Create app.py
Browse files
app.py
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import os
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import gradio as gr
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from duckduckgo_search import DDGS
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def web_search(
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query: str,
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max_results: int = 5,
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region: str = "wt-wt",
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safesearch: str = "moderate",
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timelimit: str | None = None,
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):
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"""
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Search the web using DuckDuckGo and return the top results.
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Args:
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query: Search query string.
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max_results: Maximum number of results to return (1-25 recommended).
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region: DDG region (e.g. "wt-wt" global, "us-en", "ca-en", "uk-en").
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safesearch: "off", "moderate", or "strict".
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timelimit: Optional time filter: "d" (day), "w" (week), "m" (month), "y" (year), or None.
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Returns:
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A list of results, each with title, url, and snippet.
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"""
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q = (query or "").strip()
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if not q:
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return []
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max_results = int(max(1, min(max_results, 25)))
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results = []
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# DDGS returns dicts with keys like: title, href, body
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with DDGS() as ddgs:
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for r in ddgs.text(
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q,
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region=region,
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safesearch=safesearch,
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timelimit=timelimit,
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max_results=max_results,
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):
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results.append(
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{
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"title": r.get("title"),
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"url": r.get("href"),
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"snippet": r.get("body"),
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}
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)
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return results
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with gr.Blocks(title="Web Search (MCP-ready)") as demo:
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gr.Markdown(
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"""
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# Web Search (DuckDuckGo) — UI + MCP Tool
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- Use the UI below, or connect as an MCP server from your agent/editor.
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- The MCP endpoint appears in the Space footer → **View API** → **MCP**.
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"""
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)
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with gr.Row():
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query = gr.Textbox(label="Query", placeholder="e.g. gradio mcp server hugging face spaces")
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with gr.Row():
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max_results = gr.Slider(1, 25, value=5, step=1, label="Max results")
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region = gr.Dropdown(
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choices=["wt-wt", "us-en", "ca-en", "uk-en", "au-en", "de-de", "fr-fr", "es-es", "it-it"],
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value="wt-wt",
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label="Region",
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)
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safesearch = gr.Dropdown(choices=["off", "moderate", "strict"], value="moderate", label="SafeSearch")
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timelimit = gr.Dropdown(choices=[None, "d", "w", "m", "y"], value=None, label="Time limit")
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run_btn = gr.Button("Search")
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out = gr.JSON(label="Results (title/url/snippet)")
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run_btn.click(
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fn=web_search,
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inputs=[query, max_results, region, safesearch, timelimit],
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outputs=out,
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api_name="web_search", # nicer MCP tool name
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queue=False, # optional: reduces MCP progress overhead
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)
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if __name__ == "__main__":
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# Gradio will expose MCP endpoints when mcp_server=True
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demo.launch(mcp_server=True, server_name="0.0.0.0", server_port=int(os.getenv("PORT", "7860")))
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