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import gradio as gr |
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import requests |
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import json |
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from typing import Optional, List |
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def tavily_search( |
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api_key: str, |
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query: str, |
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topic: str = "general", |
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search_depth: str = "basic", |
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chunks_per_source: int = 3, |
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max_results: int = 5, |
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time_range: Optional[str] = None, |
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days: int = 7, |
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include_answer: bool = True, |
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include_raw_content: str = "false", |
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include_images: bool = False, |
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include_image_descriptions: bool = False, |
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include_domains: str = "", |
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exclude_domains: str = "", |
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country: Optional[str] = None |
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): |
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""" |
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Perform a Tavily search with the given parameters. |
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""" |
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if not api_key.strip(): |
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return "❌ Error: Please provide a valid Tavily API key." |
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if not query.strip(): |
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return "❌ Error: Please provide a search query." |
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url = "https://api.tavily.com/search" |
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payload = { |
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"query": query, |
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"topic": topic, |
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"search_depth": search_depth, |
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"max_results": max_results, |
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"include_answer": include_answer, |
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"include_images": include_images, |
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"include_image_descriptions": include_image_descriptions, |
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} |
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if search_depth == "advanced": |
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payload["chunks_per_source"] = chunks_per_source |
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if time_range and time_range != "None": |
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payload["time_range"] = time_range |
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if topic == "news" and days > 0: |
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payload["days"] = days |
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if include_raw_content != "false": |
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if include_raw_content == "html": |
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payload["include_raw_content"] = True |
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else: |
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payload["include_raw_content"] = include_raw_content |
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if include_domains.strip(): |
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payload["include_domains"] = [domain.strip() for domain in include_domains.split(",")] |
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if exclude_domains.strip(): |
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payload["exclude_domains"] = [domain.strip() for domain in exclude_domains.split(",")] |
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if country and country != "None": |
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payload["country"] = country |
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headers = { |
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"Authorization": f"Bearer {api_key}", |
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"Content-Type": "application/json" |
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} |
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try: |
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response = requests.post(url, json=payload, headers=headers, timeout=30) |
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if response.status_code == 200: |
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result = response.json() |
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html_result = """ |
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<!DOCTYPE html> |
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<html> |
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<head> |
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<meta charset="UTF-8"> |
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<title>Tavily Search Results</title> |
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<style> |
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body { |
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font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; |
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line-height: 1.6; |
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color: #333; |
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max-width: 1200px; |
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margin: 0 auto; |
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padding: 20px; |
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background: #f8f9fa; |
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} |
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.container { |
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background: white; |
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border-radius: 12px; |
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padding: 30px; |
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box-shadow: 0 4px 6px rgba(0,0,0,0.1); |
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} |
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.header { |
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border-bottom: 3px solid #4CAF50; |
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padding-bottom: 20px; |
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margin-bottom: 30px; |
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} |
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.search-title { |
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color: #2c3e50; |
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font-size: 28px; |
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font-weight: 700; |
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margin: 0; |
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display: flex; |
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align-items: center; |
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gap: 10px; |
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} |
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.search-query { |
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color: #7f8c8d; |
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font-size: 16px; |
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margin-top: 8px; |
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font-style: italic; |
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} |
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.answer-section { |
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); |
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color: white; |
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padding: 25px; |
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border-radius: 10px; |
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margin-bottom: 30px; |
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box-shadow: 0 4px 15px rgba(102, 126, 234, 0.3); |
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} |
