File size: 6,429 Bytes
aead09a
376ca7c
1ce9878
d82da04
7716718
2255cf1
376ca7c
e8f283e
049ffe7
376ca7c
 
049ffe7
376ca7c
049ffe7
376ca7c
 
 
 
 
 
049ffe7
bf17c4e
a8f7368
ac2b487
a8f7368
376ca7c
2b65731
376ca7c
 
 
 
 
049ffe7
ac2b487
049ffe7
 
04d0121
049ffe7
04d0121
049ffe7
 
 
376ca7c
049ffe7
04d0121
 
049ffe7
04d0121
376ca7c
 
04d0121
049ffe7
d4e29c7
dc9ebd1
376ca7c
d4e29c7
049ffe7
 
 
 
376ca7c
 
 
2b65731
376ca7c
 
ac2b487
049ffe7
376ca7c
ac2b487
049ffe7
 
ac2b487
2b65731
f17dc4f
 
2b65731
 
376ca7c
 
 
599424e
376ca7c
 
 
d82da04
049ffe7
319e8a0
dc9ebd1
f17dc4f
04d0121
 
 
 
 
049ffe7
c558940
dc9ebd1
049ffe7
 
376ca7c
 
 
f17dc4f
 
 
 
 
 
 
049ffe7
 
f17dc4f
 
 
 
 
 
376ca7c
049ffe7
04d0121
f17dc4f
 
 
 
049ffe7
f17dc4f
049ffe7
 
 
376ca7c
f17dc4f
049ffe7
 
 
f17dc4f
049ffe7
 
f17dc4f
049ffe7
 
376ca7c
049ffe7
f17dc4f
049ffe7
f17dc4f
049ffe7
 
2b65731
376ca7c
 
f17dc4f
 
376ca7c
049ffe7
 
 
 
 
 
 
ac2b487
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
import gradio as gr
import requests
import yt_dlp
import cv2
from google_img_source_search import ReverseImageSearcher
from PIL import Image
import os
import uuid

# Unique identifier for files
uid = uuid.uuid4()

# JavaScript for displaying image dimensions
size_js = """
    function imgSize(){
        var myImg = document.getElementsByClassName("my_im");
        var realWidth = myImg.naturalWidth;
        var realHeight = myImg.naturalHeight;
        alert("Original width=" + realWidth + ", " + "Original height=" + realHeight);
    }
"""

def dl(inp):
    out = None
    try:
        inp_out = inp.replace("https://", "").replace("/", "_").replace(".", "_").replace("=", "_").replace("?", "_")
        if "twitter" in inp:
            os.system(f'yt-dlp "{inp}" --extractor-arg "twitter:api=syndication" --trim-filenames 160 -o "{uid}/{inp_out}.mp4" -S res,mp4 --recode mp4')
        else:
            os.system(f'yt-dlp "{inp}" --trim-filenames 160 -o "{uid}/{inp_out}.mp4" -S res,mp4 --recode mp4')
        
        out = f"{uid}/{inp_out}.mp4"
        print(out)
    except Exception as e:
        print(e)
    return out, gr.HTML(""), "", ""

def process_vid(file, cur_frame, every_n):
    new_video_in = str(file)
    if not os.path.isfile(new_video_in):
        print(f"Video file {new_video_in} does not exist.")
        return (gr.HTML('Video file not found.'), "", "")
    
    capture = cv2.VideoCapture(new_video_in)
    frame_count = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
    rev_img_searcher = ReverseImageSearcher()
    html_out = ""
    count = int(every_n)
    start_frame = int(cur_frame) if cur_frame else 0
    
    try:
        for i in range(start_frame, frame_count - 1):
            if count == int(every_n):
                count = 1
                print(i)
                capture.set(cv2.CAP_PROP_POS_FRAMES, i)
                ret, frame_f = capture.read()
                if not ret:
                    print(f"Failed to read frame {i}")
                    continue
                
                cv2.imwrite(f"{uid}-vid_tmp{i}.png", frame_f)
                out = os.path.abspath(f"{uid}-vid_tmp{i}.png")
                out_url = f'https://nymbo-reverse-image.hf.space/file={out}'
                print(out)
                
