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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)}"
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