app.py

import streamlit as st
from tungstenkit import models

# Load Tungsten AI model
model = models.get("text-to-image")

# Streamlit app title
st.title("Text to Image Generation with Tungsten AI")

# User input for text
text_input = st.text_area("Enter text for image generation:")

# Generate Image button
if st.button("Generate Image"):
    # Generate image based on input text
    result = model.predict({"prompt": text_input})
    
    # Get the image path from the result
    image_path = result["image"]

    # Display the generated image
    st.image(image_path, caption="Generated Image", use_column_width=True)