import gradio as gr
from transformers import pipeline
import io, base64
from PIL import Image

import numpy as np
import tensorflow as tf
import mediapy

import os
os.system("git clone https://github.com/google-research/frame-interpolation")
import sys
sys.path.append("frame-interpolation")
from eval import interpolator, util

from huggingface_hub import snapshot_download

ffmpeg_path = util.get_ffmpeg_path()
mediapy.set_ffmpeg(ffmpeg_path)

story_gen = pipeline("text-generation", "pranavpsv/gpt2-genre-story-generator")
image_gen = gr.Interface.load("spaces/multimodalart/latentdiffusion")

# spaces/akhaliq/frame-interpolation/tree/main
model = snapshot_download(repo_id="akhaliq/frame-interpolation-film-style")
interpolator = interpolator.Interpolator(model, None)

def generate_story(choice, input_text):
    print(choice)
    print(input_text)

    query = "<BOS> <{0}> {1}".format(choice, input_text)
    
    print(query)
    generated_text = story_gen(query)
    generated_text = generated_text[0]['generated_text']
    generated_text = generated_text.split('> ')[2]
    
    return generated_text
    
def generate_images(generated_text):
    steps=45
    width=256
    height=256
    num_images=4
    diversity=6
    image_bytes = image_gen(generated_text, steps, width, height, num_images, diversity)
    
    # Algo from spaces/Gradio-Blocks/latent_gpt2_story/blob/main/app.py
    print(len(image_bytes))
    generated_images = []
    for image in image_bytes[1]:
        image_str = image[0]
        image_str = image_str.replace("data:image/png;base64,","")
        decoded_bytes = base64.decodebytes(bytes(image_str, "utf-8"))
        img = Image.open(io.BytesIO(decoded_bytes))
        generated_images.append(img)
        
    return generated_images
    
def generate_interpolation(gallery):
    times_to_interpolate = 4
    
    generated_images = []
    for image_str in gallery:
        image_str = image_str.replace("data:image/png;base64,","")
        decoded_bytes = base64.decodebytes(bytes(image_str, "utf-8"))
        img = Image.open(io.BytesIO(decoded_bytes))
        generated_images.append(img)
    
    generated_images[0].save('frame_0.png')
    generated_images[1].save('frame_1.png')
    generated_images[2].save('frame_2.png')
    generated_images[3].save('frame_3.png')
    
    input_frames = ["frame_0.png", "frame_1.png", "frame_2.png", "frame_3.png"]

    frames = list(util.interpolate_recursively_from_files(input_frames, times_to_interpolate, interpolator))

    mediapy.write_video("out.mp4", frames, fps=15)
    
    return "out.mp4"
    
    

demo = gr.Blocks()

with demo:
    with gr.Row():
    
        # Left column (inputs)
        with gr.Column():
            input_story_type = gr.Radio(choices=['superhero', 'action', 'drama', 'horror', 'thriller', 'sci_fi'], default='sci_fi', label="Genre")
            input_start_text = gr.Textbox(placeholder='A teddy bear outer space', label="Starting Text")
            
            gr.Markdown("Be sure to run each of the buttons one at a time, they depend on each others' outputs!")
            
            # Rows of instructions & buttons
            with gr.Row():
                gr.Markdown("1. Select a type of story, then write some starting text! Then hit the 'Generate Story' button to generate a story!")
                button_gen_story = gr.Button("Generate Story")
            with gr.Row():
                gr.Markdown("2. After generating a story, hit the 'Generate Images' button to create some visuals for your story! (Can re-run multiple times!)")
                button_gen_images = gr.Button("Generate Images")
            with gr.Row():
                gr.Markdown("3. After generating some images, hit the 'Generate Video' button to create a short video by interpolating the previously generated visuals!")
                button_gen_video = gr.Button("Generate Video")
                
        # Right column (outputs)
        with gr.Column():
            output_generated_story = gr.Textbox(label="Generated Story")
            output_gallery = gr.Gallery(label="Generated Story Images")
            output_interpolation = gr.Video(label="Generated Video")
            
    # Bind functions to buttons
    button_gen_story.click(fn=generate_story, inputs=[input_story_type , input_start_text], outputs=output_generated_story)
    button_gen_images.click(fn=generate_images, inputs=output_generated_story, outputs=output_gallery)
    button_gen_video.click(fn=generate_interpolation, inputs=output_gallery, outputs=output_interpolation)

demo.launch(debug=True)