app.py

# FILE: app.py
# TYPE: Main Gradio Application (Entry Point)

import gradio as gr

from validator import validate_dfqs
from benchmarks import run_benchmarks
from registry import save_model, list_models


def evaluate_model(name, architecture, size, runtime, cpu_flag):

    model_info = {
        "name": name,
        "architecture": architecture,
        "size_gb": float(size),
        "runtime": runtime,
        "cpu_feasible": cpu_flag
    }

    validation = validate_dfqs(model_info)
    benchmarks = run_benchmarks(name)

    result = {
        "model": model_info,
        "validation": validation,
        "benchmarks": benchmarks
    }

    if validation["compliant"]:
        save_model(result)

    return result


with gr.Blocks(title="DFQS v1.0 Standard Engine") as app:

    gr.Markdown("# DFQS Standard Engine")

    with gr.Tab("Validator"):

        name = gr.Textbox(label="Model Name")
        arch = gr.Textbox(label="Architecture")
        size = gr.Number(label="Size (GB)")
        runtime = gr.Dropdown(["llama.cpp", "gguf", "other"])
        cpu = gr.Checkbox(label="CPU Feasible")

        btn = gr.Button("Evaluate DFQS Compliance")
        out = gr.JSON()

        btn.click(
            evaluate_model,
            inputs=[name, arch, size, runtime, cpu],
            outputs=out
        )

    with gr.Tab("Registry"):
        gr.JSON(list_models())

app.launch()