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# gradio_interface.py
import gradio as gr
import modal
from config.config import prompts, models_modal # Indirect import
#from img_gen import generate_image
print("Hello from gradio_interface_head!")
# Modal remote function synchronously
def generate(prompt_dropdown, team_dropdown, model_dropdown, custom_prompt_input, cpu_gpu ="GPU"):
# Debug:
debug_message = f"Debug: Button clicked! Inputs - Prompt: {prompt_dropdown}, Team: {team_dropdown}, Model: {model_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")
# Import the remote function
image_path, message = f.remote(
prompt_dropdown,
team_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 ==========")
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"])
character_dropdown = gr.Dropdown(choices=["Beast only", "Wizard", "Warrior"], label="Select Character", value="Beast only")
model_dropdown = gr.Dropdown(choices=[m["alias"] for m in models_modal], label="Select Model", value=models_modal[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)
# Import the remote function
f = modal.Function.from_name("img-gen-modal-gpu", "generate_image")
# Connect the button to the function
generate_button.click(
generate,
inputs=[prompt_dropdown,
custom_prompt_input,
character_dropdown,
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() |