# app.py # venv w python3.11 from config.config import api_token # Direct import from config.models import models import gradio as gr from src.img_gen import generate_image from metadata.metadata import fetch_metadata import time # Gradio Interface def gradio_interface(): with gr.Blocks(css=""" .gradio-container { background-image: url(''); background-size: cover; background-position: center; } .output-image img { width: 2500px; /* Force image to fill container width */ object-fit: cover; /* ACTIVATE FOR IMAGE-FIT CONTAINER */ } """) as demo: gr.Markdown("# ========== Loot Survivor - AI Image Generator ========== CPU") with gr.Row(): # Set default values for dropdowns #prompt_dropdown = gr.Dropdown(choices=[p["alias"] for p in prompts], label="Select Beast", value=prompts[0]["alias"]) adventurer_id = gr.Number(label="Adventurer ID:") #character_dropdown = gr.Dropdown(choices=["Wizard", "Hunter", "Warrior"], label="Select Character Type", value="Wizard") scene_dropdown1 = gr.Dropdown(choices=["Adventurer Portait", "Encounter", "Beast Portait", "Last Battle", "Loot Bag"], label="Select Scene", value="Adventurer Portait", visible=False ) scene_dropdown2 = gr.Dropdown(choices=["Adventurer Portait", "Encounter", "Beast Portait", "Last Battle", "Loot Bag"], label="Select Scene", value="Beast Portait", visible=False ) scene_dropdown3 = gr.Dropdown(choices=["Adventurer Portait", "Encounter", "Beast Portait", "Last Battle", "Loot Bag"], label="Select Scene", value="Encounter", visible=False ) scene_dropdown4 = gr.Dropdown(choices=["Adventurer Portait", "Encounter", "Beast Portait", "Last Battle", "Loot Bag"], label="Select Scene", value="Last Battle", visible=False ) scene_dropdown5 = gr.Dropdown(choices=["Adventurer Portait", "Encounter", "Beast Portait", "Last Battle", "Final Scene"], label="Select Scene", value="Final Scene", visible=False ) custom_prompt_input = gr.Textbox(label="Custom Prompt (Optional)", placeholder="Enter additional details (max 200 chars)...", max_lines=1, max_length=200) #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) with gr.Row(): generate_button = gr.Button("Generate Image") with gr.Row(): output_image1 = gr.Image(elem_classes="output-image", label="Adventurer Portait", show_label=True, scale=1, width="100%") output_image2 = gr.Image(elem_classes="output-image", label="Beast Portait", show_label=True, scale=1, width="100%") with gr.Row(): output_image3 = gr.Image(elem_classes="output-image", label="Encounter", show_label=True, scale=1, width="100%") output_image4 = gr.Image(elem_classes="output-image", label="Last Battle", show_label=True, scale=1, width="100%") output_image5 = gr.Image(elem_classes="output-image", label="Final Scene", show_label=True, 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=[adventurer_id, #prompt_dropdown, #character_dropdown, scene_dropdown1, #model_dropdown, custom_prompt_input, ], outputs=[output_image1, status_text], show_progress_on=output_image1, ) generate_button.click( generate_image, inputs=[adventurer_id, #prompt_dropdown, #character_dropdown, scene_dropdown2, #model_dropdown, custom_prompt_input, ], outputs=[output_image2, status_text], show_progress_on=output_image2, ) generate_button.click( generate_image, inputs=[adventurer_id, #prompt_dropdown, #character_dropdown, scene_dropdown3, #model_dropdown, custom_prompt_input, ], outputs=[output_image3, status_text], show_progress_on=output_image3, ) generate_button.click( generate_image, inputs=[adventurer_id, #prompt_dropdown, #character_dropdown, scene_dropdown4, #model_dropdown, custom_prompt_input, ], outputs=[output_image4, status_text], show_progress_on=output_image4, ) generate_button.click( generate_image, inputs=[adventurer_id, #prompt_dropdown, #character_dropdown, scene_dropdown5, #model_dropdown, custom_prompt_input, ], outputs=[output_image5, status_text], show_progress_on=output_image5, ) return demo # Create the demo instance demo = gradio_interface() # Only launch if running directly if __name__ == "__main__": demo.queue().launch()