import os import cv2 import numpy as np import tempfile import streamlit as st import time st.set_page_config(page_title="Exness Tempering App by Adil Khan") def overlay_image(background, overlay): background_resized = cv2.resize(background, (overlay.shape[1], overlay.shape[0])) alpha_channel = overlay[:, :, 3] / 255.0 for c in range(3): background_resized[:, :, c] = (1 - alpha_channel) * background_resized[:, :, c] + alpha_channel * overlay[:, :, c] return background_resized def image_tempering_app(): st.title("Exness Image Tempering App") cover_option = st.selectbox("Select Video Type:", ["With Banner", "With Multi-Banner", "Without Banner"], index=0) if cover_option == "Without Banner": cover_value = "cover.png" elif cover_option == "With Banner": cover_value = "cover2.png" else: cover_value = "cover3.png" screenshot_image = st.file_uploader("Upload Screenshot Image", type=["jpg", "jpeg", "png"]) if screenshot_image: file_bytes = np.asarray(bytearray(screenshot_image.read()), dtype=np.uint8) image = cv2.imdecode(file_bytes, cv2.IMREAD_UNCHANGED) cover = cv2.imread(cover_value, cv2.IMREAD_UNCHANGED) with st.spinner("Processing Image..."): result = overlay_image(image, cover) temp_filename = tempfile.NamedTemporaryFile(suffix=".png", delete=False).name cv2.imwrite(temp_filename, result) st.success("Image Processing Complete!") st.download_button("Download Processed Image", data=open(temp_filename, "rb").read(), file_name="processed_image.png", mime="image/png") def process_video(video_path, output_path, cover_value): cap = cv2.VideoCapture(video_path) fourcc = cv2.VideoWriter_fourcc(*'mp4v') fps = int(cap.get(cv2.CAP_PROP_FPS)) width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) cover = cv2.imread(cover_value, cv2.IMREAD_UNCHANGED) out = cv2.VideoWriter(output_path, fourcc, fps, (cover.shape[1], cover.shape[0])) progress_bar = st.progress(0) status_text = st.empty() processed_frames = 0 start_time = time.time() while cap.isOpened(): ret, frame = cap.read() if not ret: break frame_resized = cv2.resize(frame, (cover.shape[1], cover.shape[0])) frame_processed = overlay_image(frame_resized, cover) out.write(frame_processed) processed_frames += 1 elapsed_time = time.time() - start_time estimated_total_time = (elapsed_time / processed_frames) * total_frames if processed_frames > 0 else 0 remaining_time = estimated_total_time - elapsed_time progress = int((processed_frames / total_frames) * 100) progress_bar.progress(progress) status_text.text(f"Processing: {progress}% | Estimated Remaining Time: {remaining_time:.2f} sec") cap.release() out.release() status_text.text("Processing Complete!") st.success("Video Processing Complete!") def video_tempering_app(): st.title("Exness Video Tempering App") cover_option = st.selectbox("Select Video Type:", ["With Banner", "With Multi-Banner", "Without Banner"], index=0) if cover_option == "Without Banner": cover_value = "cover.png" elif cover_option == "With Banner": cover_value = "cover2.png" else: cover_value = "cover3.png" screenshot_video = st.file_uploader("Upload Screen Recording", type=["mp4"]) if screenshot_video: temp_video = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") temp_video.write(screenshot_video.read()) output_video = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4").name with st.spinner("Processing video..."): process_video(temp_video.name, output_video, cover_value) st.download_button("Download Processed Video", data=open(output_video, "rb").read(), file_name="processed_video.mp4", mime="video/mp4") def main(): app_selection = st.sidebar.radio("Select App", ("Image Tempering", "Video Tempering")) if app_selection == "Image Tempering": image_tempering_app() elif app_selection == "Video Tempering": video_tempering_app() if __name__ == "__main__": main()