app.py

import gradio as gr
import os
from lumaai import AsyncLumaAI
import asyncio
import aiohttp

async def get_camera_motions():
    api_key = os.getenv("LMGEN_KEY")
    if not api_key:
        raise gr.Error("LMGEN_KEY environment variable is not set.")
    
    client = AsyncLumaAI(auth_token=api_key)
    try:
        motions = await client.generations.camera_motion.list()
        return [str(motion) for motion in motions]  # Convert each motion to a string
    except Exception as e:
        print(f"Error fetching camera motions: {str(e)}")
        return []

# 나머지 함수들 (generate_video, text_to_video, image_to_video)은 변경하지 않습니다...

with gr.Blocks() as demo:
    gr.Markdown("# Luma AI Text-to-Video Demo")
    
    with gr.Tab("Text to Video"):
        prompt = gr.Textbox(label="Prompt")
        generate_btn = gr.Button("Generate Video")
        video_output = gr.Video(label="Generated Video")
        error_output = gr.Textbox(label="Error Messages", visible=True)
        
        with gr.Accordion("Advanced Options", open=False):
            loop = gr.Checkbox(label="Loop", value=False)
            aspect_ratio = gr.Dropdown(label="Aspect Ratio", choices=["16:9", "1:1", "9:16", "4:3", "3:4"], value="16:9")
            camera_motion = gr.Dropdown(label="Camera Motion", choices=[])
            extend_id = gr.Textbox(label="Extend Video ID (optional)")
            reverse_extend_id = gr.Textbox(label="Reverse Extend Video ID (optional)")
            with gr.Row():
                interpolate_id1 = gr.Textbox(label="Interpolate Video ID 1 (optional)")
                interpolate_id2 = gr.Textbox(label="Interpolate Video ID 2 (optional)")
        
        generate_btn.click(
            text_to_video,
            inputs=[prompt, loop, aspect_ratio, camera_motion, extend_id, reverse_extend_id, interpolate_id1, interpolate_id2],
            outputs=[video_output, error_output]
        )
    
    with gr.Tab("Image to Video"):
        img_prompt = gr.Textbox(label="Prompt")
        img_url = gr.Textbox(label="Image URL")
        img_generate_btn = gr.Button("Generate Video from Image")
        img_video_output = gr.Video(label="Generated Video")
        img_error_output = gr.Textbox(label="Error Messages", visible=True)
        
        with gr.Accordion("Advanced Options", open=False):
            img_loop = gr.Checkbox(label="Loop", value=False)
            img_aspect_ratio = gr.Dropdown(label="Aspect Ratio", choices=["16:9", "1:1", "9:16", "4:3", "3:4"], value="16:9")
            img_camera_motion = gr.Dropdown(label="Camera Motion", choices=[])
        
        img_generate_btn.click(
            image_to_video,
            inputs=[img_prompt, img_url, img_loop, img_aspect_ratio, img_camera_motion],
            outputs=[img_video_output, img_error_output]
        )

    async def update_camera_motions():
        try:
            motions = await get_camera_motions()
            return {camera_motion: gr.update(choices=motions), img_camera_motion: gr.update(choices=motions)}
        except Exception as e:
            print(f"Error updating camera motions: {str(e)}")
            return {camera_motion: gr.update(choices=[]), img_camera_motion: gr.update(choices=[])}

    demo.load(update_camera_motions)

demo.queue().launch(debug=True)