Bro, this is gonna be a straight‑up beast. Grab a camera, some Pillow magic, and a dash of TikTok vibes, then we’ll drop that neon GIF in no time. Here’s a skeleton you can run and tweak: ``` import cv2 import numpy as np from PIL import Image, ImageDraw, ImageFont import requests import datetime import os # --------- CONFIG ---------- CAMERA_ID = 0 # default webcam GIF_PATH = 'pr.gif' MEME_OVERLAY = 'memes/cheat_day.png' # your meme image FONT_PATH = '/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf' NEON_COLOR = (255, 20, 147) # hot pink neon HASHTAG = '#PRGlowUp' SHARE_API = 'https://api.social.com/post' # placeholder # --------- HELPERS ---------- def capture_frame(): cap = cv2.VideoCapture(CAMERA_ID) ret, frame = cap.read() cap.release() if not ret: raise RuntimeError('Camera feed failed') return cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) def neon_effect(img): # simple neon glow by Gaussian blur + blend blurred = cv2.GaussianBlur(img, (0,0), sigmaX=15, sigmaY=15) neon = cv2.addWeighted(img, 0.3, blurred, 0.7, 0) return neon def add_meme(frame): meme = Image.open(MEME_OVERLAY).convert('RGBA') pil = Image.fromarray(frame).convert('RGBA') pil.paste(meme, (pil.width - meme.width - 20, 20), meme) return np.array(pil) def generate_gif(frames, out_path, duration=500): pil_frames = [Image.fromarray(f) for f in frames] pil_frames[0].save(out_path, save_all=True, append_images=pil_frames[1:], duration=duration, loop=0) def share_on_social(gif_path): with open(gif_path, 'rb') as f: files = {'file': (os.path.basename(gif_path), f, 'image/gif')} data = {'caption': f'New PR! {HASHTAG} {datetime.datetime.now().strftime("%Y-%m-%d")}'} # just a stub – replace with actual API calls requests.post(SHARE_API, files=files, data=data) def suggest_next_target(prev_reps): # simple linear progression: +2 reps or +5% weight return prev_reps + 2 # --------- MAIN LOOP ---------- def run_workout_tracker(prev_reps): print('Lifting... Capture frame for your neon PR') frame = capture_frame() neon = neon_effect(frame) meme_frame = add_meme(neon) generate_gif([neon, meme_frame], GIF_PATH) print(f'GIF saved to {GIF_PATH} – time to shine!') share_on_social(GIF_PATH) next_target = suggest_next_target(prev_reps) print(f'Next target: {next_target} reps') return next_target # --------- EXAMPLE USAGE ---------- if __name__ == '__main__': last_reps = 8 # you finished 8 reps last time new_target = run_workout_tracker(last_reps) # Store new_target somewhere for your next set ``` **How it works** 1. Capture a frame from your webcam when you finish a set. 2. Apply a neon glow (gaussian blur + blend). 3. Overlay a meme image (keep it big and bold). 4. Stack the raw and meme frames into a GIF. 5. Hit a dummy social API with a caption and hashtag. 6. Suggest a new rep target based on a simple +2 logic. Add your own filter tweak – e.g., change `NEON_COLOR` or play with the blur radius. Keep the meme file large so it pops. Upload the GIF to your feed, brag about that PR, and repeat. You’re all set to crush both code and gym. Remember: the more reps, the more neon. Let's flex!