app.py

import gradio as gr
from transformers import pipeline

# Load the model with remote code
pipe = pipeline("text-to-image", model="cloudqi/cqi_text_to_image_pt_v0", trust_remote_code=True)

def generate_image(prompt):
    result = pipe(prompt)[0]  # Get the first generated image
    return result

# Create the Gradio interface
demo = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt here..."),
    outputs="image",
    title="Text-to-Image Generator",
    description="Powered by cloudqi/cqi_text_to_image_pt_v0"
)

# Run with public link enabled
demo.launch(share=True)