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

uid = uuid.uuid4()
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);
    }"""

# Function to download video from URL
def dl(inp):
    out = None
    try:
        inp_out = inp.replace("https://", "").replace("/", "_").replace(".", "_").replace("=", "_").replace("?", "_")
        video_path = f"{uid}/{inp_out}.mp4"

        if "twitter" in inp:
            os.system(f'yt-dlp "{inp}" --extractor-arg "twitter:api=syndication" --trim-filenames 160 -o "{video_path}" -S res,mp4 --recode mp4')
        else:
            os.system(f'yt-dlp "{inp}" --trim-filenames 160 -o "{video_path}" -S res,mp4 --recode mp4')

        # Verify video download
        if not os.path.exists(video_path):
            print(f"Downloaded video {video_path} does not exist.")
            return None, gr.HTML("Download failed."), "", ""
        if os.path.getsize(video_path) == 0:
            print(f"Downloaded video {video_path} is empty.")
            return None, gr.HTML("Downloaded video is empty."), "", ""

        out = video_path
        print(f"Video downloaded successfully: {out}")
    except Exception as e:
        print(f"Error downloading video: {e}")
    return out, gr.HTML(""), "", ""

# Function to process video frames
def process_vid(file, cur_frame, every_n):
    if not file:
        return gr.HTML("No video file provided."), "", ""

    new_video_in = str(file)
    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
                capture.set(cv2.CAP_PROP_POS_FRAMES, i)
                ret, frame_f = capture.read()

                # Validate frame read
                if not ret or frame_f is None:
                    print(f"Failed to read frame at index {i}.")
                    continue

                # Check if frame is empty
                if frame_f.size == 0:
                    print(f"Frame at index {i} is empty.")
                    continue

                frame_path = f"{uid}-vid_tmp{i}.png"
                cv2.imwrite(frame_path, frame_f)
                out = os.path.abspath(frame_path)
                out_url = f'https://nymbo-reverse-image.hf.space/file={out}'
                print(f"Frame saved: {out}")

                # Perform reverse image search
                res = rev_img_searcher.search(out_url)
                if res:
                    out_cnt = 0
                    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'>{search_item.page_url}</a><br>
                        Img: <a href='{search_item.image_url}' target='_blank'>{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(f"Processed frame: {i + 1}")
    except Exception as e:
        return gr.HTML(f'Error during video processing: {e}'), "", ""
    return gr.HTML('No frame matches found.'), "", ""

# Function to process image input
def process_im(file, url):
    if not url.startswith("https://nymbo"):
        return url
    try:
        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
    except Exception as e:
        print(f"Error processing image: {e}")
        return None

# Function to perform reverse image search
def rev_im(image):
    try:
        image = cv2.imread(image)
        if image is None or image.size == 0:
            print("Error: Image is empty or invalid.")
            return gr.HTML("Error: Invalid 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)
        html_out = ""
        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'>{search_item.page_url}</a><br>
            Img: <a href='{search_item.image_url}' target='_blank'>{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}')
    except Exception as e:
        print(f"Error during reverse image search: {e}")
        return gr.HTML(f"Error: {e}")

# Gradio app interface
with gr.Blocks() as app:
    source_tog = gr.Radio(choices=["Image", "Video"], value="Image")
    im_box = gr.Box(visible=True)
    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()
    vid_box = gr.Box(visible=False)
    vid_url = gr.Textbox(label="Video URL")
    vid_url_btn = gr.Button("Load URL")
    inp_vid = gr.Video(label="Search Video")
    every_n = gr.Number(label="Every /nth frame", value=10)
    stat_box = gr.Textbox(label="Status")
    go_btn_vid = gr.Button("Start")
    next_btn = gr.Button("Next")
    html_out = gr.HTML("")

    def shuf(tog):
        return (gr.update(visible=(tog == "Image")), gr.update(visible=(tog == "Video")))

    im_load = load_im_btn.click(lambda url: url, inp_url, inp_im)
    vid_load = vid_url_btn.click(dl, vid_url, [inp_vid, html_out, stat_box])
    vid_proc = go_btn_vid.click(process_vid, [inp_vid, "", every_n], [html_out, stat_box])
    im_proc = go_btn_im.click(rev_im, inp_im, [html_out])
    source_tog.change(shuf, [source_tog], [im_box, vid_box])

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