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

# ๋ฒˆ์—ญ ํŒŒ์ดํ”„๋ผ์ธ ์ดˆ๊ธฐํ™”
translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en")

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 []

async def generate_video(client, prompt, loop=False, aspect_ratio="16:9", camera_motion=None, extend_id=None, reverse_extend_id=None, interpolate_ids=None, progress=gr.Progress()):
    # aspect_ratio์—์„œ ์‹ค์ œ ๋น„์œจ๋งŒ ์ถ”์ถœ
    aspect_ratio = aspect_ratio.split()[0]

    generation_params = {
        "prompt": prompt,
        "loop": loop,
        "aspect_ratio": aspect_ratio
    }

    if camera_motion:
        generation_params["prompt"] += f" {camera_motion}"

    if extend_id:
        generation_params["keyframes"] = {
            "frame0": {
                "type": "generation",
                "id": extend_id
            }
        }
    elif reverse_extend_id:
        generation_params["keyframes"] = {
            "frame1": {
                "type": "generation",
                "id": reverse_extend_id
            }
        }
    elif interpolate_ids:
        generation_params["keyframes"] = {
            "frame0": {
                "type": "generation",
                "id": interpolate_ids[0]
            },
            "frame1": {
                "type": "generation",
                "id": interpolate_ids[1]
            }
        }

    progress(0, desc="๋น„๋””์˜ค ์ƒ์„ฑ ์‹œ์ž‘ ์ค‘...")
    generation = await client.generations.create(**generation_params)
    
    progress(0.1, desc="๋น„๋””์˜ค ์ƒ์„ฑ ์‹œ์ž‘๋จ. ์™„๋ฃŒ ๋Œ€๊ธฐ ์ค‘...")
    
    # Poll for completion
    start_time = asyncio.get_event_loop().time()
    while True:
        status = await client.generations.get(id=generation.id)
        if status.state == "completed":
            break
        elif status.state == "failed":
            raise Exception("๋น„๋””์˜ค ์ƒ์„ฑ ์‹คํŒจ")
        
        # Update progress based on time elapsed (assuming 60 seconds total)
        elapsed_time = asyncio.get_event_loop().time() - start_time
        progress_value = min(0.1 + (elapsed_time / 60) * 0.8, 0.9)
        progress(progress_value, desc="๋น„๋””์˜ค ์ƒ์„ฑ ์ค‘...")
        
        await asyncio.sleep(5)

    progress(0.9, desc="์ƒ์„ฑ๋œ ๋น„๋””์˜ค ๋‹ค์šด๋กœ๋“œ ์ค‘...")
    
    # Download the video
    video_url = status.assets.video
    async with aiohttp.ClientSession() as session:
        async with session.get(video_url) as resp:
            if resp.status == 200:
                file_name = f"luma_ai_generated_{generation.id}.mp4"
                with open(file_name, 'wb') as fd:
                    while True:
                        chunk = await resp.content.read(1024)
                        if not chunk:
                            break
                        fd.write(chunk)
    
    progress(1.0, desc="๋น„๋””์˜ค ์ƒ์„ฑ ์™„๋ฃŒ!")
    return file_name, generation.id

async def translate_prompt(prompt):
    try:
        translated = translator(prompt, max_length=512)[0]['translation_text']
        return translated
    except Exception as e:
        print(f"๋ฒˆ์—ญ ์ค‘ ์˜ค๋ฅ˜ ๋ฐœ์ƒ: {str(e)}")
        return prompt  # ๋ฒˆ์—ญ ์‹คํŒจ ์‹œ ์›๋ณธ ํ”„๋กฌํ”„ํŠธ ๋ฐ˜ํ™˜

async def text_to_video(prompt, loop, aspect_ratio, camera_motion, extend_id, reverse_extend_id, interpolate_id1, interpolate_id2, progress=gr.Progress()):
    api_key = os.getenv("LMGEN_KEY")
    if not api_key:
        raise gr.Error("LMGEN_KEY ํ™˜๊ฒฝ ๋ณ€์ˆ˜๊ฐ€ ์„ค์ •๋˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.")
    
