from diffusers import DiffusionPipeline import os import requests def generate_design_image(prompt): """ Generate a design image using Hugging Face Diffusers' Stable Diffusion pipeline. """ try: # Load Stable Diffusion pipeline pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2") pipe.to("cpu") # Ensure CPU usage for compatibility with Hugging Face free-tier # Generate the image image = pipe(prompt).images[0] # Save the image locally (optional) output_path = "generated_image.png" image.save(output_path) # Return the local image path for display return output_path except Exception as e: return f"Error: Failed to generate design image. {str(e)}" import requests import os def create_figma_template(task_description): """ Create a design template using Figma API. """ # Get the Figma API key from environment variables FIGMA_API_KEY = os.getenv("FIGMA_API_KEY") if not FIGMA_API_KEY: return "Error: Missing FIGMA_API_KEY in environment variables." # Specify the Figma file key (replace with a valid file key from your Figma account) file_key = "figd_MmKjOOzY45ubfU2sIR9ZTCv5SM8mbDq1aN9x2F9h" # Replace this with your actual Figma file key url = f"https://api.figma.com/v1/files/{file_key}" # Endpoint requires a file key headers = {"Authorization": f"Bearer {FIGMA_API_KEY}"} try: # Make the API call response = requests.get(url, headers=headers) response.raise_for_status() # Raise an error for HTTP status codes 4xx/5xx # Parse the response data = response.json() if "document" in data: # Return the Figma file's public link return f"https://www.figma.com/file/{file_key}" else: return f"Error: No valid response received. Response: {data}" except requests.exceptions.RequestException as e: return f"Error: Failed to connect to Figma API. {str(e)}" except Exception as e: return f"Error: An unexpected error occurred. {str(e)}"