| 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.", | |
| ) | |