import asyncio import base64 import os import uuid import aiohttp from langchain_google_genai import ChatGoogleGenerativeAI from openai import OpenAI from ppt_generator.models.query_and_prompt_models import ( ImagePromptWithThemeAndAspectRatio, ) from api.utils import get_resource async def generate_image( input: ImagePromptWithThemeAndAspectRatio, output_directory: str, ) -> str: image_prompt = f"{input.image_prompt}, {input.theme_prompt}" print(f"Request - Generating Image for {image_prompt}") try: image_gen_func = ( generate_image_openai if os.getenv("LLM") == "openai" else generate_image_google ) image_path = await image_gen_func(image_prompt, output_directory) if image_path and os.path.exists(image_path): return image_path raise Exception(f"Image not found at {image_path}") except Exception as e: print(f"Error generating image: {e}") return get_resource("assets/images/placeholder.jpg") async def generate_image_openai(prompt: str, output_directory: str) -> str: client = OpenAI() result = await asyncio.to_thread( client.images.generate, model="dall-e-3", prompt=prompt, n=1, quality="standard", size="1024x1024", ) image_url = result.data[0].url async with aiohttp.ClientSession() as session: async with session.get(image_url) as response: image_bytes = await response.read() image_path = os.path.join(output_directory, f"{str(uuid.uuid4())}.jpg") with open(image_path, "wb") as f: f.write(image_bytes) return image_path async def generate_image_google(prompt: str, output_directory: str) -> str: response = await ChatGoogleGenerativeAI( model="gemini-2.0-flash-preview-image-generation" ).ainvoke([prompt], generation_config={"response_modalities": ["TEXT", "IMAGE"]}) image_block = next( block for block in response.content if isinstance(block, dict) and block.get("image_url") ) base64_image = image_block["image_url"].get("url").split(",")[-1] image_path = os.path.join(output_directory, f"{str(uuid.uuid4())}.jpg") with open(image_path, "wb") as f: f.write(base64.b64decode(base64_image)) return image_path