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.answer-title { |
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font-size: 20px; |
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font-weight: 600; |
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margin-bottom: 15px; |
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display: flex; |
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align-items: center; |
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gap: 8px; |
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} |
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.answer-content { |
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font-size: 16px; |
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line-height: 1.7; |
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} |
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.results-section { |
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margin-top: 30px; |
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} |
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.results-header { |
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font-size: 22px; |
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font-weight: 600; |
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color: #2c3e50; |
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margin-bottom: 20px; |
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display: flex; |
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align-items: center; |
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gap: 8px; |
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} |
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.result-item { |
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background: #fff; |
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border: 1px solid #e1e8ed; |
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border-radius: 8px; |
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padding: 20px; |
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margin-bottom: 20px; |
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transition: all 0.3s ease; |
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box-shadow: 0 2px 4px rgba(0,0,0,0.05); |
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} |
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.result-item:hover { |
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transform: translateY(-2px); |
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box-shadow: 0 8px 25px rgba(0,0,0,0.1); |
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border-color: #4CAF50; |
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} |
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.result-title { |
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font-size: 18px; |
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font-weight: 600; |
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color: #1a73e8; |
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margin-bottom: 8px; |
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text-decoration: none; |
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} |
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.result-title:hover { |
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text-decoration: underline; |
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} |
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.result-url { |
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color: #34a853; |
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font-size: 14px; |
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margin-bottom: 12px; |
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word-break: break-all; |
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} |
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.result-content { |
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color: #5f6368; |
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line-height: 1.6; |
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margin-bottom: 12px; |
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} |
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.result-score { |
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background: #e8f5e8; |
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color: #2d5a2d; |
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padding: 4px 12px; |
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border-radius: 20px; |
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font-size: 12px; |
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font-weight: 500; |
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display: inline-block; |
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} |
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.divider { |
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height: 1px; |
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background: linear-gradient(90deg, transparent, #ddd, transparent); |
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margin: 30px 0; |
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} |
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.metadata { |
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background: #f8f9fa; |
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border-radius: 8px; |
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padding: 20px; |
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margin-top: 30px; |
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border-left: 4px solid #4CAF50; |
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} |
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.metadata-title { |
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font-weight: 600; |
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color: #2c3e50; |
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margin-bottom: 10px; |
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} |
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.json-container { |
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background: #2d3748; |
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color: #e2e8f0; |
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padding: 20px; |
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border-radius: 8px; |
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overflow-x: auto; |
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font-family: 'Monaco', 'Consolas', monospace; |
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font-size: 12px; |
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line-height: 1.5; |
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max-height: 400px; |
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overflow-y: auto; |
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} |
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.image-section { |
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margin-top: 20px; |
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} |
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.image-grid { |
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display: grid; |
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grid-template-columns: repeat(auto-fill, minmax(200px, 1fr)); |
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gap: 15px; |
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margin-top: 15px; |
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} |
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.image-item { |
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border-radius: 8px; |
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overflow: hidden; |
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box-shadow: 0 2px 8px rgba(0,0,0,0.1); |
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} |
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.image-item img { |
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width: 100%; |
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height: 150px; |
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object-fit: cover; |
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} |
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.image-description { |
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padding: 10px; |
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background: white; |
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font-size: 12px; |
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color: #666; |
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} |
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</style> |
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</head> |