                res = rev_img_searcher.search(out_url)
                out_cnt = 0
                if res:
                    for search_item in res:
                        out_cnt += 1
                        html_out += f"""
                        <div>
                        Title: {search_item.page_title}<br>
                        Site: <a href='{search_item.page_url}' target='_blank' rel='noopener noreferrer'>{search_item.page_url}</a><br>
                        Img: <a href='{search_item.image_url}' target='_blank' rel='noopener noreferrer'>{search_item.image_url}</a><br>
                        <img class='my_im' src='{search_item.image_url}'><br>
                        </div>"""
                    return gr.HTML(f'<h1>Total Found: {out_cnt}</h1><br>{html_out}'), f"Found frame: {i}", i + int(every_n)
            count += 1
            print(i + 1)
    except Exception as e:
        return gr.HTML(f'{e}'), "", ""
    
    return gr.HTML('No frame matches found.'), "", ""

def process_im(file, url):
    if not url.startswith("https://nymbo"):
        return url
    else:
        read_file = Image.open(file)
        read_file.save(f"{uid}-tmp.png")
        action_input = f"{uid}-tmp.png"
        out = os.path.abspath(action_input)
        out_url = f'https://nymbo-reverse-image.hf.space/file={out}'
        return out_url

def rev_im(image):
    html_out = ""
    image = cv2.imread(image)
    if image is None:
        return gr.HTML("Failed to load image.")
    
    cv2.imwrite(f"{uid}-im_tmp.png", image)
    out = os.path.abspath(f"{uid}-im_tmp.png")
    out_url = f'https://nymbo-reverse-image.hf.space/file={out}'    
    rev_img_searcher = ReverseImageSearcher()
    res = rev_img_searcher.search(out_url)
    count = 0
    for search_item in res:
        count += 1
        html_out += f"""
        <div>
        Title: {search_item.page_title}<br>
        Site: <a href='{search_item.page_url}' target='_blank' rel='noopener noreferrer'>{search_item.page_url}</a><br>
        Img: <a href='{search_item.image_url}' target='_blank' rel='noopener noreferrer'>{search_item.image_url}</a><br>
        <img class='my_im' src='{search_item.image_url}'><br>
        </div>"""
        
    return gr.HTML(f'<h1>Total Found: {count}</h1><br>{html_out}')

with gr.Blocks() as app:
    with gr.Row():
        gr.Column()
        with gr.Column():
            source_tog = gr.Radio(choices=["Image", "Video"], value="Image")
            with gr.Box(visible=True) as im_box:
                inp_url = gr.Textbox(label="Image URL")
                load_im_btn = gr.Button("Load Image")
                inp_im = gr.Image(label="Search Image", type='filepath')
                go_btn_im = gr.Button()
            with gr.Box(visible=False) as vid_box:
                vid_url = gr.Textbox(label="Video URL")
                vid_url_btn = gr.Button("Load URL")
                inp_vid = gr.Video(label="Search Video")
                with gr.Row():
                    every_n = gr.Number(label="Every /nth frame", value=10)
                stat_box = gr.Textbox(label="Status")
                with gr.Row():
                    go_btn_vid = gr.Button("Start")
                    next_btn = gr.Button("Next")
                
        gr.Column()
    with gr.Row():
        html_out = gr.HTML("")
    with gr.Row(visible=False):
        hid_box = gr.Textbox()

    def shuf(tog):
        return (gr.update(visible=True), gr.update(visible=False)) if tog == "Image" else (gr.update(visible=False), gr.update(visible=True))
    
    def load_image(url):
        return url
    
    im_load = load_im_btn.click(load_image, inp_url, inp_im)
    next_btn.click(process_vid, [inp_vid, hid_box, every_n], [html_out, stat_box, hid_box])
    vid_load = vid_url_btn.click(dl, vid_url, [inp_vid, html_out, stat_box, hid_box])
    vid_proc = go_btn_vid.click(process_vid, [inp_vid, hid_box, every_n], [html_out, stat_box, hid_box])
    im_proc = go_btn_im.click(rev_im, inp_im, [html_out])
    source_tog.change(shuf, [source_tog], [im_box, vid_box], cancels=[vid_proc, im_proc, im_load, vid_load])

app.queue(concurrency_count=20).launch()