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| # app_local.py | |
| import gradio as gr | |
| from config.config import models, prompts, api_token # Direct import | |
| from src.img_gen_local import generate_image | |
| # Gradio Interface | |
| def gradio_interface(): | |
| with gr.Blocks(css=""" | |
| .output-image img { | |
| width: 2500px; /* Force image to fill container width */ | |
| object-fit: cover; /* ACTIVATE FOR IMAGE-FIT CONTAINER */ | |
| } | |
| """) as demo: | |
| gr.Markdown("# CtB AI Image Generator - local version") | |
| 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(elem_classes="output-image", label="Generated Image", show_label=False, scale=1, width="100%") | |
| 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_image, | |
| inputs=[prompt_dropdown, | |
| team_dropdown, | |
| custom_prompt_input, | |
| #model_dropdown, | |
| ], | |
| outputs=[output_image, status_text] | |
| ) | |
| return demo | |
| # Create the demo instance | |
| demo = gradio_interface() | |
| # Only launch if running directly | |
| if __name__ == "__main__": | |
| demo.queue().launch() |