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import gradio as gr |
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import pandas as pd |
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from langchain_community.tools import DuckDuckGoSearchResults |
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from utils.helpers import map_results |
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from .base import BaseInterfaceWrapper |
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async def duckduckgo_search(query: str, max_results: int = 5) -> pd.DataFrame: |
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""" |
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Given a search query, returns the search results from DuckDuckGo. |
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Args: |
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query (str): The search query. |
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max_results (int, optional): The number of maximum results to return. Defaults to 5. |
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Returns: |
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dict: The search results from DuckDuckGo Search Engine. Fields: |
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headers (list): The headers of the columns in the search results. Contains "title", "link", "body". |
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data (list): The data in the search results. Each row contains the title, link, and body of the search result. |
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""" |
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ddg = DuckDuckGoSearchResults( |
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output_format="list", |
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) |
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ddg.max_results = max_results |
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results = await ddg.ainvoke(query) |
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mapping = { |
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"title": "title", |
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"link": "link", |
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"snippet": "body", |
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} |
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results = await map_results(results, mapping) |
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return results |
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class DuckDuckGoInterfaceWrapper(BaseInterfaceWrapper): |
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def __init__(self): |
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super().__init__( |
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fn=duckduckgo_search, |
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inputs=[ |
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gr.Textbox(label="Search Query"), |
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gr.Slider( |
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minimum=1, maximum=10, step=1, value=5, label="Number of Results" |
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), |
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], |
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title="DuckDuckGo Search", |
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description="Search the web using DuckDuckGo Search Engine.", |
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) |
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