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Update app.py
Browse files
app.py
CHANGED
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@@ -9,13 +9,12 @@ from research_agent.agent import get_clarifying_questions, research_and_plan, wr
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# --- CSS for a professional chatbot look ---
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CSS = """
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body, .gradio-container { font-family: 'Inter', sans-serif; }
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.gradio-container { max-width: 800px !important; margin: auto !important; padding-top: 20px !important;}
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h1 { text-align: center; font-weight: 700; font-size: 2.5em; color: #1E293B; }
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.sub-header { text-align: center; color: #475569; margin-bottom: 20px; font-size: 1.1em; }
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.accordion { border: none !important; box-shadow: 0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px -1px rgba(0, 0, 0, 0.1) !important; }
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#chatbot { box-shadow: 0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px -1px rgba(0, 0, 0, 0.1) !important; }
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.message-bubble-container > .message-bubble { box-shadow: 0 1px 3px 0 rgba(0, 0, 0, 0.05) !important; }
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.message-bubble.user { background: #2563EB !important; color: white; }
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.message-bubble.bot { background: #FFFFFF !important; color: #334155; border: 1px solid #E2E8F0; }
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footer { display: none !important; }
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@@ -54,30 +53,24 @@ with gr.Blocks(css=CSS, theme=gr.themes.Soft(primary_hue="blue", secondary_hue="
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initialization_status = gr.Markdown(visible=False)
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chatbot = gr.Chatbot(
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[],
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elem_id="chatbot",
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label="Research Agent",
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bubble_full_width=False,
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height=500,
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visible=False,
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)
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chat_history_state = gr.State([])
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# Agent state can be: "INITIAL", "CLARIFYING", "GENERATING"
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agent_state = gr.State("INITIAL")
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initial_topic_state = gr.State("")
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def handle_initialization(google_key, tavily_key):
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init_status = initialize_models(google_key, tavily_key)
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return {
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initialization_status: gr.update(value=f"**Status:** {init_status}", visible=True),
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chatbot: gr.update(visible=True, value=
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chat_history_state: [initial_message],
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chat_input: gr.update(interactive=True, visible=True),
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settings_accordion: gr.update(open=False)
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}
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@@ -86,25 +79,19 @@ with gr.Blocks(css=CSS, theme=gr.themes.Soft(primary_hue="blue", secondary_hue="
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history.append({"role": "user", "content": user_input})
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if current_agent_state == "INITIAL":
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# 1. User provides the initial topic
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new_agent_state = "CLARIFYING"
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new_topic_state = user_input
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history.append({"role": "assistant", "content": "Thinking..."})
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yield history,
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questions = get_clarifying_questions(planner_model, user_input)
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history[-1] = {"role": "assistant", "content": "I can do that. To give you the best report, could you answer these questions for me?\n\n" + questions}
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yield history,
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elif current_agent_state == "CLARIFYING":
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# 2. User provides answers to clarifying questions
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new_agent_state = "GENERATING"
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new_topic_state = topic_state
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history.append({"role": "assistant", "content": "Generating full report..."})
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yield history,
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try:
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plan = research_and_plan(config, planner_model, tavily_client,
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report_generator = write_report_stream(config, writer_model, tavily_client, embedding_model, reranker, plan)
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status_updates = ""
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@@ -113,34 +100,26 @@ with gr.Blocks(css=CSS, theme=gr.themes.Soft(primary_hue="blue", secondary_hue="
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final_report_md = update if "Report Generation Complete" not in update else final_report_md
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status_updates += update
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history[-1] = {"role": "assistant", "content": status_updates}
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yield history,
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history.append({"role": "assistant", "content": final_report_md})
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new_topic_state = ""
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yield history, history, new_agent_state, new_topic_state, gr.update(interactive=True)
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except Exception as e:
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error_message = f"An error occurred: {str(e)}"
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history.append({"role": "assistant", "content": error_message})
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new_topic_state = ""
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yield history, history, new_agent_state, new_topic_state, gr.update(interactive=True)
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# Manually render components to control order
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chatbot.render()
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chat_input.render()
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init_button.click(
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fn=handle_initialization,
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inputs=[google_api_key_input, tavily_api_key_input],
