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import gradio as gr
# Import UI creation and handler functions from tab modules
from tab_chat import create_chat_tab, handle_chat
from tab_code import create_code_tab
from tab_search import create_search_tab, handle_web_search
from tab_workflow import create_workflow_tab, handle_workflow_generation, handle_workflow_chat
# --- Main Gradio UI Definition ---
with gr.Blocks(theme=gr.themes.Default(primary_hue="blue")) as demo:
# Global state for the workflow tab
workflow_state = gr.State()
# --- Header ---
with gr.Row():
gr.Markdown("""
# Ling & Ring Playground
### 体验下一代聊天、编码、检索与工作流自动化
""")
with gr.Row():
gr.Markdown("""
[Ling Model Card](https://huggingface.co) | [Ring Model Card](https://huggingface.co) | [Read the Paper](https://huggingface.co) | [Join our Discord](https://huggingface.co)
""")
# --- Main UI Tabs ---
with gr.Tabs() as main_ui:
# Create tabs by calling functions from modules
with gr.Tab("聊天 (Chat)"):
chat_components = create_chat_tab()
with gr.Tab("代码生成 (Code Generation)"):
create_code_tab() # The code tab now handles its own events
with gr.Tab("网页检索 (Web Search)"):
search_components = create_search_tab()
with gr.Tab("工作流 (Workflow)"):
workflow_components = create_workflow_tab()
# --- Event Handling Logic ---
# Chat Tab Events
chat_submit_event = chat_components["chat_input"].submit(
fn=handle_chat,
inputs=[
chat_components["chat_input"],
chat_components["chatbot"],
chat_components["system_prompt"],
chat_components["temperature_slider"],
chat_components["model_selector"]
],
outputs=[
chat_components["chatbot"],
chat_components["chat_input"]
]
)
chat_components["send_button"].click(
fn=handle_chat,
inputs=[
chat_components["chat_input"],
chat_components["chatbot"],
chat_components["system_prompt"],
chat_components["temperature_slider"],
chat_components["model_selector"]
],
outputs=[
chat_components["chatbot"],
chat_components["chat_input"]
]
)
# Web Search Tab Events
search_components["search_button"].click(
fn=handle_web_search,
inputs=[search_components["search_input"]],
outputs=[search_components["search_results_output"]]
)
# Workflow Tab Events
workflow_components["generate_workflow_button"].click(
fn=handle_workflow_generation,
inputs=[workflow_components["workflow_description_input"]],
outputs=[
workflow_components["workflow_visualization_output"],
workflow_components["workflow_status_output"],
workflow_components["workflow_chatbot"],
workflow_state,
workflow_components["workflow_chat_input"] # 新增：直接作为输出
]
)
workflow_components["workflow_chat_input"].submit(
fn=handle_workflow_chat,
inputs=[
workflow_components["workflow_chat_input"],
workflow_components["workflow_chatbot"],
workflow_state
],
outputs=[
workflow_components["workflow_chatbot"],
workflow_state,
workflow_components["workflow_status_output"],
workflow_components["workflow_chat_input"]
]
)
demo.launch() |