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<body> |
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<div class="container"> |
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<div class="header"> |
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<h1 class="search-title">🔍 Tavily Search Results</h1> |
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<div class="search-query">Query: "{}"</div> |
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</div> |
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""".format(query.replace('"', '"')) |
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if "answer" in result and result["answer"]: |
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html_result += f""" |
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<div class="answer-section"> |
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<div class="answer-title">📋 AI Generated Answer</div> |
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<div class="answer-content">{result['answer']}</div> |
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</div> |
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""" |
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if "results" in result and result["results"]: |
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html_result += f""" |
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<div class="results-section"> |
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<div class="results-header">📊 Found {len(result['results'])} Results</div> |
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""" |
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for i, item in enumerate(result["results"], 1): |
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title = item.get('title', 'No Title').replace('<', '<').replace('>', '>') |
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url = item.get('url', 'No URL') |
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content = item.get('content', 'No content available')[:800] + '...' |
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content = content.replace('<', '<').replace('>', '>') |
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score = item.get('score', 0) |
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html_result += f""" |
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<div class="result-item"> |
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<a href="{url}" target="_blank" class="result-title">{i}. {title}</a> |
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<div class="result-url">{url}</div> |
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<div class="result-content">{content}</div> |
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{f'<span class="result-score">⭐ Score: {score:.3f}</span>' if score else ''} |
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</div> |
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""" |
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html_result += "</div>" |
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if "images" in result and result.get("images"): |
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html_result += """ |
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<div class="image-section"> |
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<div class="results-header">🖼️ Related Images</div> |
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<div class="image-grid"> |
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""" |
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for img in result["images"][:6]: |
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img_url = img.get('url', '') |
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img_title = img.get('title', 'Image').replace('<', '<').replace('>', '>') |
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html_result += f""" |
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<div class="image-item"> |
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<img src="{img_url}" alt="{img_title}" loading="lazy"> |
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<div class="image-description">{img_title}</div> |
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</div> |
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""" |
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html_result += "</div></div>" |
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html_result += f""" |
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<div class="divider"></div> |
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<div class="metadata"> |
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<div class="metadata-title">🔧 Response Metadata</div> |
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<div><strong>Results Count:</strong> {len(result.get('results', []))}</div> |
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<div><strong>Query:</strong> {query}</div> |
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<div><strong>Search Depth:</strong> {search_depth}</div> |
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<div><strong>Topic:</strong> {topic}</div> |
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</div> |
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<div class="metadata"> |
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<div class="metadata-title">📄 Raw JSON Response</div> |
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<div class="json-container">{json.dumps(result, indent=2).replace('<', '<').replace('>', '>')}</div> |
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</div> |
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</div> |
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</body> |
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</html> |
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""" |
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return html_result |
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else: |
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return f"❌ Error: HTTP {response.status_code}\n{response.text}" |
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except requests.exceptions.Timeout: |
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return "❌ Error: Request timed out. Please try again." |
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except requests.exceptions.RequestException as e: |
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return f"❌ Error: {str(e)}" |
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except Exception as e: |
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return f"❌ Unexpected error: {str(e)}" |
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country_options = [ |
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"None", "afghanistan", "albania", "algeria", "andorra", "angola", "argentina", |
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"armenia", "australia", "austria", "azerbaijan", "bahamas", "bahrain", "bangladesh", |
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"barbados", "belarus", "belgium", "belize", "benin", "bhutan", "bolivia", |
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"bosnia and herzegovina", "botswana", "brazil", "brunei", "bulgaria", "burkina faso", |
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"burundi", "cambodia", "cameroon", "canada", "cape verde", "central african republic", |
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"chad", "chile", "china", "colombia", "comoros", "congo", "costa rica", "croatia", |
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"cuba", "cyprus", "czech republic", "denmark", "djibouti", "dominican republic", |
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"ecuador", "egypt", "el salvador", "equatorial guinea", "eritrea", "estonia", |
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"ethiopia", "fiji", "finland", "france", "gabon", "gambia", "georgia", "germany", |
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"ghana", "greece", "guatemala", "guinea", "haiti", "honduras", "hungary", "iceland", |
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"india", "indonesia", "iran", "iraq", "ireland", "israel", "italy", "jamaica", |
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"japan", "jordan", "kazakhstan", "kenya", "kuwait", "kyrgyzstan", "latvia", "lebanon", |
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"lesotho", "liberia", "libya", "liechtenstein", "lithuania", "luxembourg", "madagascar", |
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"malawi", "malaysia", "maldives", "mali", "malta", "mauritania", "mauritius", "mexico", |
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"moldova", "monaco", "mongolia", "montenegro", "morocco", "mozambique", "myanmar", |
