Deep_Reaserch_ / deep_research.py
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import gradio as gr
from dotenv import load_dotenv
from research_manager import ResearchManager
load_dotenv(override=True)
async def do_research(query: str, clarification_questions: str, clarification_answers: str):
research_input = f"Original Query: {query}\n\nClarification Questions: {clarification_questions}\n\nClarification Answers: {clarification_answers}"
async for chunk in ResearchManager().conduct_research(research_input):
yield chunk
async def ask_clarification_questions(query: str):
return await ResearchManager().generate_clarification_questions(query)
with gr.Blocks(theme=gr.themes.Default(primary_hue="sky")) as ui:
gr.Markdown("# Deep Research")
query_textbox = gr.Textbox(label="What topic would you like to research?")
clarify_button = gr.Button("Generate Clarification Questions", variant="primary")
gr.Markdown("# Clarification Questions")
clarification_questions = gr.Markdown(label="Clarification Questions")
query_textbox.submit(fn=ask_clarification_questions, inputs=query_textbox, outputs=clarification_questions)
clarify_button.click(fn=ask_clarification_questions, inputs=query_textbox, outputs=clarification_questions)
clarification_answers_textbox = gr.Textbox(label="Answer the clarification questions...")
do_research_button = gr.Button("Do Research", variant="primary")
gr.Markdown("# Report")
report = gr.Markdown(label="Report")
do_research_button.click(fn=do_research, inputs=[query_textbox, clarification_questions, clarification_answers_textbox], outputs=report)
clarification_answers_textbox.submit(fn=do_research, inputs=[query_textbox, clarification_questions, clarification_answers_textbox], outputs=report)
ui.launch(inbrowser=True)