app.py

import gradio as gr
from inference import predict

def predict_ui(sequence):
    result = predict(sequence)

    if isinstance(result, float):
        prob = result
    else:
        prob = result["probability"]

    percent = prob * 100
    is_positive = prob > 0.5

    label = "🧬 Cleavage Site Likely" if is_positive else "❌ No Cleavage Site"
    color = "#22c55e" if is_positive else "#ef4444"

    return (
        f"{prob:.5f}",
        f"{percent:.3f}%",
        f"<span style='color:{color}; font-weight:bold; font-size:18px'>{label}</span>",
        percent
    )

# -----------------------------
# 🎨 Compact + Visible UI
# -----------------------------
css = """
body {
    background: linear-gradient(135deg, #0f172a, #020617);
    font-family: 'Segoe UI', sans-serif;
}

/* Center container */
.container {
    max-width: 650px;
    margin: auto;
    padding-top: 30px;
}

/* Card */
.card {
    background: rgba(255,255,255,0.05);
    backdrop-filter: blur(10px);
    border-radius: 16px;
    padding: 18px;
    box-shadow: 0 6px 20px rgba(0,0,0,0.25);
}

/* Title fix */
h1 {
    color: #ffffff !important;
    text-align: center;
    margin-bottom: 5px;
}

h3 {
    color: #cbd5f5;
    text-align: center;
    margin-top: 0;
}

/* Reduce input height */
textarea {
    min-height: 70px !important;
    border-radius: 10px !important;
}

/* Buttons */
button {
    border-radius: 10px !important;
    padding: 8px 12px !important;
    font-weight: bold;
}

/* Reduce spacing */
.gr-box {
    padding: 5px !important;
}
"""

with gr.Blocks(css=css) as demo:

    with gr.Column(elem_classes="container"):
        with gr.Column(elem_classes="card"):

            gr.Markdown(
                "# 🧬 BiTransformer Cleavage Site Predictor\n"
                
            )

            seq_input = gr.Textbox(
                label="Protein Sequence",
                placeholder="Paste sequence...",
                lines=2
            )

            predict_btn = gr.Button("🔍 Predict")

            with gr.Row():
                prob_output = gr.Textbox(label="Probability")
                percent_output = gr.Textbox(label="Percentage")

            label_output = gr.HTML(label="Result")

            confidence_bar = gr.Slider(
                minimum=0,
                maximum=100,
                step=0.1,
                label="Confidence",
                interactive=False
            )

            predict_btn.click(
                fn=predict_ui,
                inputs=seq_input,
                outputs=[prob_output, percent_output, label_output, confidence_bar]
            )

demo.launch()