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"namibia", "nepal", "netherlands", "new zealand", "nicaragua", "niger", "nigeria", |
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"north korea", "north macedonia", "norway", "oman", "pakistan", "panama", |
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"papua new guinea", "paraguay", "peru", "philippines", "poland", "portugal", "qatar", |
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"romania", "russia", "rwanda", "saudi arabia", "senegal", "serbia", "singapore", |
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"slovakia", "slovenia", "somalia", "south africa", "south korea", "south sudan", |
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"spain", "sri lanka", "sudan", "sweden", "switzerland", "syria", "taiwan", |
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"tajikistan", "tanzania", "thailand", "togo", "trinidad and tobago", "tunisia", |
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"turkey", "turkmenistan", "uganda", "ukraine", "united arab emirates", |
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"united kingdom", "united states", "uruguay", "uzbekistan", "venezuela", "vietnam", |
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"yemen", "zambia", "zimbabwe" |
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] |
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with gr.Blocks(title="Tavily Search API", theme=gr.themes.Soft()) as app: |
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gr.Markdown("# 🔍 Tavily Search API Interface") |
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gr.Markdown("Search the web using Tavily's powerful search API with customizable parameters.") |
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with gr.Accordion("📖 API Documentation & Parameter Options", open=False): |
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gr.Markdown(""" |
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## Available Options |
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### **topic**: The category of the search |
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- **news**: Useful for retrieving real-time updates, particularly about politics, sports, and major current events covered by mainstream media sources |
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- **general**: For broader, more general-purpose searches that may include a wide range of sources |
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**Available options**: `general`, `news` |
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### **search_depth**: The depth of the search |
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- **advanced**: Tailored to retrieve the most relevant sources and content snippets for your query (costs 2 API Credits) |
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- **basic**: Provides generic content snippets from each source (costs 1 API Credit) |
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**Available options**: `basic`, `advanced` |
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### **chunks_per_source**: Content snippets control |
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Chunks are short content snippets (maximum 500 characters each) pulled directly from the source. Use this to define the maximum number of relevant chunks returned per source and to control the content length. Chunks will appear in the content field as: `<chunk 1> [...] <chunk 2> [...] <chunk 3>`. |
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**Note**: Available only when `search_depth` is `advanced` |
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**Required range**: 1 ≤ x ≤ 3 |
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### **max_results**: Maximum number of search results |
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The maximum number of search results to return. |
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**Required range**: 0 ≤ x ≤ 20 |
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### **time_range**: Time filtering |
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The time range back from the current date to filter results. Useful when looking for sources that have published data. |
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**Available options**: `day`, `week`, `month`, `year`, `d`, `w`, `m`, `y` |
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### **days**: Days back for news searches |
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Number of days back from the current date to include. Available only if topic is `news`. |
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**Required range**: x ≥ 1 |
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|
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### **include_answer**: LLM-generated answer |
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Include an LLM-generated answer to the provided query. |
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- `basic` or `true`: Returns a quick answer |
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- `advanced`: Returns a more detailed answer |
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### **include_raw_content**: Raw HTML content |
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Include the cleaned and parsed HTML content of each search result. |
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- `markdown` or `true`: Returns search result content in markdown format |
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- `text`: Returns the plain text from the results (may increase latency) |
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### **include_images**: Image search |
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Also perform an image search and include the results in the response. |
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### **include_image_descriptions**: Image descriptions |
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When `include_images` is true, also add a descriptive text for each image. |
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|
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### **include_domains**: Domain inclusion |
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A list of domains to specifically include in the search results. |
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### **exclude_domains**: Domain exclusion |
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A list of domains to specifically exclude from the search results. |
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### **country**: Country-specific boosting |
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Boost search results from a specific country. This will prioritize content from the selected country in the search results. Available only if topic is `general`. |
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**Available countries**: afghanistan, albania, algeria, andorra, angola, argentina, armenia, australia, austria, azerbaijan, bahamas, bahrain, bangladesh, barbados, belarus, belgium, belize, benin, bhutan, bolivia, bosnia and herzegovina, botswana, brazil, brunei, bulgaria, burkina faso, burundi, cambodia, cameroon, canada, cape verde, central african republic, chad, chile, china, colombia, comoros, congo, costa rica, croatia, cuba, cyprus, czech republic, denmark, djibouti, dominican republic, ecuador, egypt, el salvador, equatorial guinea, eritrea, estonia, ethiopia, fiji, finland, france, gabon, gambia, georgia, germany, ghana, greece, guatemala, guinea, haiti, honduras, hungary, iceland, india, indonesia, iran, iraq, ireland, israel, italy, jamaica, japan, jordan, kazakhstan, kenya, kuwait, kyrgyzstan, latvia, lebanon, lesotho, liberia, libya, liechtenstein, lithuania, luxembourg, madagascar, malawi, malaysia, maldives, mali, malta, mauritania, mauritius, mexico, moldova, monaco, mongolia, montenegro, morocco, mozambique, myanmar, namibia, nepal, netherlands, new zealand, nicaragua, niger, nigeria, north korea, north macedonia, norway, oman, pakistan, panama, papua new guinea, paraguay, peru, philippines, poland, portugal, qatar, romania, russia, rwanda, saudi arabia, senegal, serbia, singapore, slovakia, slovenia, somalia, south africa, south korea, south sudan, spain, sri lanka, sudan, sweden, switzerland, syria, taiwan, tajikistan, tanzania, thailand, togo, trinidad and tobago, tunisia, turkey, turkmenistan, uganda, ukraine, united arab emirates, united kingdom, united states, uruguay, uzbekistan, venezuela, vietnam, yemen, zambia, zimbabwe |
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""") |
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with gr.Row(): |
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with gr.Column(scale=1): |
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|
