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import gradio as gr
from research_agent import research
import os
from dotenv import load_dotenv
import re
# Load environment variables
load_dotenv()
def format_as_markdown(raw: str) -> str:
# 1. Remove <think>...</think> and everything inside
raw = re.sub(r"<think>.*?</think>", "", raw, flags=re.DOTALL)
# 2. Replace section headers with markdown equivalents
replacements = {
"[EXECUTIVE_SUMMARY]": "## Executive Summary",
"[MAIN_FINDINGS]": "## Main Findings",
"[ANALYSIS]": "## Analysis",
"[CONCLUSION]": "## Conclusion",
"[SOURCES]": "## Sources",
}
for tag, header in replacements.items():
raw = raw.replace(tag, f"\n\n{header}\n\n")
# 3. Optional: clean up extra whitespace
raw = re.sub(r"\n{3,}", "\n\n", raw).strip()
return raw
def process_query(query: str) -> str:
"""Process the user query and return research results."""
if not query.strip():
return "Please enter a valid query."
try:
result = research(query)
# print("returning result", result)
result = format_as_markdown(result)
return result
except Exception as e:
return f"Error occurred: {str(e)}"
# Create Gradio interface
demo = gr.Interface(
fn=process_query,
inputs=gr.Textbox(
lines=3,
placeholder="Enter your research query here...",
label="Research Query"
),
outputs=gr.Markdown(
label="Research Results"
),
title="Deep Research Assistant",
description="Enter any query and get a comprehensive research report based on the latest information.",
examples=[
["What are the latest developments in quantum computing?"],
["Explain the current state of climate change and its impacts"],
["What are the emerging trends in artificial intelligence?"]
],
theme=gr.themes.Soft()
).launch(mcp_server=True)
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