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import gradio as gr
from rag_engine import RAGEngine
import torch
import os
import logging
import traceback
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
def safe_search(query, max_results):
"""Wrapper function to handle errors gracefully"""
try:
rag = RAGEngine()
results = rag.search_and_process(query, max_results)
if 'error' in results:
return f"# ❌ Error\nSorry, an error occurred while processing your search:\n```\n{results['error']}\n```"
return format_results(results)
except Exception as e:
error_msg = f"An error occurred: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
logger.error(error_msg)
return f"# ❌ Error\nSorry, an error occurred while processing your search:\n```\n{str(e)}\n```"
def format_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:
insights = results['insights']
output.append("# 🎯 Key Insights\n")
if 'summary' in insights:
output.append(insights['summary'])
output.append("\n")
if 'key_points' in insights and len(insights['key_points']) > 5:
output.append("\n## 📌 Additional Points\n")
for point in insights['key_points'][5:]:
output.append(f"• {point}")
output.append("\n")
# Add sources section
if 'insights' in results and 'sources' in results['insights']:
output.append("\n# 📚 Sources\n")
for idx, source in enumerate(results['insights']['sources'], 1):
output.append(f"\n## {idx}. {source['title']}\n")
if 'url' in source:
output.append(f"🔗 [View Source]({source['url']})\n")
if 'summary' in source:
output.append(f"\n{source['summary']}\n")
# Add follow-up questions
if 'follow_up_questions' in results:
output.append("\n# ❓ Suggested Questions\n")
for question in results['follow_up_questions']:
output.append(f"• {question}\n")
return "\n".join(output)
def create_demo():
"""Create the Gradio interface"""
with gr.Blocks(title="Web Search + RAG") as demo:
gr.Markdown("# 🔍 Intelligent Web Search")
gr.Markdown("Search the web with AI-powered insights and analysis.")
with gr.Row():
with gr.Column():
query = gr.Textbox(
label="Search Query",
placeholder="Enter your search query...",
lines=2
)
max_results = gr.Slider(
minimum=1,
maximum=10,
value=5,
step=1,
label="Number of Results"
)
search_button = gr.Button("🔍 Search")
output = gr.Markdown(
label="Search Results",
show_label=True
)
search_button.click(
fn=safe_search,
inputs=[query, max_results],
outputs=output
)
gr.Examples(
examples=[
["What is RAG in AI?", 5],
["Latest developments in quantum computing", 3],
["How does BERT work?", 5]
],
inputs=[query, max_results]
)
return demo
# Create the demo
demo = create_demo()
# Launch for Spaces
demo.launch()
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