    client = AsyncLumaAI(auth_token=api_key)
    
    try:
        # ํ”„๋กฌํ”„ํŠธ ๋ฒˆ์—ญ
        translated_prompt = await translate_prompt(prompt)
        print(f"์›๋ณธ ํ”„๋กฌํ”„ํŠธ: {prompt}")
        print(f"๋ฒˆ์—ญ๋œ ํ”„๋กฌํ”„ํŠธ: {translated_prompt}")

        # aspect_ratio์—์„œ ์‹ค์ œ ๋น„์œจ๋งŒ ์ถ”์ถœ
        aspect_ratio = aspect_ratio.split()[0]

        interpolate_ids = None
        if interpolate_id1 and interpolate_id2:
            interpolate_ids = [interpolate_id1, interpolate_id2]

        video_path, video_id = await generate_video(
            client, translated_prompt, loop, aspect_ratio, camera_motion, 
            extend_id, reverse_extend_id, interpolate_ids, progress
        )
        return video_path, video_id, ""
    except Exception as e:
        return None, None, f"์˜ค๋ฅ˜ ๋ฐœ์ƒ: {str(e)}"

async def image_to_video(prompt, image_url, loop, aspect_ratio, camera_motion, progress=gr.Progress()):
    api_key = os.getenv("LMGEN_KEY")
    if not api_key:
        raise gr.Error("LMGEN_KEY ํ™˜๊ฒฝ ๋ณ€์ˆ˜๊ฐ€ ์„ค์ •๋˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.")
    
    client = AsyncLumaAI(auth_token=api_key)
    
    try:
        # ํ”„๋กฌํ”„ํŠธ ๋ฒˆ์—ญ
        translated_prompt = await translate_prompt(prompt)
        print(f"์›๋ณธ ํ”„๋กฌํ”„ํŠธ: {prompt}")
        print(f"๋ฒˆ์—ญ๋œ ํ”„๋กฌํ”„ํŠธ: {translated_prompt}")

        # aspect_ratio์—์„œ ์‹ค์ œ ๋น„์œจ๋งŒ ์ถ”์ถœ
        aspect_ratio = aspect_ratio.split()[0]

        generation_params = {
            "prompt": translated_prompt + (f" {camera_motion}" if camera_motion else ""),
            "loop": loop,
            "aspect_ratio": aspect_ratio,
            "keyframes": {
                "frame0": {
                    "type": "image",
                    "url": image_url
                }
            }
        }
        
        progress(0, desc="์ด๋ฏธ์ง€๋กœ๋ถ€ํ„ฐ ๋น„๋””์˜ค ์ƒ์„ฑ ์‹œ์ž‘ ์ค‘...")
        generation = await client.generations.create(**generation_params)
        
        progress(0.1, desc="๋น„๋””์˜ค ์ƒ์„ฑ ์‹œ์ž‘๋จ. ์™„๋ฃŒ ๋Œ€๊ธฐ ์ค‘...")
        
        # Poll for completion
        start_time = asyncio.get_event_loop().time()
        while True:
            status = await client.generations.get(id=generation.id)
            if status.state == "completed":
                break
            elif status.state == "failed":
                raise Exception("๋น„๋””์˜ค ์ƒ์„ฑ ์‹คํŒจ")
            
            # Update progress based on time elapsed (assuming 60 seconds total)
            elapsed_time = asyncio.get_event_loop().time() - start_time
            progress_value = min(0.1 + (elapsed_time / 60) * 0.8, 0.9)
            progress(progress_value, desc="๋น„๋””์˜ค ์ƒ์„ฑ ์ค‘...")
            
            await asyncio.sleep(5)

        progress(0.9, desc="์ƒ์„ฑ๋œ ๋น„๋””์˜ค ๋‹ค์šด๋กœ๋“œ ์ค‘...")
        
