# gradio_interface.py import gradio as gr import modal from config.models import models_modal # Indirect import #from img_gen import generate_image print("Hello from gradio_interface_head!") # Modal remote function synchronously def generate(adventurer_id, #prompt_dropdown, #character_dropdown, scene_dropdown, #model_dropdown, custom_prompt_input, cpu_gpu ="GPU", ): # Debug: debug_message = f"Debug: Button clicked! Inputs - ID: {adventurer_id}, Scene: {scene_dropdown}, Custom Prompt: {custom_prompt_input}" print(debug_message) # Print to console for debugging try: # Check for CPU/GPU dropdown option if cpu_gpu == "GPU": f = modal.Function.from_name("LS-img-gen-modal", "generate_image_gpu") else: f = modal.Function.from_name("LS-img-gen-modal", "generate_image_cpu") print ("Sending to external function") # Import the remote function image_path, message = f.remote( adventurer_id, #prompt_dropdown, #character_dropdown, scene_dropdown, #model_dropdown, custom_prompt_input, ) return image_path, message except Exception as e: return None, f"Error calling generate_image function: {e}" # 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 ========== modal GPU") 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, 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, 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, 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, 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, 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()