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import gradio as gr
import requests
import numpy as np
import os
from pathlib import Path
from PIL import Image
from dotenv import load_dotenv
load_dotenv()
# YouTube Tool
API_URL = "https://youtube138.p.rapidapi.com/search/"
HEADERS = {
"x-rapidapi-key": os.getenv("Rapidapi"),
"x-rapidapi-host": "youtube138.p.rapidapi.com"
}
def search_youtube(query: str) -> str:
params = {"q": query, "hl": "en", "gl": "US"}
try:
response = requests.get(API_URL, headers=HEADERS, params=params)
response.raise_for_status()
data = response.json()
videos = data.get("contents", [])
results = []
for video in videos:
if "video" in video:
v = video["video"]
title = v.get("title", "")
video_id = v.get("videoId", "")
link = f"https://www.youtube.com/watch?v={video_id}"
results.append(f"{title}\n{link}\n")
if len(results) >= 5:
break
return "\n".join(results) if results else "No videos found."
except Exception as e:
return f"Error: {str(e)}"
# Other Tools
def prime_factors(n):
n = int(n)
if n <= 1:
raise ValueError("Input must be an integer greater than 1.")
factors = []
while n % 2 == 0:
factors.append(2)
n //= 2
divisor = 3
while divisor * divisor <= n:
while n % divisor == 0:
factors.append(divisor)
n //= divisor
divisor += 2
if n > 1:
factors.append(n)
return factors
# Tabbed Tool Interface
demo = gr.TabbedInterface(
[
gr.Interface(search_youtube, gr.Textbox(label="YouTube Query"), gr.Textbox(label="Top 5 Results"), api_name="youtube_search"),
gr.Interface(prime_factors, gr.Textbox(), gr.Textbox(), api_name="prime_factors"),
],
[
"YouTube Search",
"Prime Factors",
]
)
if __name__ == "__main__":
demo.launch(mcp_server=True)
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