        # Download the video
        video_url = status.assets.video
        async with aiohttp.ClientSession() as session:
            async with session.get(video_url) as resp:
                if resp.status == 200:
                    file_name = f"luma_ai_generated_{generation.id}.mp4"
                    with open(file_name, 'wb') as fd:
                        while True:
                            chunk = await resp.content.read(1024)
                            if not chunk:
                                break
                            fd.write(chunk)
        
        progress(1.0, desc="๋น„๋””์˜ค ์ƒ์„ฑ ์™„๋ฃŒ!")
        return file_name, generation.id, ""
    except Exception as e:
        return None, None, f"์˜ค๋ฅ˜ ๋ฐœ์ƒ: {str(e)}"

css = """
footer {
    visibility: hidden;
}
"""

with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as demo:
    
    with gr.Tab("ํ…์ŠคํŠธ๋กœ ๋น„๋””์˜ค ๋งŒ๋“ค๊ธฐ"):
        prompt = gr.Textbox(label="ํ”„๋กฌํ”„ํŠธ (๋น„๋””์˜ค์— ๋Œ€ํ•œ ์„ค๋ช…์„ ์ž…๋ ฅํ•˜์„ธ์š”)")
        generate_btn = gr.Button("๋น„๋””์˜ค ์ƒ์„ฑ")
        video_output = gr.Video(label="์ƒ์„ฑ๋œ ๋น„๋””์˜ค")
        video_id_output = gr.Textbox(label="์ƒ์„ฑ๋œ ๋น„๋””์˜ค ID", visible=True)
        error_output = gr.Textbox(label="์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€", visible=True)
        
        with gr.Accordion("๊ณ ๊ธ‰ ์˜ต์…˜", open=False):
            loop = gr.Checkbox(label="๋ฃจํ”„ (๋น„๋””์˜ค๋ฅผ ๋ฐ˜๋ณต ์žฌ์ƒํ• ์ง€ ์„ค์ •)", value=False)
            aspect_ratio = gr.Dropdown(
                label="ํ™”๋ฉด ๋น„์œจ", 
                choices=["16:9 (์™€์ด๋“œ์Šคํฌ๋ฆฐ)", "1:1 (์ •์‚ฌ๊ฐํ˜•)", "9:16 (์„ธ๋กœ ์˜์ƒ)", "4:3 (ํ‘œ์ค€)", "3:4 (์„ธ๋กœ ํ‘œ์ค€)", "21:9 (์šธํŠธ๋ผ์™€์ด๋“œ)", "9:21 (์„ธ๋กœ ์šธํŠธ๋ผ์™€์ด๋“œ)"], 
                value="16:9 (์™€์ด๋“œ์Šคํฌ๋ฆฐ)"
            )
            camera_motion = gr.Dropdown(label="์นด๋ฉ”๋ผ ๋ชจ์…˜ (์นด๋ฉ”๋ผ ์›€์ง์ž„ ํšจ๊ณผ ์„ ํƒ)")
            extend_id = gr.Textbox(label="ํ™•์žฅํ•  ๋น„๋””์˜ค ID (๊ธฐ์กด ๋น„๋””์˜ค๋ฅผ ์ด์–ด์„œ ์ƒ์„ฑํ•  ๋•Œ ์ž…๋ ฅ)")
            reverse_extend_id = gr.Textbox(label="์—ญ๋ฐฉํ–ฅ ํ™•์žฅํ•  ๋น„๋””์˜ค ID (๊ธฐ์กด ๋น„๋””์˜ค์˜ ์•ž๋ถ€๋ถ„์„ ์ƒ์„ฑํ•  ๋•Œ ์ž…๋ ฅ)")
            with gr.Row():
                interpolate_id1 = gr.Textbox(label="๋ณด๊ฐ„ ๋น„๋””์˜ค ID 1 (๋‘ ๋น„๋””์˜ค ์‚ฌ์ด๋ฅผ ๋ณด๊ฐ„ํ•  ๋•Œ ์ฒซ ๋ฒˆ์งธ ๋น„๋””์˜ค ID)")
                interpolate_id2 = gr.Textbox(label="๋ณด๊ฐ„ ๋น„๋””์˜ค ID 2 (๋‘ ๋น„๋””์˜ค ์‚ฌ์ด๋ฅผ ๋ณด๊ฐ„ํ•  ๋•Œ ๋‘ ๋ฒˆ์งธ ๋น„๋””์˜ค ID)")
        
