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import gradio as gr
from search_engine import search
def format_search_results(results):
"""Format search results into a clean markdown output"""
if 'error' in results:
return f"❌ Error: {results['error']}"
output = []
# Add insights section
if 'insights' in results and results['insights']:
output.append("# 🔍 Latest Developments Summary\n")
output.append(results['insights'])
output.append("\n")
# Add key points section
if 'key_points' in results and results['key_points']:
output.append("# 💡 Key Points\n")
for point in results['key_points'][:5]: # Limit to top 5 points
output.append(f"• {point}\n")
output.append("\n")
# Add detailed results section
if 'results' in results and results['results']:
output.append("# 📄 Detailed Findings\n")
for i, result in enumerate(results['results'], 1):
output.append(f"## {i}. {result.get('title', 'No Title')}\n")
if 'url' in result:
output.append(f"🔗 [Source]({result['url']})\n")
if 'summary' in result:
output.append(f"\n{result['summary']}\n")
if 'key_points' in result and result['key_points']:
output.append("\nKey Takeaways:")
for point in result['key_points'][:3]: # Limit to top 3 points per result
output.append(f"• {point}")
output.append("\n")
# Add follow-up questions section
if 'follow_up_questions' in results and results['follow_up_questions']:
output.append("# ❓ Suggested Follow-up Questions\n")
for question in results['follow_up_questions']:
output.append(f"• {question}\n")
return "\n".join(output)
def search_and_format(query):
"""Search and format results"""
if not query.strip():
return "Please enter a search query"
try:
results = search(query)
return format_search_results(results)
except Exception as e:
return f"❌ Error performing search: {str(e)}"
# Create Gradio interface
iface = gr.Interface(
fn=search_and_format,
inputs=gr.Textbox(
label="Enter your search query",
placeholder="Example: Latest developments in quantum computing"
),
outputs=gr.Markdown(label="Search Results"),
title="AI-Powered Research Assistant",
description="""
This tool helps you research topics by:
1. Finding relevant information from multiple sources
2. Summarizing key findings
3. Extracting important points
4. Suggesting follow-up questions
Try searching for topics in technology, science, or any other field!
""",
examples=[
["Latest developments in quantum computing"],
["Artificial intelligence breakthroughs"],
["Climate change solutions"],
["Space exploration advancements"],
],
theme=gr.themes.Soft()
)
# Launch for Spaces
iface.launch()
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