app.py

# /app.py

"""
Main Gradio application for AnyCoder.

This file defines the user interface, handles user interactions, and orchestrates
the calls to the backend logic in other modules.
"""
import gradio as gr

from config import AVAILABLE_MODELS, DEMO_LIST, MULTIMODAL_MODELS
from core import generate_code
from deployment import deploy_to_hf_space
from utils import get_gradio_language

# --- UI Helper Functions ---

def send_to_sandbox(code: str, language: str) -> str:
    """Generates an iframe for the preview tab."""
    if language == "html" and code:
        return f'<iframe srcdoc="{code.replace("\"", """)}" width="100%" height="920px" style="border:0;"></iframe>'
    return "<div style='padding:1em;color:#888;text-align:center;'>Preview is only for HTML.</div>"

# --- Event Handlers ---

def on_generate_click(
    query: str, image: gr.Image, file: gr.File, website_url: str,
    history: list, model_name: str, enable_search: bool, language: str
):
    """Handler for the 'Generate' button click event."""
    if not query and not image and not file and not website_url:
        yield {
            code_output: gr.update(value="Please provide a prompt, image, file, or URL.", language="text"),
            history_output: history
        }
        return

    model_config = next((m for m in AVAILABLE_MODELS if m['name'] == model_name), AVAILABLE_MODELS[0])

    # Stream the response
    for response in generate_code(query, image, file.name if file else None, website_url, history, model_config, enable_search, language):
        ui_update = {
            code_output: gr.update(value=response.get("code_output"), language=get_gradio_language(language)),
            sandbox: send_to_sandbox(response.get("code_output", ""), language)
        }
        if "history" in response:
            ui_update[history_state] = response["history"]
            ui_update[history_output] = response["history"]
        yield ui_update

def on_model_change(model_name: str):
    """Updates UI elements when the model selection changes."""
    model_id = next((m['id'] for m in AVAILABLE_MODELS if m['name'] == model_name), None)
    return gr.update(visible=model_id in MULTIMODAL_MODELS)

def on_language_change(language: str):
    """Updates the code output and preview when language changes."""
    return gr.update(language=get_gradio_language(language))

def on_deploy_click(code: str, space_name: str, sdk_name: str, hf_token: str):
    """Handler for the deploy button."""
    sdk_map = {"Static (HTML)": "static", "Gradio (Python)": "gradio"}
    sdk = sdk_map.get(sdk_name, "static")
    return gr.update(value=deploy_to_hf_space(code, space_name, sdk, hf_token), visible=True)

# --- Gradio UI Layout ---
with gr.Blocks(theme=gr.themes.Default(primary_hue="blue"), title="AnyCoder") as demo:
    history_state = gr.State([])
    hf_token_state = gr.State()

    gr.Markdown("# 🤖 AnyCoder - AI Code Generator")
    gr.Markdown("Describe what you want to build, upload a design, or provide a URL to redesign. The AI will generate the code for you.")

    with gr.Row():
        with gr.Column(scale=1):
            # --- Inputs ---
            input_prompt = gr.Textbox(label="Prompt", placeholder="e.g., a login form with a blue button", lines=3)
            language_dropdown = gr.Dropdown(choices=["html", "python", "javascript", "css"], value="html", label="Language")
            website_url_input = gr.Textbox(label="URL to Redesign", placeholder="https://example.com")
            file_input = gr.File(label="Reference File (PDF, TXT, DOCX, image)")
            image_input = gr.Image(label="UI Design Image", type="numpy", visible=False)
            
            # --- Controls ---
            with gr.Accordion("Settings", open=False):
                model_dropdown = gr.Dropdown(choices=[m['name'] for m in AVAILABLE_MODELS], value=AVAILABLE_MODELS[0]['name'], label="Model")
                search_toggle = gr.Checkbox(label="Enable Web Search", value=False)
            
            with gr.Row():
                clear_btn = gr.Button("Clear")
                generate_btn = gr.Button("Generate", variant="primary", scale=2)

            # --- Deployment ---
            with gr.Accordion("🚀 Deploy to Hugging Face", open=False):
                login_button = gr.LoginButton()
                space_name_input = gr.Textbox(label="New App Name", placeholder="my-cool-app")
                sdk_dropdown = gr.Dropdown(choices=["Static (HTML)", "Gradio (Python)"], value="Static (HTML)", label="App Type")
                deploy_btn = gr.Button("Deploy")
                deploy_status = gr.Markdown(visible=False)
                
        with gr.Column(scale=2):
            # --- Outputs ---
            with gr.Tabs():
                with gr.Tab("Preview"):
                    sandbox = gr.HTML(label="Live Preview", elem_id="sandbox-preview")
                with gr.Tab("Code"):
                    code_output = gr.Code(label="Generated Code", language="html", interactive=True)
                with gr.Tab("History"):
                    history_output = gr.Chatbot(label="Conversation History", bubble_full_width=False)
    
    # --- Event Wiring ---
    generate_btn.click(
        fn=on_generate_click,
        inputs=[input_prompt, image_input, file_input, website_url_input, history_state, model_dropdown, search_toggle, language_dropdown],
        outputs=[code_output, sandbox, history_state, history_output]
    )
    clear_btn.click(lambda: ([], [], None, None, None, "", ""), outputs=[history_state, history_output, input_prompt, image_input, file_input, website_url_input, code_output])
    
    model_dropdown.change(on_model_change, inputs=model_dropdown, outputs=image_input)
    language_dropdown.change(on_language_change, inputs=language_dropdown, outputs=code_output)
    language_dropdown.change(lambda code, lang: send_to_sandbox(code, lang), inputs=[code_output, language_dropdown], outputs=sandbox)
    
    login_button.login(lambda token: gr.update(value=token), outputs=hf_token_state)
    deploy_btn.click(
        on_deploy_click,
        inputs=[code_output, space_name_input, sdk_dropdown, hf_token_state],
        outputs=deploy_status
    )

if __name__ == "__main__":
    demo.queue().launch()