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"""
Caption tab for Video Model Studio UI
"""
import gradio as gr
import logging
from typing import Dict, Any, List, Optional
from pathlib import Path
from .base_tab import BaseTab
from ..config import DEFAULT_CAPTIONING_BOT_INSTRUCTIONS, DEFAULT_PROMPT_PREFIX
logger = logging.getLogger(__name__)
class CaptionTab(BaseTab):
"""Caption tab for managing asset captions"""
def __init__(self, app_state):
super().__init__(app_state)
self.id = "caption_tab"
self.title = "3️⃣ Caption"
def create(self, parent=None) -> gr.TabItem:
"""Create the Caption tab UI components"""
with gr.TabItem(self.title, id=self.id) as tab:
with gr.Row():
self.components["caption_title"] = gr.Markdown("## Captioning of 0 files (0 bytes)")
with gr.Row():
with gr.Column():
with gr.Row():
self.components["custom_prompt_prefix"] = gr.Textbox(
scale=3,
label='Prefix to add to ALL captions (eg. "In the style of TOK, ")',
placeholder="In the style of TOK, ",
lines=2,
value=DEFAULT_PROMPT_PREFIX
)
self.components["captioning_bot_instructions"] = gr.Textbox(
scale=6,
label="System instructions for the automatic captioning model",
placeholder="Please generate a full description of...",
lines=5,
value=DEFAULT_CAPTIONING_BOT_INSTRUCTIONS
)
with gr.Row():
self.components["run_autocaption_btn"] = gr.Button(
"Automatically fill missing captions",
variant="primary"
)
self.components["copy_files_to_training_dir_btn"] = gr.Button(
"Copy assets to training directory",
variant="primary"
)
self.components["stop_autocaption_btn"] = gr.Button(
"Stop Captioning",
variant="stop",
interactive=False
)
with gr.Row():
with gr.Column():
self.components["training_dataset"] = gr.Dataframe(
headers=["name", "status"],
interactive=False,
wrap=True,
value=self.app.list_training_files_to_caption(),
row_count=10
)
with gr.Column():
self.components["preview_video"] = gr.Video(
label="Video Preview",
interactive=False,
visible=False
)
self.components["preview_image"] = gr.Image(
label="Image Preview",
interactive=False,
visible=False
)
self.components["preview_caption"] = gr.Textbox(
label="Caption",
lines=6,
interactive=True
)
self.components["save_caption_btn"] = gr.Button("Save Caption")
self.components["preview_status"] = gr.Textbox(
label="Status",
interactive=False,
visible=True
)
self.components["original_file_path"] = gr.State(value=None)
return tab
def connect_events(self) -> None:
"""Connect event handlers to UI components"""
# Run auto-captioning button
self.components["run_autocaption_btn"].click(
fn=self.app.show_refreshing_status,
outputs=[self.components["training_dataset"]]
).then(
fn=lambda: self.app.update_captioning_buttons_start(),
outputs=[
self.components["run_autocaption_btn"],
self.components["stop_autocaption_btn"],
self.components["copy_files_to_training_dir_btn"]
]
).then(
fn=self.app.start_caption_generation,
inputs=[
self.components["captioning_bot_instructions"],
self.components["custom_prompt_prefix"]
],
outputs=[self.components["training_dataset"]],
).then(
fn=lambda: self.app.update_captioning_buttons_end(),
outputs=[
self.components["run_autocaption_btn"],
self.components["stop_autocaption_btn"],
self.components["copy_files_to_training_dir_btn"]
]
)
# Copy files to training dir button
self.components["copy_files_to_training_dir_btn"].click(
fn=self.app.copy_files_to_training_dir,
inputs=[self.components["custom_prompt_prefix"]]
)
# Stop captioning button
self.components["stop_autocaption_btn"].click(
fn=self.app.stop_captioning,
outputs=[
self.components["training_dataset"],
self.components["run_autocaption_btn"],
self.components["stop_autocaption_btn"],
self.components["copy_files_to_training_dir_btn"]
]
)
# Dataset selection for preview
self.components["training_dataset"].select(
fn=self.app.handle_training_dataset_select,
outputs=[
self.components["preview_image"],
self.components["preview_video"],
self.components["preview_caption"],
self.components["original_file_path"],
self.components["preview_status"]
]
)
# Save caption button
self.components["save_caption_btn"].click(
fn=self.app.save_caption_changes,
inputs=[
self.components["preview_caption"],
self.components["preview_image"],
self.components["preview_video"],
self.components["original_file_path"],
self.components["custom_prompt_prefix"]
],
outputs=[self.components["preview_status"]]
).success(
fn=self.app.list_training_files_to_caption,
outputs=[self.components["training_dataset"]]
)
def refresh(self) -> Dict[str, Any]:
"""Refresh the dataset list with current data"""
training_dataset = self.app.list_training_files_to_caption()
return {
"training_dataset": training_dataset
} |