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"""
Trackio Deployment on Hugging Face Spaces
A Gradio interface for experiment tracking and monitoring
"""
import gradio as gr
import os
import json
import logging
from datetime import datetime
from typing import Dict, Any, Optional
import requests
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class TrackioSpace:
"""Trackio deployment for Hugging Face Spaces"""
def __init__(self):
self.experiments = {}
self.current_experiment = None
def create_experiment(self, name: str, description: str = "") -> Dict[str, Any]:
"""Create a new experiment"""
experiment_id = f"exp_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
experiment = {
'id': experiment_id,
'name': name,
'description': description,
'created_at': datetime.now().isoformat(),
'status': 'running',
'metrics': [],
'parameters': {},
'artifacts': [],
'logs': []
}
self.experiments[experiment_id] = experiment
self.current_experiment = experiment_id
logger.info(f"Created experiment: {experiment_id} - {name}")
return experiment
def log_metrics(self, experiment_id: str, metrics: Dict[str, Any], step: Optional[int] = None):
"""Log metrics for an experiment"""
if experiment_id not in self.experiments:
raise ValueError(f"Experiment {experiment_id} not found")
metric_entry = {
'timestamp': datetime.now().isoformat(),
'step': step,
'metrics': metrics
}
self.experiments[experiment_id]['metrics'].append(metric_entry)
logger.info(f"Logged metrics for experiment {experiment_id}: {metrics}")
def log_parameters(self, experiment_id: str, parameters: Dict[str, Any]):
"""Log parameters for an experiment"""
if experiment_id not in self.experiments:
raise ValueError(f"Experiment {experiment_id} not found")
self.experiments[experiment_id]['parameters'].update(parameters)
logger.info(f"Logged parameters for experiment {experiment_id}: {parameters}")
def log_artifact(self, experiment_id: str, artifact_name: str, artifact_data: str):
"""Log an artifact for an experiment"""
if experiment_id not in self.experiments:
raise ValueError(f"Experiment {experiment_id} not found")
artifact_entry = {
'name': artifact_name,
'timestamp': datetime.now().isoformat(),
'data': artifact_data
}
self.experiments[experiment_id]['artifacts'].append(artifact_entry)
logger.info(f"Logged artifact for experiment {experiment_id}: {artifact_name}")
def get_experiment(self, experiment_id: str) -> Optional[Dict[str, Any]]:
"""Get experiment details"""
return self.experiments.get(experiment_id)
def list_experiments(self) -> Dict[str, Any]:
"""List all experiments"""
return {
'experiments': list(self.experiments.keys()),
'current_experiment': self.current_experiment,
'total_experiments': len(self.experiments)
}
def update_experiment_status(self, experiment_id: str, status: str):
"""Update experiment status"""
if experiment_id in self.experiments:
self.experiments[experiment_id]['status'] = status
logger.info(f"Updated experiment {experiment_id} status to {status}")
# Initialize Trackio space
trackio_space = TrackioSpace()
def create_experiment_interface(name: str, description: str) -> str:
"""Create a new experiment"""
try:
experiment = trackio_space.create_experiment(name, description)
return f"✅ Experiment created successfully!\nID: {experiment['id']}\nName: {experiment['name']}"
except Exception as e:
return f"❌ Error creating experiment: {str(e)}"
def log_metrics_interface(experiment_id: str, metrics_json: str, step: str) -> str:
"""Log metrics for an experiment"""
try:
metrics = json.loads(metrics_json)
step_int = int(step) if step else None
trackio_space.log_metrics(experiment_id, metrics, step_int)
return f"✅ Metrics logged successfully for experiment {experiment_id}"
except Exception as e:
return f"❌ Error logging metrics: {str(e)}"
def log_parameters_interface(experiment_id: str, parameters_json: str) -> str:
"""Log parameters for an experiment"""
try:
parameters = json.loads(parameters_json)
trackio_space.log_parameters(experiment_id, parameters)
return f"✅ Parameters logged successfully for experiment {experiment_id}"
except Exception as e:
return f"❌ Error logging parameters: {str(e)}"
def get_experiment_details(experiment_id: str) -> str:
"""Get experiment details"""
try:
experiment = trackio_space.get_experiment(experiment_id)
if experiment:
return json.dumps(experiment, indent=2)
else:
return f"❌ Experiment {experiment_id} not found"
except Exception as e:
return f"❌ Error getting experiment details: {str(e)}"
def list_experiments_interface() -> str:
"""List all experiments"""
try:
experiments_info = trackio_space.list_experiments()
return json.dumps(experiments_info, indent=2)
except Exception as e:
return f"❌ Error listing experiments: {str(e)}"
def update_experiment_status_interface(experiment_id: str, status: str) -> str:
"""Update experiment status"""
try:
trackio_space.update_experiment_status(experiment_id, status)
return f"✅ Experiment {experiment_id} status updated to {status}"
except Exception as e:
return f"❌ Error updating experiment status: {str(e)}"
# Create Gradio interface
with gr.Blocks(title="Trackio - Experiment Tracking", theme=gr.themes.Soft()) as demo:
gr.Markdown("# 🚀 Trackio Experiment Tracking")
gr.Markdown("Monitor and track your ML experiments with ease!")
