app_visuals.py

import gradio as gr
from gtts import gTTS
from moviepy.editor import *
from diffusers import StableDiffusionPipeline
import torch
import os
import random

# Ensure output folders exist
os.makedirs("outputs/images", exist_ok=True)
os.makedirs("outputs/audio", exist_ok=True)
os.makedirs("outputs/videos", exist_ok=True)
os.makedirs("bg_music", exist_ok=True)

device = "cuda" if torch.cuda.is_available() else "cpu"
sd_pipeline = StableDiffusionPipeline.from_pretrained(
    "runwayml/stable-diffusion-v1-5",
    torch_dtype=torch.float16 if device == "cuda" else torch.float32
).to(device)

def get_next_index(folder, prefix, ext):
    files = [f for f in os.listdir(folder) if f.startswith(prefix) and f.endswith(ext)]
    if not files:
        return 1
    nums = [int(f.split("_")[-1].replace(ext, "")) for f in files if f.split("_")[-1].replace(ext, "").isdigit()]
    return max(nums, default=0) + 1

def pick_random_music():
    files = [f"bg_music/{f}" for f in os.listdir("bg_music") if f.endswith(".mp3")]
    if not files:
        return None, None
    choice = random.choice(files)
    return choice, os.path.basename(choice)

# -------------------------------
# Main Generator
# -------------------------------
def generate_visual_affirmation(text, prompt, bg_music=None):
    img_index = get_next_index("outputs/images", "bg", ".png")
    voice_index = get_next_index("outputs/audio", "voice", ".mp3")
    video_index = get_next_index("outputs/videos", "affirmation", ".mp4")

    img_path = f"outputs/images/bg_{img_index}.png"
    voice_path = f"outputs/audio/voice_{voice_index}.mp3"
    out_path = f"outputs/videos/affirmation_{video_index}.mp4"

    # Generate Image
    image = sd_pipeline(prompt).images[0]
    image.save(img_path)

    # Generate Voice
    tts = gTTS(text=text, lang="en")
    tts.save(voice_path)

    # Pick Music
    chosen_music = None
    chosen_name = "No background music"
    if bg_music:
        chosen_music = bg_music
        chosen_name = os.path.basename(bg_music)
    else:
        chosen_music, chosen_name = pick_random_music()

    # Build Video
    duration = 10
    txt_clip = TextClip(text, fontsize=50, color="white", size=(720, 480), method="caption").set_duration(duration).set_position("center")
    img_clip = ImageClip(img_path).set_duration(duration).resize((720, 480))
    audio = AudioFileClip(voice_path)
    final_audio = audio

    if chosen_music:
        bg_audio = AudioFileClip(chosen_music).volumex(0.3)
        final_audio = CompositeAudioClip([audio, bg_audio])

    video = CompositeVideoClip([img_clip, txt_clip.set_audio(final_audio)], size=(720, 480))
    video.write_videofile(out_path, fps=24, codec="libx264", audio_codec="aac")

    # Return + store for re-roll
    return out_path, out_path, voice_path, img_path, f"🎶 Background Music: {chosen_name}", text, prompt, voice_path, img_path

# -------------------------------
# Re-roll Background Music
# -------------------------------
def reroll_music(text, prompt, voice_path, img_path):
    video_index = get_next_index("outputs/videos", "affirmation", ".mp4")
    out_path = f"outputs/videos/affirmation_{video_index}.mp4"

    # Pick new music
    chosen_music, chosen_name = pick_random_music()

    # Build new video
    duration = 10
    txt_clip = TextClip(text, fontsize=50, color="white", size=(720, 480), method="caption").set_duration(duration).set_position("center")
    img_clip = ImageClip(img_path).set_duration(duration).resize((720, 480))
    audio = AudioFileClip(voice_path)
    final_audio = audio

    if chosen_music:
        bg_audio = AudioFileClip(chosen_music).volumex(0.3)
        final_audio = CompositeAudioClip([audio, bg_audio])

    video = CompositeVideoClip([img_clip, txt_clip.set_audio(final_audio)], size=(720, 480))
    video.write_videofile(out_path, fps=24, codec="libx264", audio_codec="aac")

    return out_path, out_path, f"🎶 Background Music: {chosen_name}"

# -------------------------------
# Gradio UI
# -------------------------------
with gr.Blocks() as demo:
    gr.Markdown("## 🎨 Visual Affirmations Generator with Re-roll Music")
    with gr.Row():
        with gr.Column():
            text_in = gr.Textbox(label="Your Affirmation")
            prompt_in = gr.Textbox(label="Visual Prompt (e.g. sunset over ocean)")
            music_in = gr.Audio(label="Optional Background Music (leave empty to auto-pick)", type="filepath")
            btn = gr.Button("Generate Visual Video")
            reroll_btn = gr.Button("Re-roll Music 🎶")
        with gr.Column():
            out_video = gr.Video(label="Generated Video")
            download_video = gr.File(label="Download Video")
            download_audio = gr.File(label="Download Audio")
            download_image = gr.File(label="Download Image")
            music_info = gr.Label(label="Music Info")

    # Hidden states (keep text/prompt/audio/img for re-roll)
    text_state = gr.State()
    prompt_state = gr.State()
    voice_state = gr.State()
    img_state = gr.State()

    btn.click(
        fn=generate_visual_affirmation,
        inputs=[text_in, prompt_in, music_in],
        outputs=[out_video, download_video, download_audio, download_image, music_info, text_state, prompt_state, voice_state, img_state]
    )

    reroll_btn.click(
        fn=reroll_music,
        inputs=[text_state, prompt_state, voice_state, img_state],
        outputs=[out_video, download_video, music_info]
    )

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