app.py

from __future__ import annotations
import gradio as gr
import os
import cv2
import numpy as np
from PIL import Image
from moviepy.editor import *
from share_btn import community_icon_html, loading_icon_html, share_js

import pathlib
import shlex
import subprocess

if os.getenv('SYSTEM') == 'spaces':
    with open('patch') as f:
        subprocess.run(shlex.split('patch -p1'), stdin=f, cwd='ControlNet')

base_url = 'https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/'

names = [
    'body_pose_model.pth',
    'dpt_hybrid-midas-501f0c75.pt',
    'hand_pose_model.pth',
    'mlsd_large_512_fp32.pth',
    'mlsd_tiny_512_fp32.pth',
    'network-bsds500.pth',
    'upernet_global_small.pth',
]

for name in names:
    command = f'wget https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/{name} -O {name}'
    out_path = pathlib.Path(f'ControlNet/annotator/ckpts/{name}')
    if out_path.exists():
        continue
    subprocess.run(shlex.split(command), cwd='ControlNet/annotator/ckpts/')

from model import Model
model = Model()


def controlnet(i, prompt, seed_in):
    a_prompt = "best quality, extremely detailed"
    n_prompt = "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"
    num_samples = 1
    image_resolution = 512
    detect_resolution = 512
    ddim_steps = 20
    scale = 9.0
    eta = 0.0
    
    result = model.process_pose(i, prompt, a_prompt, n_prompt, num_samples,
            image_resolution, detect_resolution, ddim_steps, scale, seed_in, eta)
    print(result)
    return 'done'


def get_frames(video_in):
    frames = []
    #resize the video
    clip = VideoFileClip(video_in)
    
    #check fps
    if clip.fps > 30:
        print("vide rate is over 30, resetting to 30")
        clip_resized = clip.resize(height=512)
        clip_resized.write_videofile("video_resized.mp4", fps=30)
    else:
        print("video rate is OK")
        clip_resized = clip.resize(height=512)
        clip_resized.write_videofile("video_resized.mp4", fps=clip.fps)
    
    print("video resized to 512 height")
    
    # Opens the Video file with CV2
    cap= cv2.VideoCapture("video_resized.mp4")
    
    fps = cap.get(cv2.CAP_PROP_FPS)
    print("video fps: " + str(fps))
    i=0
    while(cap.isOpened()):
        ret, frame = cap.read()
        if ret == False:
            break
        cv2.imwrite('kang'+str(i)+'.jpg',frame)
        frames.append('kang'+str(i)+'.jpg')
        i+=1
    
    cap.release()
    cv2.destroyAllWindows()
    print("broke the video into frames")
    
    return frames, fps


def create_video(frames, fps):
    print("building video result")
    clip = ImageSequenceClip(frames, fps=fps)
    clip.write_videofile("movie.mp4", fps=fps)
    
    return 'movie.mp4'


def infer(prompt,video_in, seed_in, trim_value):
    print(f"""
    ———————————————
    {prompt}
    ———————————————""")
    
    # 1. break video into frames and get FPS
    break_vid = get_frames(video_in)
    frames_list= break_vid[0]
    fps = break_vid[1]
    n_frame = int(trim_value*fps)
    
    if n_frame >= len(frames_list):
        print("video is shorter than the cut value")
        n_frame = len(frames_list)
    
    # 2. prepare frames result array
    result_frames = []
    print("set stop frames to: " + str(n_frame))
    
    for i in frames_list[0:int(n_frame)]:
        controlnet_img = controlnet(i, prompt, seed_in)
        #images = controlnet_img[0]
        #rgb_im = images[0].convert("RGB")
  
        # exporting the image
        #rgb_im.save(f"result_img-{i}.jpg")
        #result_frames.append(f"result_img-{i}.jpg")
        #print("frame " + i + "/" + str(n_frame) + ": done;")

    #final_vid = create_video(result_frames, fps)
    print("finished !")
    
    #return final_vid, gr.Group.update(visible=True)
    return controlnet_img

title = """
    <div style="text-align: center; max-width: 700px; margin: 0 auto;">
        <div
        style="
            display: inline-flex;
            align-items: center;
            gap: 0.8rem;
            font-size: 1.75rem;
        "
        >
        <h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
            Pix2Pix Video
        </h1>
        </div>
        <p style="margin-bottom: 10px; font-size: 94%">
        Apply Instruct Pix2Pix Diffusion to a video 
        </p>
    </div>
"""

article = """
    
    <div class="footer">
        <p>
        Examples by <a href="https://twitter.com/CitizenPlain" target="_blank">Nathan Shipley</a> •&nbsp;
        Follow <a href="https://twitter.com/fffiloni" target="_blank">Sylvain Filoni</a> for future updates 🤗
        </p>
    </div>
    <div id="may-like-container" style="display: flex;justify-content: center;flex-direction: column;align-items: center;margin-bottom: 30px;">
        <p>You may also like: </p>
        <div id="may-like-content" style="display:flex;flex-wrap: wrap;align-items:center;height:20px;">
            
            <svg height="20" width="162" style="margin-left:4px;margin-bottom: 6px;">       
                 <a href="https://huggingface.co/spaces/timbrooks/instruct-pix2pix" target="_blank">
                    <image href="https://img.shields.io/badge/🤗 Spaces-Instruct_Pix2Pix-blue" src="https://img.shields.io/badge/🤗 Spaces-Instruct_Pix2Pix-blue.png" height="20"/>
                 </a>
            </svg>
            
        </div>
    
    </div>
    
"""

with gr.Blocks(css='style.css') as demo:
    with gr.Column(elem_id="col-container"):
        gr.HTML(title)
        with gr.Row():
            with gr.Column():
                video_inp = gr.Video(label="Video source", source="upload", type="filepath", elem_id="input-vid")
                prompt = gr.Textbox(label="Prompt", placeholder="enter prompt", show_label=False, elem_id="prompt-in")
                with gr.Row():
                    seed_inp = gr.Slider(label="Seed", minimum=0, maximum=2147483647, step=1, value=123456)
                    trim_in = gr.Slider(label="Cut video at (s)", minimun=1, maximum=5, step=1, value=1)
            with gr.Column():
                status = gr.Textbox()
                video_out = gr.Video(label="Pix2pix video result", elem_id="video-output")
                gr.HTML("""
                <a style="display:inline-block" href="https://huggingface.co/spaces/fffiloni/Pix2Pix-Video?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a> 
                work with longer videos / skip the queue: 
                """, elem_id="duplicate-container")
                submit_btn = gr.Button("Generate Pix2Pix video")

                with gr.Group(elem_id="share-btn-container", visible=False) as share_group:
                    community_icon = gr.HTML(community_icon_html)
                    loading_icon = gr.HTML(loading_icon_html)
                    share_button = gr.Button("Share to community", elem_id="share-btn")
        
        inputs = [prompt,video_inp,seed_inp, trim_in]
        #outputs = [video_out, share_group]
        outputs = [status]
        
        
        gr.HTML(article)
    
    submit_btn.click(infer, inputs, outputs)
    share_button.click(None, [], [], _js=share_js)

    
    
demo.launch().queue(max_size=12)