import streamlit as st
import requests
import io
from PIL import Image
import os

# API Configuration
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
headers = {"Authorization": f"Bearer {os.getenv('HF')}"}

# Function to query the Hugging Face API
def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.content

# Streamlit UI
st.title("AI Image Generator 🎨🚀")
st.write("Enter a prompt below and generate an AI-generated image using Hugging Face!")

# User Input
prompt = st.text_input("Enter your prompt:", "Astronaut riding a horse")

if st.button("Generate Image"):
    if prompt:
        st.write("Generating image... Please wait ⏳")
        image_bytes = query({"inputs": prompt})

        # Display Image
        image = Image.open(io.BytesIO(image_bytes))
        st.image(image, caption="Generated Image", use_container_width=True)

        # Convert Image to Bytes for Download
        img_buffer = io.BytesIO()
        image.save(img_buffer, format="PNG")
        img_buffer.seek(0)

        # Download Button
        st.download_button(
            label="Download Image 📥",
            data=img_buffer,
            file_name="generated_image.png",
            mime="image/png"
        )
    else:
        st.warning("Please enter a prompt before generating an image.")

# Footer
st.write("---")
st.write("Powered by [Hugging Face](https://huggingface.co/) 🚀")