gradio_interface.py

# gradio_interface.py
import gradio as gr
from img_gen_logic import generate_image  # Direct import
from config import prompts, models  # Direct import

def generate(prompt_alias, team, model_alias, custom_prompt, height=360, width=640, num_inference_steps=20, guidance_scale=2.0, seed=-1):
    try:
        # Generate the image
        image_path, message = generate_image(prompt_alias, team, model_alias, custom_prompt, height, width, num_inference_steps, guidance_scale, seed)
        return image_path, message
    except Exception as e:
        return None, f"An error occurred: {e}"

# Gradio Interface
with gr.Blocks() as demo:
    gr.Markdown("# CtB AI Image Generator")
    with gr.Row():
        # Set default values for dropdowns
        prompt_dropdown = gr.Dropdown(choices=[p["alias"] for p in prompts], label="Select Prompt", value=prompts[0]["alias"])
        team_dropdown = gr.Dropdown(choices=["Red", "Blue"], label="Select Team", value="Red")
        model_dropdown = gr.Dropdown(choices=[m["alias"] for m in models], label="Select Model", value=models[0]["alias"])
    with gr.Row():
        # Add a text box for custom user input (max 200 characters)
        custom_prompt_input = gr.Textbox(label="Custom Prompt (Optional)", placeholder="Enter additional details (max 200 chars)...", max_lines=1, max_length=200)
    with gr.Row():
        generate_button = gr.Button("Generate Image")
    with gr.Row():
        output_image = gr.Image(label="Generated Image")
    with gr.Row():
        status_text = gr.Textbox(label="Status", placeholder="Waiting for input...", interactive=False)

    # Connect the button to the function
    generate_button.click(
        generate,
        inputs=[prompt_dropdown, team_dropdown, model_dropdown, custom_prompt_input],
        outputs=[output_image, status_text]
    )