with gr.Tabs():
# Create Experiment Tab
with gr.Tab("Create Experiment"):
gr.Markdown("### Create a New Experiment")
with gr.Row():
with gr.Column():
experiment_name = gr.Textbox(
label="Experiment Name",
placeholder="my_smollm3_finetune",
value="smollm3_finetune"
)
experiment_description = gr.Textbox(
label="Description",
placeholder="Fine-tuning SmolLM3 model on custom dataset",
value="SmolLM3 fine-tuning experiment"
)
create_btn = gr.Button("Create Experiment", variant="primary")
with gr.Column():
create_output = gr.Textbox(
label="Result",
lines=5,
interactive=False
)
create_btn.click(
create_experiment_interface,
inputs=[experiment_name, experiment_description],
outputs=create_output
)
# Log Metrics Tab
with gr.Tab("Log Metrics"):
gr.Markdown("### Log Training Metrics")
with gr.Row():
with gr.Column():
metrics_exp_id = gr.Textbox(
label="Experiment ID",
placeholder="exp_20231201_143022"
)
metrics_json = gr.Textbox(
label="Metrics (JSON)",
placeholder='{"loss": 0.5, "accuracy": 0.85}',
value='{"loss": 0.5, "accuracy": 0.85}'
)
metrics_step = gr.Textbox(
label="Step (optional)",
placeholder="100"
)
log_metrics_btn = gr.Button("Log Metrics", variant="primary")
with gr.Column():
metrics_output = gr.Textbox(
label="Result",
lines=3,
interactive=False
)
log_metrics_btn.click(
log_metrics_interface,
inputs=[metrics_exp_id, metrics_json, metrics_step],
outputs=metrics_output
)
# Log Parameters Tab
with gr.Tab("Log Parameters"):
gr.Markdown("### Log Experiment Parameters")
with gr.Row():
with gr.Column():
params_exp_id = gr.Textbox(
label="Experiment ID",
placeholder="exp_20231201_143022"
)
parameters_json = gr.Textbox(
label="Parameters (JSON)",
placeholder='{"learning_rate": 2e-5, "batch_size": 4}',
value='{"learning_rate": 2e-5, "batch_size": 4, "model_name": "HuggingFaceTB/SmolLM3-3B"}'
)
log_params_btn = gr.Button("Log Parameters", variant="primary")
with gr.Column():
params_output = gr.Textbox(
label="Result",
lines=3,
interactive=False
)
log_params_btn.click(
log_parameters_interface,
inputs=[params_exp_id, parameters_json],
outputs=params_output
)
# View Experiments Tab
with gr.Tab("View Experiments"):
gr.Markdown("### View Experiment Details")
with gr.Row():
with gr.Column():
view_exp_id = gr.Textbox(
label="Experiment ID",
placeholder="exp_20231201_143022"
)
view_btn = gr.Button("View Experiment", variant="primary")
list_btn = gr.Button("List All Experiments", variant="secondary")
with gr.Column():
view_output = gr.Textbox(
label="Experiment Details",
lines=15,
interactive=False
)
view_btn.click(
get_experiment_details,
inputs=[view_exp_id],
outputs=view_output
)
list_btn.click(
list_experiments_interface,
inputs=[],
outputs=view_output
)
# Update Status Tab
with gr.Tab("Update Status"):
gr.Markdown("### Update Experiment Status")
with gr.Row():
with gr.Column():
status_exp_id = gr.Textbox(
label="Experiment ID",
placeholder="exp_20231201_143022"
)
status_dropdown = gr.Dropdown(
label="Status",
choices=["running", "completed", "failed", "paused"],
value="running"
)
update_status_btn = gr.Button("Update Status", variant="primary")
with gr.Column():
status_output = gr.Textbox(
label="Result",
lines=3,
interactive=False
)
update_status_btn.click(
update_experiment_status_interface,
inputs=[status_exp_id, status_dropdown],
outputs=status_output
)
# Launch the app
if __name__ == "__main__":
demo.launch() |