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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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from config import ( |
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AVAILABLE_MODELS, DEMO_LIST, HTML_SYSTEM_PROMPT, |
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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, perform_web_search |
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from ux_components import create_top_demo_cards |
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') |
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theme = gr.themes.Base( |
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primary_hue=gr.themes.colors.blue, |
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secondary_hue=gr.themes.colors.blue, |
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neutral_hue=gr.themes.colors.neutral, |
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font=gr.themes.GoogleFont("Inter"), |
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font_mono=gr.themes.GoogleFont("JetBrains Mono"), |
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) |
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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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try: |
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if hasattr(e, '_data') and e._data: |
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if 'index' in e._data: |
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index = e._data['index'] |
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elif 'component' in e._data and 'index' in e._data['component']: |
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index = e._data['component']['index'] |
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elif 'target' in e._data and 'index' in e._data['target']: |
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index = e._data['target']['index'] |
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else: |
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index = 0 |
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else: |
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index = 0 |
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if index >= len(DEMO_LIST): |
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index = 0 |
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return DEMO_LIST[index]['description'] |
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except (KeyError, IndexError, AttributeError) as e: |
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return DEMO_LIST[0]['description'] |
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with gr.Blocks( |
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theme=gr.themes.Base( |
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primary_hue=gr.themes.colors.blue, |
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secondary_hue=gr.themes.colors.blue, |
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neutral_hue=gr.themes.colors.neutral, |
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font=gr.themes.GoogleFont("Inter"), |
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font_mono=gr.themes.GoogleFont("JetBrains Mono"), |
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text_size=gr.themes.sizes.text_lg, |
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spacing_size=gr.themes.sizes.spacing_lg, |
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radius_size=gr.themes.sizes.radius_lg, |
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), |
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title="AnyCoder - AI Code Generator", |
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css=""" |
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.col-header { text-transform: uppercase; font-size: 0.9em; letter-spacing: 0.05em; color: #555; border-bottom: 1px solid #eee; padding-bottom: 0.5em; margin-bottom: 1em; } |
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.col-header + div { margin-top: 0; } /* Remove extra spacing */ |
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.gradio-container .gr-button-primary { background: linear-gradient(to right, #42a5f5, #4791db); color: white; } /* Blue gradient */ |
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.gradio-container .gr-button-secondary { background-color: #e3f2fd; color: #1e88e5; } /* Lighter blue */ |
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.gradio-container .gr-button-small { font-size: 0.875rem; padding: 0.5rem 1rem; } /* Smaller buttons*/ |
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.gradio-container .gr-textbox, .gradio-container .gr-dropdown { border-radius: 6px; } |
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.gradio-container .tabs { border-bottom: 2px solid #e0f2f7; } /* Tabs container line */ |
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.gradio-container .tabitem { padding: 1rem; } /* Tab content padding*/ |
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.gradio-container .gr-code { border-radius: 6px; background-color: #f5f5f5; } /* Code background */ |
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""" |
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) as demo: |
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gr.HTML("<h1 align='center'>Shasha - 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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}) |
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current_model = gr.State(AVAILABLE_MODELS[0]) |
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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(equal_height=False): |
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with gr.Column(scale=1): |
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gr.Markdown("## Controls", elem_classes=["col-header"]) |
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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_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 |
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) |
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with gr.Row(equal_height=True): |
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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", elem_classes=["col-header"]) |
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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", elem_classes=["col-header"]) |
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search_toggle = gr.Checkbox( |
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label="๐ 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("โ ๏ธ 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'], |
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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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system_prompt_input = 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", min_width=100, elem_classes="gr-button-small") |
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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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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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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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save_prompt_btn.click(save_prompt, inputs=system_prompt_input, outputs=setting) |
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language_dropdown.change(update_code_language, inputs=language_dropdown, outputs=code_output) |
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code_output.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) |