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