import os import random import re from PIL import Image, ImageDraw, ImageFont from modules.markovmemory import load_markov_model from modules.sentenceprocessing import improve_sentence_coherence, rephrase_for_coherence generated_sentences = set() async def gen_image(sentence_size=5, max_attempts=10): images_folder = "assets/images" image_files = [f for f in os.listdir(images_folder) if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))] if not image_files: return markov_model = load_markov_model() if not markov_model: return def load_font(size): return ImageFont.truetype("assets/fonts/Impact.ttf", size=size) def draw_text_with_outline(draw, text, x, y, font): outline_offsets = [(-2, -2), (-2, 2), (2, -2), (2, 2), (0, -2), (0, 2), (-2, 0), (2, 0)] for ox, oy in outline_offsets: draw.text((x + ox, y + oy), text, font=font, fill="black") draw.text((x, y), text, font=font, fill="white") def text_height(font, text): bbox = draw.textbbox((0, 0), text, font=font) return bbox[3] - bbox[1] def fits_in_width(text, font, max_width): bbox = draw.textbbox((0,0), text, font=font) text_width = bbox[2] - bbox[0] return text_width <= max_width def split_text_to_fit(text, font, max_width): words = text.split() for i in range(len(words), 0, -1): top_text = " ".join(words[:i]) bottom_text = " ".join(words[i:]) if fits_in_width(top_text, font, max_width) and fits_in_width(bottom_text, font, max_width): return top_text, bottom_text midpoint = len(words)//2 return " ".join(words[:midpoint]), " ".join(words[midpoint:]) attempt = 0 while attempt < max_attempts: chosen_image_path = os.path.join(images_folder, random.choice(image_files)) img = Image.open(chosen_image_path).convert("RGBA") draw = ImageDraw.Draw(img) width, height = img.size font_size = int(height / 10) font = load_font(font_size) # Generate text response = None for _ in range(20): if sentence_size == 1: candidate = markov_model.make_short_sentence(max_chars=100, tries=100) if candidate: candidate = candidate.split()[0] else: candidate = markov_model.make_sentence(tries=100, max_words=sentence_size) if candidate and candidate not in generated_sentences: if sentence_size > 1: candidate = improve_sentence_coherence(candidate) generated_sentences.add(candidate) response = candidate break if not response: response = "no text generated" cleaned_response = re.sub(r'[^\w\s]', '', response).lower() coherent_response = rephrase_for_coherence(cleaned_response).upper() bbox = draw.textbbox((0, 0), coherent_response, font=font) text_width = bbox[2] - bbox[0] text_height_px = bbox[3] - bbox[1] max_text_height = height // 4 if text_width <= width and text_height_px <= max_text_height: # Fits on top, draw at y=0 (top) draw_text_with_outline(draw, coherent_response, (width - text_width) / 2, 0, font) img.save("output.png") return top_text, bottom_text = split_text_to_fit(coherent_response, font, width) top_bbox = draw.textbbox((0,0), top_text, font=font) bottom_bbox = draw.textbbox((0,0), bottom_text, font=font) top_height = top_bbox[3] - top_bbox[1] bottom_height = bottom_bbox[3] - bottom_bbox[1] if top_height <= max_text_height and bottom_height <= max_text_height: # top text draw_text_with_outline(draw, top_text, (width - (top_bbox[2]-top_bbox[0])) / 2, 0, font) # bottom text y_bottom = height - bottom_height draw_text_with_outline(draw, bottom_text, (width - (bottom_bbox[2]-bottom_bbox[0])) / 2, y_bottom, font) img.save("output.png") return attempt += 1 # If all attempts fail, cry. truncated = coherent_response[:100] bbox = draw.textbbox((0, 0), truncated, font=font) text_width = bbox[2] - bbox[0] draw_text_with_outline(draw, truncated, (width - text_width) / 2, 0, font) img.save("output.png")