Update app.py
Browse files
app.py
CHANGED
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@@ -1,5 +1,6 @@
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import os
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from typing import Dict, List, Optional, Tuple
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import asyncio
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import gradio as gr
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)
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from api_clients import generation_code, tavily_client
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from chat_processing import (
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clear_history, history_to_chatbot_messages, update_image_input_visibility,
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get_gradio_language, send_to_sandbox
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)
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from file_processing import create_multimodal_message
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from web_extraction import enhance_query_with_search
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from ux_components import create_top_demo_cards
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# --- Gradio App UI ---
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-
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-
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try:
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# Get the index from the event data
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if hasattr(e, '_data') and e._data:
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@@ -60,6 +65,7 @@ with gr.Blocks(
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),
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title="AnyCoder - AI Code Generator"
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) as demo:
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history = gr.State([])
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setting = gr.State({
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"system": HTML_SYSTEM_PROMPT,
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current_model = gr.State(AVAILABLE_MODELS[0]) # Moonshot Kimi-K2
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open_panel = gr.State(None)
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last_login_state = gr.State(None)
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with gr.Sidebar():
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input = gr.Textbox(
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label="What would you like to build?",
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placeholder="Describe your application...",
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lines=3,
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visible=True # Always visible
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)
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# Language dropdown for code generation
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language_choices = [
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"python", "c", "cpp", "markdown", "latex", "json", "html", "css", "javascript", "jinja2", "typescript", "yaml", "dockerfile", "shell", "r", "sql", "sql-msSQL", "sql-mySQL", "sql-mariaDB", "sql-sqlite", "sql-cassandra", "sql-plSQL", "sql-hive", "sql-pgSQL", "sql-gql", "sql-gpSQL", "sql-sparkSQL", "sql-esper"
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]
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language_dropdown = gr.Dropdown(
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choices=language_choices,
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value="html",
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label="Code Language",
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visible=True # Always visible
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)
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website_url_input = gr.Textbox(
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label="Website URL for redesign",
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placeholder="https://example.com",
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lines=1,
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visible=True # Always visible
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)
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file_input = gr.File(
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label="Reference file",
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file_types=[".pdf", ".txt", ".md", ".csv", ".docx", ".jpg", ".jpeg", ".png", ".bmp", ".tiff", ".tif", ".gif", ".webp"],
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visible=True # Always visible
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)
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image_input = gr.Image(
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label="UI design image",
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visible=False # Hidden by default; shown only for ERNIE-VL or GLM-VL
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)
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with gr.Row():
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btn = gr.Button("Generate", variant="primary", size="lg", scale=2, visible=True) # Always visible
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clear_btn = gr.Button("Clear", variant="secondary", size="sm", scale=1, visible=True) # Always visible
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search_toggle = gr.Checkbox(
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label="🔍 Web search",
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value=False,
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visible=True # Always visible
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)
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model_dropdown = gr.Dropdown(
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choices=[model['name'] for model in AVAILABLE_MODELS],
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value=AVAILABLE_MODELS[0]['name'], # Moonshot Kimi-K2
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label="Model",
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visible=True # Always visible
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)
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gr.Markdown("**Quick start**", visible=True)
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quick_examples_col = create_top_demo_cards(input)
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if not tavily_client:
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gr.Markdown("⚠️ Web search unavailable", visible=True)
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else:
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gr.Markdown("✅ Web search available", visible=True)
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model_display = gr.Markdown(f"**Model:** {AVAILABLE_MODELS[0]['name']}", visible=True) # Moonshot Kimi-K2
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def on_model_change(model_name):
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for m in AVAILABLE_MODELS:
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if m['name'] == model_name:
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return m, f"**Model:** {m['name']}", update_image_input_visibility(m)
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return AVAILABLE_MODELS[0], f"**Model:** {AVAILABLE_MODELS[0]['name']}", update_image_input_visibility(AVAILABLE_MODELS[0]) # Moonshot Kimi-K2 fallback
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def save_prompt(input):
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return {setting: {"system": input}}
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model_dropdown.change(
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on_model_change,
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inputs=model_dropdown,
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outputs=[current_model, model_display, image_input]
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)
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with gr.Accordion("Advanced", open=False, visible=True) as advanced_accordion:
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systemPromptInput = gr.Textbox(
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value=HTML_SYSTEM_PROMPT,
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label="System prompt",
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lines=5
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)
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save_prompt_btn = gr.Button("Save", variant="primary", size="sm")
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save_prompt_btn.click(save_prompt, inputs=systemPromptInput, outputs=setting)
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with gr.
