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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()
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