        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, video_id_output, error_output]
        )
    
    with gr.Tab("์ด๋ฏธ์ง€๋กœ ๋น„๋””์˜ค ๋งŒ๋“ค๊ธฐ"):
        img_prompt = gr.Textbox(label="ํ”„๋กฌํ”„ํŠธ (์ด๋ฏธ์ง€๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ƒ์„ฑํ•  ๋น„๋””์˜ค์— ๋Œ€ํ•œ ์„ค๋ช…)")
        img_url = gr.Textbox(label="์ด๋ฏธ์ง€ URL (๋ณ€ํ™˜ํ•˜๊ณ ์ž ํ•˜๋Š” ์ด๋ฏธ์ง€์˜ ์›น ์ฃผ์†Œ)")
        img_generate_btn = gr.Button("์ด๋ฏธ์ง€๋กœ ๋น„๋””์˜ค ์ƒ์„ฑ")
        img_video_output = gr.Video(label="์ƒ์„ฑ๋œ ๋น„๋””์˜ค")
        img_video_id_output = gr.Textbox(label="์ƒ์„ฑ๋œ ๋น„๋””์˜ค ID", visible=True)
        img_error_output = gr.Textbox(label="์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€", visible=True)
        
        with gr.Accordion("๊ณ ๊ธ‰ ์˜ต์…˜", open=False):
            img_loop = gr.Checkbox(label="๋ฃจํ”„ (๋น„๋””์˜ค๋ฅผ ๋ฐ˜๋ณต ์žฌ์ƒํ• ์ง€ ์„ค์ •)", value=False)
            img_aspect_ratio = gr.Dropdown(
                label="ํ™”๋ฉด ๋น„์œจ", 
                choices=["16:9 (์™€์ด๋“œ์Šคํฌ๋ฆฐ)", "1:1 (์ •์‚ฌ๊ฐํ˜•)", "9:16 (์„ธ๋กœ ์˜์ƒ)", "4:3 (ํ‘œ์ค€)", "3:4 (์„ธ๋กœ ํ‘œ์ค€)", "21:9 (์šธํŠธ๋ผ์™€์ด๋“œ)", "9:21 (์„ธ๋กœ ์šธํŠธ๋ผ์™€์ด๋“œ)"], 
                value="16:9 (์™€์ด๋“œ์Šคํฌ๋ฆฐ)"
            )
            img_camera_motion = gr.Dropdown(label="์นด๋ฉ”๋ผ ๋ชจ์…˜ (์นด๋ฉ”๋ผ ์›€์ง์ž„ ํšจ๊ณผ ์„ ํƒ)")
        
        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_video_id_output, img_error_output]
        )

    async def update_camera_motions():
        try:
            motions = await get_camera_motions()
            return gr.update(choices=motions), gr.update(choices=motions)
        except Exception as e:
            print(f"์นด๋ฉ”๋ผ ๋ชจ์…˜ ์—…๋ฐ์ดํŠธ ์ค‘ ์˜ค๋ฅ˜ ๋ฐœ์ƒ: {str(e)}")
            return gr.update(choices=[]), gr.update(choices=[])

    demo.load(update_camera_motions, outputs=[camera_motion, img_camera_motion])

demo.queue().launch(auth=("gini","pick"))