query)
results = json.loads(results)
mapping = {
"title": "title",
"link": "link",
"snippet": "body",
}
results = await map_results(results, mapping)
return results
class BraveInterfaceWrapper(BaseInterfaceWrapper):
def __init__(self):
super().__init__(
fn=brave_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="Brave Search",
description="Search the web using Brave Search Engine.",
)
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