main.py

from flask import Flask, render_template, request, redirect, url_for
import os
from datetime import datetime
import json
from time import time as current_time
import importlib

app = Flask(__name__)

UPLOAD_FOLDER = 'static/videos'
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER

@app.route('/')
def index():
    return render_template('index.html')

# Handle file upload and redirect to the result page
@app.route('/upload', methods=['POST'])
def upload_file():
    if 'file' not in request.files:
        return redirect(request.url)

    file = request.files['file']

    if file.filename == '':
        return redirect(request.url)

    if file:
        timestamp = int(current_time())
        filename = f"uploaded_video_{timestamp}.mp4"
        video_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
        file.save(video_path)

        video_path2 = os.path.join(app.config['UPLOAD_FOLDER'], "1" + filename)

        module = importlib.import_module("deepfake_detector")
        function = getattr(module, "run")

        result_from_det = function(video_path ,video_path2)
        print(result_from_det)

        # Get video information
        video_info = {
            'name': file.filename,
            'size': f"{os.path.getsize(video_path) / (1024):.2f} KB",
            'user': 'Guest', 
            'source': datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S UTC'),
            'per': result_from_det
        }

        video_info_json = json.dumps(video_info)

        # Redirect to the result page with the video information
        return redirect(url_for('result', video_info=video_info_json, video_path2=video_path2))

@app.route('/result')
def result():
    video_info_json = request.args.get('video_info')
    video_path2 = request.args.get('video_path2')  
    print(video_path2)

    video_info = json.loads(video_info_json)
    print(video_info['name'])

    return render_template('result.html', video_url=video_path2, video_info=video_info)

if __name__ == '__main__':
    app.run(debug=True)