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gr.Markdown("## 🔑 API Configuration") |
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api_key = gr.Textbox( |
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label="Tavily API Key", |
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placeholder="Enter your Tavily API key here...", |
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type="password", |
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info="Your API key will be used to authenticate requests to Tavily." |
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) |
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gr.Markdown("## 🎯 Search Parameters") |
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query = gr.Textbox( |
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label="Search Query", |
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placeholder="e.g., 'who is Leo Messi?'", |
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info="The search query you want to execute." |
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) |
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with gr.Row(): |
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topic = gr.Dropdown( |
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choices=["general", "news"], |
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value="general", |
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label="Topic", |
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info="general: broad searches, news: real-time updates" |
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) |
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search_depth = gr.Dropdown( |
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choices=["basic", "advanced"], |
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value="basic", |
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label="Search Depth", |
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info="basic: 1 credit, advanced: 2 credits" |
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) |
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with gr.Row(): |
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max_results = gr.Slider( |
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minimum=1, |
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maximum=20, |
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value=5, |
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step=1, |
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label="Max Results", |
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info="Maximum number of search results to return" |
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) |
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chunks_per_source = gr.Slider( |
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minimum=1, |
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maximum=3, |
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value=3, |
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step=1, |
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label="Chunks per Source", |
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info="Only applies to advanced search" |
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) |
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gr.Markdown("## ⚙️ Advanced Options") |
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with gr.Row(): |
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time_range = gr.Dropdown( |
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choices=["None", "day", "week", "month", "year"], |
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value="None", |
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label="Time Range", |
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info="Filter results by time period" |
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) |
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days = gr.Number( |
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value=7, |
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minimum=1, |
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label="Days (News only)", |
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info="Number of days back for news searches" |
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) |
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with gr.Row(): |
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include_answer = gr.Checkbox( |
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value=True, |
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label="Include Answer", |
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info="Include LLM-generated answer" |
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) |
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include_images = gr.Checkbox( |
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value=False, |
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label="Include Images", |
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info="Perform image search" |
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) |
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include_image_descriptions = gr.Checkbox( |
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value=False, |
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label="Include Image Descriptions", |
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info="Add descriptions for images" |
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) |
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include_raw_content = gr.Dropdown( |
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choices=["false", "html", "markdown", "text"], |
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value="html", |
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label="Include Raw Content", |
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info="HTML: Clean styled format, Markdown: MD format, Text: Plain text" |
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) |
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with gr.Row(): |
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include_domains = gr.Textbox( |
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label="Include Domains", |
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placeholder="example.com, another.com", |
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info="Comma-separated list of domains to include" |
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) |
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exclude_domains = gr.Textbox( |
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label="Exclude Domains", |
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placeholder="example.com, another.com", |
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info="Comma-separated list of domains to exclude" |
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) |
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country = gr.Dropdown( |
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choices=country_options, |
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value="None", |
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label="Country", |
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info="Boost results from specific country (general topic only)" |
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) |
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search_btn = gr.Button("🔍 Search", variant="primary", size="lg") |
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with gr.Column(scale=2): |
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gr.Markdown("## 📊 Search Results") |
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results = gr.HTML( |
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label="Results", |
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show_label=False, |
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elem_id="search_results" |
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) |
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gr.Markdown("## 💡 Comprehensive Test Examples") |
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gr.Examples( |
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[ |
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[ |
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"Who is Leo Messi?", |
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"general", |
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"basic", |
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3, |
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5, |
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"None", |
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7, |