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outputs=[initialization_status, chatbot,
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)
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chat_input.submit(
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fn=chat_step,
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inputs=[chat_input,
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outputs=[chatbot,
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).then(
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lambda: "", None, chat_input, queue=False
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)
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# --- CSS for a professional chatbot look ---
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CSS = """
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body, .gradio-container { font-family: 'Inter', sans-serif; background-color: #F1F5F9; }
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.gradio-container { max-width: 800px !important; margin: auto !important; padding-top: 20px !important;}
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h1 { text-align: center; font-weight: 700; font-size: 2.5em; color: #1E293B; }
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.sub-header { text-align: center; color: #475569; margin-bottom: 20px; font-size: 1.1em; }
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.accordion { border: none !important; box-shadow: 0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px -1px rgba(0, 0, 0, 0.1) !important; }
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#chatbot { box-shadow: 0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px -1px rgba(0, 0, 0, 0.1) !important; min-height: 450px; }
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.message-bubble.user { background: #2563EB !important; color: white; }
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.message-bubble.bot { background: #FFFFFF !important; color: #334155; border: 1px solid #E2E8F0; }
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footer { display: none !important; }
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initialization_status = gr.Markdown(visible=False)
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chatbot = gr.Chatbot(
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elem_id="chatbot",
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bubble_full_width=False,
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height=500,
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visible=False,
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type="messages" # Use the modern 'messages' format
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)
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chat_input = gr.Textbox(placeholder="Enter your research topic...", interactive=False, visible=False)
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# State variables
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agent_state = gr.State("INITIAL")
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initial_topic_state = gr.State("")
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def handle_initialization(google_key, tavily_key):
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init_status = initialize_models(google_key, tavily_key)
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initial_messages = [{"role": "assistant", "content": "Agent initialized. Please enter your research topic to begin."}]
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return {
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initialization_status: gr.update(value=f"**Status:** {init_status}", visible=True),
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chatbot: gr.update(visible=True, value=initial_messages),
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chat_input: gr.update(interactive=True, visible=True),
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settings_accordion: gr.update(open=False)
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}
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history.append({"role": "user", "content": user_input})
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if current_agent_state == "INITIAL":
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history.append({"role": "assistant", "content": "Thinking..."})
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yield history, "CLARIFYING", user_input, gr.update(interactive=False)
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questions = get_clarifying_questions(planner_model, user_input)
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history[-1] = {"role": "assistant", "content": "I can do that. To give you the best report, could you answer these questions for me?\n\n" + questions}
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yield history, "CLARIFYING", user_input, gr.update(interactive=True)
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elif current_agent_state == "CLARIFYING":
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history.append({"role": "assistant", "content": "Generating full report..."})
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yield history, "GENERATING", topic_state, gr.update(interactive=False)
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try:
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plan = research_and_plan(config, planner_model, tavily_client, topic_state, user_input)
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report_generator = write_report_stream(config, writer_model, tavily_client, embedding_model, reranker, plan)
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status_updates = ""
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final_report_md = update if "Report Generation Complete" not in update else final_report_md
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status_updates += update
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history[-1] = {"role": "assistant", "content": status_updates}
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yield history, "GENERATING", topic_state, gr.update(interactive=False)
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history.append({"role": "assistant", "content": final_report_md})
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yield history, "INITIAL", "", gr.update(interactive=True)
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except Exception as e:
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error_message = f"An error occurred: {str(e)}"
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history.append({"role": "assistant", "content": error_message})
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yield history, "INITIAL", "", gr.update(interactive=True)
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init_button.click(
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fn=handle_initialization,
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inputs=[google_api_key_input, tavily_api_key_input],
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outputs=[initialization_status, chatbot, chat_input, settings_accordion]
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)
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chat_input.submit(
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fn=chat_step,
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inputs=[chat_input, chatbot, agent_state, initial_topic_state],
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outputs=[chatbot, agent_state, initial_topic_state, chat_input]
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).then(
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lambda: "", None, chat_input, queue=False
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)
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