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File size: 2,266 Bytes
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import gradio as gr
from services.huggingface import init_huggingface, update_dataset
from services.json_generator import generate_json
from ui.form_components import (
create_header_tab,
create_task_tab,
create_measures_tab,
create_system_tab,
create_software_tab,
create_infrastructure_tab,
create_environment_tab,
create_quality_tab,
create_hash_tab
)
# Initialize Hugging Face
init_huggingface()
def handle_submit(*inputs):
message, file_output, json_output = generate_json(*inputs)
# Check if the message indicates validation failure
if message.startswith("The following fields are required"):
return message, file_output, json_output
# If validation passed, proceed to update_dataset
update_output = update_dataset(json_output)
return update_output, file_output, json_output
# Create Gradio interface
with gr.Blocks() as demo:
gr.Markdown("## Data Collection Form")
gr.Markdown("Welcome to this Huggingface space that helps you fill in a form for monitoring the energy consumption of an AI model.")
# Create form tabs
header_components = create_header_tab()
task_components = create_task_tab()
measures_components = create_measures_tab()
system_components = create_system_tab()
software_components = create_software_tab()
infrastructure_components = create_infrastructure_tab()
environment_components = create_environment_tab()
quality_components = create_quality_tab()
hash_components = create_hash_tab()
# Submit and Download Buttons
submit_button = gr.Button("Submit")
output = gr.Textbox(label="Output", lines=1)
json_output = gr.Textbox(visible=False)
file_output = gr.File(label="Downloadable JSON")
# Event Handlers
submit_button.click(
handle_submit,
inputs=[
*header_components,
*task_components,
*measures_components,
*system_components,
*software_components,
*infrastructure_components,
*environment_components,
*quality_components,
*hash_components
],
outputs=[output, file_output, json_output]
)
if __name__ == "__main__":
demo.launch() |