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import requests | |
import gradio as gr | |
from PIL import Image | |
import io | |
import os | |
# API settings | |
API_URL = "https://api-inference.huggingface.co/models/e-n-v-y/envy-floorplans-xl-01" | |
headers = {"Authorization": f"Bearer {os.getenv('HF_API_KEY')}"} | |
def query(payload): | |
response = requests.post(API_URL, headers=headers, json=payload) | |
return response.content | |
def generate_room_plan(prompt): | |
image_bytes = query({"inputs": prompt}) | |
# Convert the byte content to an image | |
image = Image.open(io.BytesIO(image_bytes)) | |
return image | |
with gr.Blocks() as app: | |
gr.Markdown("# Room Plan Generator") | |
with gr.Row(): | |
user_prompt = gr.Textbox(label="Enter your prompt for the room plan") | |
output = gr.Image(label="Generated Room Plan") | |
gr.Button("Generate Room Plan").click( | |
generate_room_plan, | |
inputs=[user_prompt], | |
outputs=output | |
) | |
app.launch() | |