Spaces:
Running
Running
""" | |
Training tab for Models view in Video Model Studio UI | |
""" | |
import gradio as gr | |
import logging | |
from typing import Dict, Any, List, Optional, Tuple | |
from vms.utils.base_tab import BaseTab | |
logger = logging.getLogger(__name__) | |
class TrainingTab(BaseTab): | |
"""Tab for managing models in training""" | |
def __init__(self, app_state): | |
super().__init__(app_state) | |
self.id = "training_tab" | |
self.title = "Training" | |
def create(self, parent=None) -> gr.TabItem: | |
"""Create the Training tab UI components""" | |
with gr.TabItem(self.title, id=self.id) as tab: | |
with gr.Row(): | |
gr.Markdown("## Models in Training") | |
# List for displaying models | |
with gr.Column() as models_container: | |
self.components["models_container"] = models_container | |
self.components["no_models_message"] = gr.Markdown( | |
"No models currently in training.", | |
visible=False | |
) | |
# Placeholder for model rows - will be filled dynamically | |
self.components["model_rows"] = [] | |
# Initial load of models | |
self.refresh_models() | |
return tab | |
def connect_events(self) -> None: | |
"""Connect event handlers to UI components""" | |
# Add auto-refresh timer (no checkbox dependency) | |
refresh_timer = gr.Timer(interval=5) # Check training status every 5 seconds | |
refresh_timer.tick( | |
fn=self.refresh_models, # Call directly without checking enabled flag | |
inputs=[], | |
outputs=[self.components["models_container"]] | |
) | |
def auto_refresh(self, enabled: bool) -> Optional[gr.Column]: | |
"""Auto-refresh if enabled""" | |
if enabled: | |
return self.refresh_models() | |
return None | |
def refresh_models(self) -> gr.Column: | |
"""Refresh the list of models in training""" | |
# Get models from service | |
training_models = self.app.models_tab.models_service.get_training_models() | |
# Create a new Column to replace the existing one | |
with gr.Column() as new_container: | |
if not training_models: | |
gr.Markdown("No models currently in training.") | |
else: | |
gr.Markdown(f"Found {len(training_models)} models in training:") | |
# Create headers | |
with gr.Row(equal_height=True): | |
with gr.Column(scale=1, min_width=20): | |
gr.Markdown("### Model ID") | |
with gr.Column(scale=1, min_width=20): | |
gr.Markdown("### Model Type") | |
with gr.Column(scale=2, min_width=20): | |
gr.Markdown("### Progress") | |
with gr.Column(scale=2, min_width=20): | |
gr.Markdown("### Actions") | |
# Create a row for each model | |
for model in training_models: | |
with gr.Row(equal_height=True): | |
with gr.Column(scale=1, min_width=20): | |
gr.Markdown(model.id[:8] + "...") | |
with gr.Column(scale=1, min_width=20): | |
gr.Markdown(model.model_display_name or "Unknown") | |
with gr.Column(scale=2, min_width=20): | |
progress_text = f"Step {model.current_step}/{model.total_steps}" | |
gr.Markdown(progress_text) | |
gr.Progress(value=model.training_progress/100) | |
with gr.Column(scale=2, min_width=20): | |
with gr.Row(): | |
stop_btn = gr.Button("⏹️ Stop", size="sm", variant="secondary") | |
preview_btn = gr.Button("👁️ Preview", size="sm") | |
download_btn = gr.Button("💾 Download", size="sm") | |
delete_btn = gr.Button("🗑️ Delete", size="sm", variant="stop") | |
# Connect event handlers for this specific model | |
stop_btn.click( | |
fn=lambda model_id=model.id: self.stop_training(model_id), | |
inputs=[], | |
outputs=[new_container] | |
) | |
preview_btn.click( | |
fn=lambda model_id=model.id: self.preview_model(model_id), | |
inputs=[], | |
outputs=[self.app.main_tabs] | |
) | |
download_btn.click( | |
fn=lambda model_id=model.id: self.download_model(model_id), | |
inputs=[], | |
outputs=[] | |
) | |
delete_btn.click( | |
fn=lambda model_id=model.id: self.delete_model(model_id), | |
inputs=[], | |
outputs=[new_container] | |
) | |
return new_container | |
def stop_training(self, model_id: str) -> gr.Column: | |
"""Stop training for a model""" | |
if self.app: | |
# Save current project ID | |
current_project = self.app.current_model_project_id | |
# Switch to the model to stop | |
self.app.switch_project(model_id) | |
# Stop training | |
result = self.app.training.stop_training() | |
# Switch back to original project | |
self.app.switch_project(current_project) | |
# Show result message | |
gr.Info(f"Training for model {model_id[:8]}... has been stopped.") | |
# Refresh the list | |
return self.refresh_models() | |
def preview_model(self, model_id: str) -> gr.Tabs: | |
"""Open model preview""" | |
if self.app: | |
# Switch to project view with this model | |
self.app.switch_project(model_id) | |
# Set main tab to Project (index 0) | |
return self.app.main_tabs.update(selected=0) | |
# TODO: Navigate to preview tab | |
def download_model(self, model_id: str) -> None: | |
"""Download model weights""" | |
# TODO: Implement file download | |
gr.Info(f"Download for model {model_id[:8]}... is not yet implemented") | |
def delete_model(self, model_id: str) -> gr.Column: | |
"""Delete a model and refresh the list""" | |
if self.app and self.app.models_tab.models_service.delete_model(model_id): | |
gr.Info(f"Model {model_id[:8]}... deleted successfully") | |
else: | |
gr.Warning(f"Failed to delete model {model_id[:8]}...") | |
# Refresh the models list | |
return self.refresh_models() |