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Browse files- app.py +162 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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from requests import get
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import requests
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import os
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base_url = os.getenv("base_url", "http://localhost:8001")
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API_KEY = os.getenv("API_KEY")
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headers = {
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"X-API-Key": API_KEY
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}
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def search_endpoint(
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q: str,
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num: int = 5,
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start: int = 1,
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site: str = None,
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date_restrict: str = None
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) -> dict:
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"""
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Search the internet as if it were Google.
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Args:
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q: Search query
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num: Number of results to return (default 5) [5 is the maximum]
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start: Starting index for results (default 1)
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site: Restrict search to specific site (optional)
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date_restrict: Date restriction (e.g., 'd1', 'w1', 'm1') (optional)
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Returns:
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Search results as a dictionary
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"""
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params = {
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"q": q,
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"num": num,
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"start": start,
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"site": site,
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"date_restrict": date_restrict
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}
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try:
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response = get(f"{base_url}/search", params=params, headers=headers)
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response.raise_for_status()
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return response.json()
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except Exception as e:
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return {"error": str(e), "query": q, "results": [], "count": 0}
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def search_news_endpoint(
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q: str,
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num: int = 10,
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) -> dict:
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"""
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Search news articles, similar to Google News.
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Args:
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q: Search query
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num: Number of results to return (default 10)
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Returns:
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News search results as a dictionary
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"""
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params = {
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"q": q,
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"num": num,
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}
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try:
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response = get(f"{base_url}/search/news", params=params, headers=headers)
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response.raise_for_status()
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return response.json()
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except Exception as e:
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return {"error": str(e), "query": q, "results": [], "count": 0}
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def scrape_endpoint(url: str) -> dict:
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"""
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Scrape the content of a given URL, and return it as a nice markdown formatted dictionary.
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Args:
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url: The URL to scrape
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Returns:
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Scraped markdown as a dictionary
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"""
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try:
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response = get(f"{base_url}/scrape", params={"url": url}, headers=headers)
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response.raise_for_status()
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return response.json()
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except Exception as e:
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return {"error": str(e), "url": url, "content": ""}
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with gr.Blocks(title="Uplink") as demo:
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gr.Markdown(
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"""
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# ๐ Uplink
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**A unified search interface for the web and news.**
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"""
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)
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with gr.Tab("General Web Search"):
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with gr.Row():
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with gr.Column():
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query = gr.Textbox(label="Search Query", placeholder="Type your search here...")
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num_results = gr.Slider(minimum=1, maximum=5, value=5, label="Number of Results")
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start = gr.Slider(minimum=1, maximum=100, value=1, label="Starting Index")
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site = gr.Textbox(label="Restrict to Site (optional)", placeholder="e.g. wikipedia.org")
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date_restrict = gr.Dropdown(
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choices=[None, "d1", "w1", "m1"],
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value=None,
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label="Date Restriction (optional)",
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info="d1 = past day, w1 = past week, m1 = past month"
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)
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search_btn = gr.Button("๐ Search")
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with gr.Column():
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output = gr.JSON(label="Results")
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search_btn.click(
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fn=search_endpoint,
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inputs=[query, num_results, start, site, date_restrict],
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outputs=output
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)
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with gr.Tab("Web Scrape"):
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with gr.Row():
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with gr.Column():
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scrape_url = gr.Textbox(label="URL to Scrape", placeholder="https://example.com")
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scrape_btn = gr.Button("๐ Scrape")
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with gr.Column():
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scrape_output = gr.JSON(label="Scraped Content")
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scrape_btn.click(
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fn=scrape_endpoint,
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inputs=[scrape_url],
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outputs=scrape_output
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)
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with gr.Tab("News Search"):
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with gr.Row():
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with gr.Column():
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news_query = gr.Textbox(label="News Search Query", placeholder="Type your news topic...")
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news_num_results = gr.Slider(minimum=1, maximum=10, value=5, label="Number of Results")
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news_search_btn = gr.Button("๐ฐ Search News")
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with gr.Column():
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news_output = gr.JSON(label="News Results")
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news_search_btn.click(
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fn=search_news_endpoint,
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inputs=[news_query, news_num_results],
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outputs=news_output
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)
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gr.Markdown(
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"""
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---
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<div align="center">
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<sub>Powered by Uplink · Built with FastAPI + Gradio</sub>
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</div>
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"""
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)
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if __name__ == "__main__":
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demo.launch(mcp_server=True)
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requirements.txt
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
gradio[mcp]
|
| 2 |
+
gradio
|
| 3 |
+
requests
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