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with gr.
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)
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# --- Event Handlers ---
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def update_code_language(language):
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return gr.update(language=get_gradio_language(language))
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language_dropdown.change(update_code_language, inputs=language_dropdown, outputs=code_output)
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def preview_logic(code, language):
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if language == "html":
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return send_to_sandbox(code)
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else:
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return "<div style='padding:1em;color:#888;text-align:center;'>Preview is only available for HTML.</div>"
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async for update in task:
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yield update
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return wrapper() # Return the wrapper function
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btn.click(fn=submit_query,
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inputs=[input, image_input, file_input, website_url_input, setting, history, current_model, search_toggle, language_dropdown],
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outputs=[code_output, history, sandbox, history_output])
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# Update preview when code or language changes
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code_output.change(preview_logic, inputs=[code_output, language_dropdown], outputs=sandbox)
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language_dropdown.change(preview_logic, inputs=[code_output, language_dropdown], outputs=sandbox)
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clear_btn.click(clear_history, outputs=[history, history_output, file_input, website_url_input])
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if __name__ == "__main__":
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demo.queue(api_open=False, default_concurrency_limit=20).launch(ssr_mode=True, mcp_server=False, show_api=False)
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if __name__ == "__main__":
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demo.queue(api_open=False, default_concurrency_limit=20).launch(ssr_mode=True, mcp_server=False, show_api=False)
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import os
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from typing import Dict, List, Optional, Tuple
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import logging
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import asyncio
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import gradio as gr
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)
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from api_clients import generation_code, tavily_client
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from chat_processing import (
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clear_history, history_to_chatbot_messages, update_image_input_visibility, update_submit_button,
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get_gradio_language, send_to_sandbox
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)
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from file_processing import create_multimodal_message
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from web_extraction import enhance_query_with_search
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from ux_components import create_top_demo_cards
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# --- Gradio App UI ---
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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def demo_card_click(evt: gr.EventData):
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"""Handles clicks on the demo cards to populate the input textbox."""
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# This function seems complex for its purpose. Gradio's event data can be tricky.
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# A simpler approach might be to directly pass the description.
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# For now, keeping the logic but adding comments.
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try:
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# Get the index from the event data
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if hasattr(e, '_data') and e._data:
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),
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title="AnyCoder - AI Code Generator"
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) as demo:
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gr.HTML("<h1 align='center'>AnyCoder - AI Code Generator</h1>")
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history = gr.State([])
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setting = gr.State({
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"system": HTML_SYSTEM_PROMPT,
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current_model = gr.State(AVAILABLE_MODELS[0]) # Moonshot Kimi-K2
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open_panel = gr.State(None)
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last_login_state = gr.State(None)
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("## Controls")
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input = gr.Textbox(
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label="What would you like to build?",
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placeholder="Describe your application...",
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lines=4,
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interactive=True
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)
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# Language dropdown for code generation
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language_choices = [
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"python", "c", "cpp", "markdown", "latex", "json", "html", "css", "javascript", "jinja2", "typescript", "yaml", "dockerfile", "shell", "r", "sql"
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]
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language_dropdown = gr.Dropdown(
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choices=language_choices,
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value="html",
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label="Code Language"
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)
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website_url_input = gr.Textbox(
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label="Website URL for redesign",
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placeholder="https://example.com",
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lines=1
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)
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file_input = gr.File(
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label="Reference file",
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file_types=[".pdf", ".txt", ".md", ".csv", ".docx", ".jpg", ".jpeg", ".png", ".bmp", ".tiff", ".tif", ".gif", ".webp"]
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)