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True, |
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"html", |
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False, |
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False, |
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"", |
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"", |
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"None" |
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], |
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[ |
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"Latest artificial intelligence breakthroughs", |
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"news", |
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"advanced", |
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3, |
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3, |
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"week", |
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3, |
|
|
True, |
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"html", |
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False, |
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False, |
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"", |
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"", |
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"None" |
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], |
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|
|
|
[ |
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"Python machine learning tutorials", |
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"general", |
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"advanced", |
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2, |
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|
8, |
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"None", |
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|
7, |
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|
True, |
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"html", |
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False, |
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False, |
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|
"github.com, stackoverflow.com, medium.com", |
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"", |
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"None" |
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], |
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|
|
|
[ |
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"Climate change policy updates", |
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"news", |
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"basic", |
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3, |
|
|
4, |
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"month", |
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14, |
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|
True, |
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"html", |
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False, |
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False, |
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"", |
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|
"facebook.com, twitter.com, reddit.com", |
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|
"None" |
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|
], |
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|
|
|
[ |
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"Best restaurants and food culture", |
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"general", |
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"basic", |
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3, |
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6, |
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"None", |
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|
7, |
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True, |
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"false", |
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True, |
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|
True, |
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|
"", |
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"", |
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"france" |
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], |
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|
|
[ |
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|
"iPhone 15 features and specs", |
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"general", |
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"advanced", |
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3, |
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5, |
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"None", |
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7, |
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True, |
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"html", |
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True, |
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True, |
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"apple.com, techcrunch.com, theverge.com", |
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"", |
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"united states" |
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|
], |
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|
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|
[ |
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"FIFA World Cup 2024 results", |
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"news", |
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|
"advanced", |
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3, |
|
|
7, |
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|
"day", |
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1, |
|
|
True, |
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|
"html", |
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|
False, |
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|
False, |
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|
"fifa.com, espn.com, bbc.com", |
|
|
"", |
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|
"None" |
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|
], |
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|
|
|
[ |
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|
"quantum computing research papers 2024", |
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|
"general", |
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|
"advanced", |
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|
3, |
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|
10, |
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|
"year", |
|
|
7, |
|
|
True, |
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|
"html", |
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|
False, |
|
|
False, |
|
|
"arxiv.org, nature.com, science.org", |
|
|
"wikipedia.org", |
|
|
"None" |
|
|
], |
|
|
|
|
|
[ |
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|
"Tesla stock price analysis", |
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|
"news", |
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|
"basic", |
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|
3, |
|
|
5, |
|
|
"week", |
|
|
7, |
|
|
True, |
|
|
"false", |
|
|
False, |
|
|
False, |
|
|
"yahoo.com, bloomberg.com, marketwatch.com", |
|
|
"", |
|
|
"None" |
|
|
], |
|
|
|
|
|
[ |
|
|
"COVID-19 vaccine effectiveness studies", |
|
|
"general", |
|
|
"advanced", |
|
|
3, |
|
|
8, |
|
|
"month", |
|
|
7, |
|
|
True, |
|
|
"text", |
|
|
False, |
|
|
False, |
|
|
"who.int, cdc.gov, pubmed.ncbi.nlm.nih.gov", |
|
|
"facebook.com, instagram.com", |
|
|
"None" |
|
|
] |
|
|
], |
|
|
inputs=[ |
|
|
query, topic, search_depth, chunks_per_source, max_results, |
|
|
time_range, days, include_answer, include_raw_content, include_images, |
|
|
include_image_descriptions, include_domains, exclude_domains, country |
|
|
], |
|
|
label="🚀 Click on any example to load complete test configurations" |
|
|
) |
|
|
|
|
|
|
|
|
search_btn.click( |
|
|
fn=tavily_search, |
|
|
inputs=[ |
|
|
api_key, query, topic, search_depth, chunks_per_source, max_results, |
|
|
time_range, days, include_answer, include_raw_content, include_images, |
|
|
include_image_descriptions, include_domains, exclude_domains, country |
|
|
], |
|
|
outputs=results |
|
|
) |
|
|
|
|
|
|
|
|
gr.Markdown("---") |
|
|
gr.Markdown("🔗 **Get your Tavily API key at:** [tavily.com](https://tavily.com)") |
|
|
|
|
|
|
|
|
if __name__ == "__main__": |
|
|
app.launch( |
|
|
share=True |
|
|
) |
