app.py

import gradio as gr
import requests
from PIL import Image
import io
import PIL
import os

from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
headers = os.getenv("SEECRET_TOKEN")

def generate_image(prompt):
    response = requests.post(API_URL, headers=headers, json={"inputs": prompt})
    
    if response.status_code == 200:
        image_bytes = response.content
        
        try:
            image = Image.open(io.BytesIO(image_bytes))
            return image
        except PIL.UnidentifiedImageError as e:
            return None
    else:
        return None

iface = gr.Interface(
    fn=generate_image,
    inputs="text",
    outputs="image",
    title="🌄 Prompt to Image Generator 🌄",
    description="Generate stunning images from your prompts using an AI model.",
    layout="wide",
    theme="huggingface",
    examples=[
        ["A surreal painting of a floating city at sunset"],
        ["An abstract landscape with vibrant colors and geometric shapes"]
    ]
)
iface.launch()