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image_input = gr.Image(
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label="UI design image",
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visible=False # Hidden by default; shown only for ERNIE-VL or GLM-VL
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)
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with gr.Row():
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btn = gr.Button("Generate", variant="primary", size="lg", scale=2, interactive=False)
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clear_btn = gr.Button("Clear", variant="secondary", size="sm", scale=1)
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gr.Markdown("---")
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gr.Markdown("### Quick Examples")
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quick_examples_col = create_top_demo_cards(input)
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gr.Markdown("---")
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gr.Markdown("### Settings")
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search_toggle = gr.Checkbox(
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label="🔍 Web search",
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value=False,
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)
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if not tavily_client:
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gr.Markdown("⚠️ Web search unavailable", visible=True)
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model_dropdown = gr.Dropdown(
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choices=[model['name'] for model in AVAILABLE_MODELS],
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value=AVAILABLE_MODELS[0]['name'], # Moonshot Kimi-K2
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label="Model",
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)
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with gr.Accordion("Advanced Settings", open=False):
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systemPromptInput = gr.Textbox(
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value=HTML_SYSTEM_PROMPT,
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label="System Prompt",
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lines=5
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)
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save_prompt_btn = gr.Button("Save Prompt", variant="secondary", size="sm")
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with gr.Column(scale=3):
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model_display = gr.Markdown(f"**Model:** {AVAILABLE_MODELS[0]['name']}", visible=True)
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with gr.Tabs():
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with gr.Tab("Code"):
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code_output = gr.Code(
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language="html",
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lines=28,
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interactive=False,
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label="Generated Code"
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)
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with gr.Tab("Preview"):
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sandbox = gr.HTML(label="Live Preview")
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with gr.Tab("History"):
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history_output = gr.Chatbot(show_label=False, height=600, type="messages")
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# --- Event Handlers ---
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def on_model_change(model_name):
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for m in AVAILABLE_MODELS:
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if m['name'] == model_name:
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return m, f"**Model:** {m['name']}", update_image_input_visibility(m)
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return AVAILABLE_MODELS[0], f"**Model:** {AVAILABLE_MODELS[0]['name']}", update_image_input_visibility(AVAILABLE_MODELS[0])
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def save_prompt(prompt_text):
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return {setting: {"system": prompt_text}}
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def update_code_language(language):
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return gr.update(language=get_gradio_language(language))
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def preview_logic(code, language):
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if language == "html":
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return send_to_sandbox(code)
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else:
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return "<div style='padding:1em;color:#888;text-align:center;'>Preview is only available for HTML.</div>"
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async def submit_query(*args):
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"""Handles the main code generation logic asynchronously."""
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# This is the correct way to handle async generators in Gradio
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with gr.Tabs():
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async for update in generation_code(*args):
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yield update
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btn.click(fn=submit_query,
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inputs=[input, image_input, file_input, website_url_input, setting, history, current_model, search_toggle, language_dropdown],
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outputs=[code_output, history, sandbox, history_output])
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input.change(update_submit_button, inputs=input, outputs=btn)
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model_dropdown.change(
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on_model_change,
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inputs=model_dropdown,
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outputs=[current_model, model_display, image_input]
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)
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| 191 |
+
save_prompt_btn.click(save_prompt, inputs=systemPromptInput, outputs=setting)
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| 192 |
# Update preview when code or language changes
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| 193 |
+
language_dropdown.change(update_code_language, inputs=language_dropdown, outputs=code_output)
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| 194 |
code_output.change(preview_logic, inputs=[code_output, language_dropdown], outputs=sandbox)
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| 195 |
clear_btn.click(clear_history, outputs=[history, history_output, file_input, website_url_input])
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| 196 |
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|
| 197 |
if __name__ == "__main__":
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| 198 |
demo.queue(api_open=False, default_concurrency_limit=20).launch(ssr_mode=True, mcp_server=False, show_api=False)
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