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#!/usr/bin/env python3
"""
UI Components for BackgroundFX Pro
Complete interface with all features
"""
import gradio as gr
import os
# Background style choices
BG_STYLES = ["minimalist", "office_modern", "studio_blue", "studio_green", "warm_gradient", "tech_dark"]
def create_interface():
"""Create the full BackgroundFX Pro interface"""
# Import callbacks inside function to avoid circular imports
from ui.callbacks import (
cb_load_models,
cb_process_video,
cb_cancel,
cb_status,
cb_clear,
cb_generate_bg,
cb_use_gen_bg,
cb_preset_bg_preview,
)
with gr.Blocks(title="🎬 BackgroundFX Pro", theme=gr.themes.Soft()) as demo:
gr.Markdown(
"""
# 🎬 BackgroundFX Pro
### AI-Powered Video Background Replacement
Replace your video background with professional quality using SAM2 + MatAnyone
"""
)
with gr.Tabs():
# Main Processing Tab
with gr.Tab("🎥 Process Video"):
with gr.Row():
# Left Column - Inputs
with gr.Column(scale=1):
video_input = gr.Video(
label="Upload Video",
interactive=True
)
gr.Markdown("### Background Settings")
bg_method = gr.Radio(
label="Background Source",
choices=[
"Preset Styles",
"Upload Custom",
"Generate AI Background"
],
value="Preset Styles"
)
# Preset styles
with gr.Group(visible=True) as preset_group:
bg_style = gr.Dropdown(
label="Background Style",
choices=BG_STYLES,
value="minimalist"
)
preset_preview = gr.Image(
label="Preview",
interactive=False,
height=200
)
# Custom upload
with gr.Group(visible=False) as upload_group:
custom_bg = gr.Image(
label="Upload Background Image",
type="filepath",
interactive=True
)
# AI Generation
with gr.Group(visible=False) as generate_group:
prompt = gr.Textbox(
label="Describe Background",
value="modern office space",
placeholder="e.g., 'warm sunset studio', 'minimalist white room'"
)
with gr.Row():
gen_width = gr.Slider(640, 1920, 1280, step=10, label="Width")
gen_height = gr.Slider(360, 1080, 720, step=10, label="Height")
with gr.Row():
bokeh = gr.Slider(0, 30, 8, step=1, label="Blur")
vignette = gr.Slider(0, 0.6, 0.15, step=0.01, label="Vignette")
btn_generate = gr.Button("✨ Generate Background", variant="secondary")
gen_preview = gr.Image(label="Generated Background", interactive=False)
gen_path = gr.Textbox(visible=False)
btn_use_generated = gr.Button("Use This Background", variant="secondary")
# Processing Options
with gr.Accordion("⚙️ Advanced Options", open=False):
use_two_stage = gr.Checkbox(
label="Use Two-Stage Processing",
value=True,
info="Better quality but slower"
)
chroma_preset = gr.Dropdown(
label="Chroma Preset",
choices=["standard"],
value="standard"
)
key_color = gr.Dropdown(
label="Key Color Mode",
choices=["auto", "green", "blue"],
value="auto"
)
quality = gr.Radio(
label="Quality",
choices=["speed", "balanced", "max"],
value="balanced"
)
# Action Buttons
gr.Markdown("### Actions")
with gr.Row():
btn_load = gr.Button("📦 Load Models", variant="secondary", scale=1)
btn_process = gr.Button("🎬 Process Video", variant="primary", scale=2)
with gr.Row():
btn_cancel = gr.Button("⏹ Cancel", variant="stop")
btn_clear = gr.Button("🗑️ Clear All")
# Right Column - Outputs
with gr.Column(scale=1):
video_output = gr.Video(
label="Processed Video",
interactive=False
)
status = gr.Textbox(
label="Status",
lines=8,
max_lines=12,
interactive=False
)
with gr.Row():
processing_time = gr.Textbox(
label="Processing Time",
interactive=False
)
quality_info = gr.Textbox(
label="Quality Mode",
interactive=False
)
# Status Tab
with gr.Tab("📊 System Status"):
with gr.Row():
with gr.Column():
gr.Markdown("### Model Status")
model_status = gr.JSON(label="Models")
with gr.Column():
gr.Markdown("### System Info")
system_status = gr.JSON(label="System")
btn_refresh_status = gr.Button("🔄 Refresh Status")
# Wire up all the callbacks
# Background method switching
def switch_bg_method(method):
return (
gr.update(visible=(method == "Preset Styles")),
gr.update(visible=(method == "Upload Custom")),
gr.update(visible=(method == "Generate AI Background"))
)
bg_method.change(
switch_bg_method,
inputs=[bg_method],
outputs=[preset_group, upload_group, generate_group]
)
# Preset preview
bg_style.change(
cb_preset_bg_preview,
inputs=[bg_style],
outputs=[preset_preview]
)
# AI Generation
btn_generate.click(
cb_generate_bg,
inputs=[prompt, gen_width, gen_height, bokeh, vignette, gr.State(1.0)],
outputs=[gen_preview, gen_path]
)
btn_use_generated.click(
cb_use_gen_bg,
inputs=[gen_path],
outputs=[custom_bg]
)
# Main actions
btn_load.click(
cb_load_models,
outputs=[status]
)
# Process with proper background selection
def process_with_bg(video, method, style, custom, gen_path, two_stage, chroma, key, quality):
# Set quality environment variable
os.environ["BFX_QUALITY"] = quality.lower()
# Determine which background to use
if method == "Upload Custom":
bg_choice = "custom"
bg_path = custom
elif method == "Generate AI Background":
bg_choice = "custom"
bg_path = gen_path
else: # Preset Styles
bg_choice = style
bg_path = None
return cb_process_video(
video, bg_choice, bg_path, two_stage,
chroma, key, False, False
)
btn_process.click(
process_with_bg,
inputs=[
video_input, bg_method, bg_style, custom_bg,
gen_path, use_two_stage, chroma_preset, key_color, quality
],
outputs=[video_output, status]
)
btn_cancel.click(
cb_cancel,
outputs=[status]
)
btn_clear.click(
cb_clear,
outputs=[video_output, status, gen_preview, gen_path, custom_bg]
)
btn_refresh_status.click(
cb_status,
outputs=[model_status, system_status]
)
# Update quality info when changed
quality.change(
lambda q: f"Mode: {q} ({'fastest' if q=='speed' else 'best quality' if q=='max' else 'balanced'})",
inputs=[quality],
outputs=[quality_info]
)
# COMMENTED OUT to prevent cv2 import on startup - fixes WebAssembly error
# Users can still get preview by changing the dropdown selection
# demo.load(
# cb_preset_bg_preview,
# inputs=[bg_style],
# outputs=[preset_preview]
# )
return demo |